Genesis10 is currently seeking a Data Engineer for a contract-to-hire position with a Global Manufacturing Company located in Whitehall, MI. This is a 6+ month contract-to-hire opportunity. Compensation: $40.00 - $60.00 per hour, W2, based on qualifications Position Overview: In this role, the successful candidate will collaborate closely with data scientists, data analysts, and IT counterparts to design data pipelines for the AI and analytical needs of a large manufacturing enterprise. This position involves modeling, building, and optimizing complex, scalable ETLs and data pipelines to support on-premise and cloud-based data warehouses and data lakes using SQL and Azure technologies. Extensive interaction with functional and IT resources will be required, making effective communication skills essential. Key Responsibilities: Design, develop, and support scalable Data Lake, Lakehouse, Data Warehouse, and AI-enabled data platforms across cloud and hybrid environments Design and develop ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, or similar technologies Design scalable data models and integration patterns to support enterprise analytics and AI initiatives Establish event-driven, streaming, batch, and API-based integration patterns across enterprise systems Build and maintain data integration pipelines for plant, business unit, or enterprise applications Implement data validation, monitoring, quality controls, and data governance best practices Develop reusable semantic models, datasets, and data products that enable self-service analytics Optimize Power BI performance, data refresh processes, and security, including Row-Level Security (RLS) and workspace governance Collaborate with business stakeholders to define reporting requirements, KPIs, and analytics solutions Optimize SQL queries and data processing performance to ensure scalable and efficient data solutions Evaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency Primary Requirements: Bachelor's degree with 3+ years of experience OR a High school diploma with 6+ years of experience Experience writing Python Experience in Azure Synapse or Fabric (ETL/ELT) Experience using DevOps to streamline pipeline deployment Ability to communicate technical concepts to non-technical audiences Passionate about moving technology forward and enjoys working in a collaborative team environment ITAR Compliance required Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/13/2026
Full time
Genesis10 is currently seeking a Data Engineer for a contract-to-hire position with a Global Manufacturing Company located in Whitehall, MI. This is a 6+ month contract-to-hire opportunity. Compensation: $40.00 - $60.00 per hour, W2, based on qualifications Position Overview: In this role, the successful candidate will collaborate closely with data scientists, data analysts, and IT counterparts to design data pipelines for the AI and analytical needs of a large manufacturing enterprise. This position involves modeling, building, and optimizing complex, scalable ETLs and data pipelines to support on-premise and cloud-based data warehouses and data lakes using SQL and Azure technologies. Extensive interaction with functional and IT resources will be required, making effective communication skills essential. Key Responsibilities: Design, develop, and support scalable Data Lake, Lakehouse, Data Warehouse, and AI-enabled data platforms across cloud and hybrid environments Design and develop ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, or similar technologies Design scalable data models and integration patterns to support enterprise analytics and AI initiatives Establish event-driven, streaming, batch, and API-based integration patterns across enterprise systems Build and maintain data integration pipelines for plant, business unit, or enterprise applications Implement data validation, monitoring, quality controls, and data governance best practices Develop reusable semantic models, datasets, and data products that enable self-service analytics Optimize Power BI performance, data refresh processes, and security, including Row-Level Security (RLS) and workspace governance Collaborate with business stakeholders to define reporting requirements, KPIs, and analytics solutions Optimize SQL queries and data processing performance to ensure scalable and efficient data solutions Evaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency Primary Requirements: Bachelor's degree with 3+ years of experience OR a High school diploma with 6+ years of experience Experience writing Python Experience in Azure Synapse or Fabric (ETL/ELT) Experience using DevOps to streamline pipeline deployment Ability to communicate technical concepts to non-technical audiences Passionate about moving technology forward and enjoys working in a collaborative team environment ITAR Compliance required Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/13/2026
Full time
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary Location: Cambridge USA; 3 days/week in office Internal job title: Forward Deployed Engineer (FDE) Data42 About the Role: The Forward Deployed Engineer (FDE) at Data42 is an embedded technical delivery leader who partners directly with domain teams to turn high-value problems into working data and AI applications. You will rapidly prototype, iterate, and productionize solutions on Palantir Foundry, bridging users, product, and platform engineering to deliver measurable outcomes. This role blends software engineering, data engineering, and product-oriented problem solving, with a strong emphasis on user workflow adoption and operational durability. About the Role Key Responsibilities: Embedded delivery and problem solving: Embed with domain teams to understand workflows, define success criteria, and translate needs into shipped capabilities; Lead discovery, solution framing, and iterative delivery from prototype to production. Build on Palantir Foundry : Design and implement end-to-end solutions in Foundry , including data pipelines, transformations, ontology alignment, and application workflows; Configure and optimize Foundry-based applications to support operational decision-making and repeatable analytics; Apply Foundry-native patterns for permissions, auditability, performance, and release management. Data engineering and modeling : Ingest, transform, and model diverse datasets to make them usable and trustworthy for analytics and applications; Define data quality checks and ensure datasets are fit for intended use (document assumptions and limitations). Application development and integration : Build user-facing applications or workflow experiences and integrate with upstream and downstream systems as needed; Support deployment, monitoring, and ongoing improvement of production applications. Cross-functional leadership : Partner closely with product managers, data scientists, data engineers, governance, and platform teams to align scope, timelines, and standards; Communicate trade-offs clearly and unblock delivery through technical and stakeholder influence. Enablement and reuse : Create reusable templates, components, and patterns to accelerate future deliveries across Data42; Mentor teammates and contribute to internal documentation, playbooks, and delivery standards. Essential Requirements: Bachelors degree in Biology, Bioengineering, Bioinformatics, Biostatistics or related discipline. 8+ years of experience working in biomedical research, bioengineering, bioinformatics or related domain. Hands-on experience with Palantir Foundry is essential for this role, building and operationalizing solutions (pipelines, ontology, applications, and access controls), with a Foundry-first engineering and delivery mindset. Solid experience in partnering with stakeholders to understand challenges and define effective solutions, developing and delivering Proof of Concepts to validate ideas and demonstrate business value. Demonstrated experience delivering software, data, or analytics products in a fast-paced, user-facing environment, with expertise in rapid prototyping to production execution. Strong programming skills and comfort working across data and application layers. Strong user empathy and workflow orientation, with proven ability to work directly with end users, clarify ambiguous requirements, and deliver iteratively. Excellent communication skills and stakeholder management skills, with strong reliability and operational discipline. Desirable requirements: Experience delivering solutions in regulated or sensitive-data environments, with strong attention to access control and audit needs. Familiarity with product discovery methods (problem framing, value definition, iterative MVP delivery). Experience with analytics, AI, or machine learning enablement within production applications. The salary for this position is expected to range between $160,300 and $297,700 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click here . Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
11/13/2026
Full time
This job is with Novartis, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Summary Location: Cambridge USA; 3 days/week in office Internal job title: Forward Deployed Engineer (FDE) Data42 About the Role: The Forward Deployed Engineer (FDE) at Data42 is an embedded technical delivery leader who partners directly with domain teams to turn high-value problems into working data and AI applications. You will rapidly prototype, iterate, and productionize solutions on Palantir Foundry, bridging users, product, and platform engineering to deliver measurable outcomes. This role blends software engineering, data engineering, and product-oriented problem solving, with a strong emphasis on user workflow adoption and operational durability. About the Role Key Responsibilities: Embedded delivery and problem solving: Embed with domain teams to understand workflows, define success criteria, and translate needs into shipped capabilities; Lead discovery, solution framing, and iterative delivery from prototype to production. Build on Palantir Foundry : Design and implement end-to-end solutions in Foundry , including data pipelines, transformations, ontology alignment, and application workflows; Configure and optimize Foundry-based applications to support operational decision-making and repeatable analytics; Apply Foundry-native patterns for permissions, auditability, performance, and release management. Data engineering and modeling : Ingest, transform, and model diverse datasets to make them usable and trustworthy for analytics and applications; Define data quality checks and ensure datasets are fit for intended use (document assumptions and limitations). Application development and integration : Build user-facing applications or workflow experiences and integrate with upstream and downstream systems as needed; Support deployment, monitoring, and ongoing improvement of production applications. Cross-functional leadership : Partner closely with product managers, data scientists, data engineers, governance, and platform teams to align scope, timelines, and standards; Communicate trade-offs clearly and unblock delivery through technical and stakeholder influence. Enablement and reuse : Create reusable templates, components, and patterns to accelerate future deliveries across Data42; Mentor teammates and contribute to internal documentation, playbooks, and delivery standards. Essential Requirements: Bachelors degree in Biology, Bioengineering, Bioinformatics, Biostatistics or related discipline. 8+ years of experience working in biomedical research, bioengineering, bioinformatics or related domain. Hands-on experience with Palantir Foundry is essential for this role, building and operationalizing solutions (pipelines, ontology, applications, and access controls), with a Foundry-first engineering and delivery mindset. Solid experience in partnering with stakeholders to understand challenges and define effective solutions, developing and delivering Proof of Concepts to validate ideas and demonstrate business value. Demonstrated experience delivering software, data, or analytics products in a fast-paced, user-facing environment, with expertise in rapid prototyping to production execution. Strong programming skills and comfort working across data and application layers. Strong user empathy and workflow orientation, with proven ability to work directly with end users, clarify ambiguous requirements, and deliver iteratively. Excellent communication skills and stakeholder management skills, with strong reliability and operational discipline. Desirable requirements: Experience delivering solutions in regulated or sensitive-data environments, with strong attention to access control and audit needs. Familiarity with product discovery methods (problem framing, value definition, iterative MVP delivery). Experience with analytics, AI, or machine learning enablement within production applications. The salary for this position is expected to range between $160,300 and $297,700 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. To learn more about the culture, rewards and benefits we offer our people click here . Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together? Benefits and Rewards: Learn about all the ways we'll help you thrive personally and professionally. Read our handbook (PDF 30 MB) EEO Statement: The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. Accessibility & Reasonable Accommodations The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to email protected or call + and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description As Associate Director, Data Science, you will proactively bring innovative data science techniques and insights to business to drive/support strategic business decisions. You would be responsible for standing up the capability of integrated HCP, patient journey and predictive sciences at scale for commercial market. The person will work closely with integrated insights, commercial ops, patient engagement and omni channel analytics leads. Hands on functional expertise, highly collaborative mindset and leadership skillsets required. This role will report to Sr. Director, Marketing Sciences and based in either Foster City, CA or Parsippany, NJ. Responsibilities: Be a partner in driving the industrialization of predictive sciences to help understand the patient journey and triggers robustly for markets. Understand Gilead's commercial business objectives, develop and deploy scalable data science products and insights to influence decisions in marketing, sales, medical and etc. Lead Data science projects end to end include convert unconstructured business questions into data science solutions, give guidance to offshore, be a hands-on leader who knows how to code and debug, communicate with stakeholders and etc. Foster a culture of measurement and impact and incorporate feedback to continuously improve data science models Bring thought leadership and thorough understanding of statistics, primarily predictive algorithms & methodologies, to construct robust propensity models for impactful commercial use Create data science products that can be refreshed, reproduced and replicated Work with other Data Scientists and Analysts to define retraining schedule and measure propensity models for impact Partner with global teams to cross-pollinate ideas and replicate successful models from other countries and vice versa Excellent communication and ability to abstract backend complexity where it is not needed Manage DS initiatives and deliveries for a priority TA Competencies: Results orientation. The ideal candidate will thrive in a fast-paced, high-growth environment. He/She/They will have a strong drive to meet and exceed goals, even under adverse circumstances, and is willing to take ownership of problems and make decisions in order to move forward. The candidate will be adept at clearly defining objectives and priorities and establishing appropriate milestones through a strong understanding of the market and innovative approaches. He/She/They will assign accountability and incorporate disciplined processes to ensure success and nimbly handle 'derailments' with contingency plans and coordination. Team leadership. The successful candidate will have demonstrated the ability to build, develop, and motivate a team as evidenced by effective hiring, coaching, and mentoring of direct reports. Additionally, this individual will have a track record of successfully leveraging diversity of thought to achieve the highest level of results. The ideal candidate will develop an inclusive culture comfortable with challenging current market paradigms to achieve and exceed goals. He/She/They will also have constructed an appropriate succession plan and process. Strategic Orientation. The successful candidate will be able to articulate evolving priorities for the business, identify market opportunities and adapt short-term plans. This includes the ability to strategically assess customer needs and build/execute specific, segmented strategies to win business across a diverse set of customers. The successful candidate will have passion for, and success in, developing commercial strategies that have measurable business impact. Collaboration and Influence. The qualified candidate must be able to influence without ownership, which they will do by demonstrating competence and confidence, being personally accessible and likable, being a good listener, use fact-based persuasion, passion, and persistence as appropriate to the audience and issue at stake. Gaining the support and involvement of key internal constituencies will be critical to success, as will influencing those important constituencies external to the company. The successful candidate must therefore have excellent skills at influencing outcomes and shaping and catalyzing dialogue across and outside the organization. Credibility and integrity are critical attributes to effectively command the respect and trust of key individuals Basic Qualifications: Bachelor's Degree and Eight Years' Experience OR Masters' Degree and Six Years' Experience OR PhD and Two Years' Experience Preferred Qualifications: Strong working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, Tree-based algorithms (RF, XGB, LightGBM), SMOTE and etc. Experience in building, implementing and using AI-based solutions with proven business impact Experience working with standard pharma and consumer data types and sources such as patient claims, Xponent, Plantrak, sales, activity. Strong leadership that be able to manage initiatives from beginning to end himself/herself Effective written and verbal communication skills Experience in implementing, optimizing and using AI-based solutions to establish proven business impact Expertise in commonly used pharma datasets such as IQVIA, Symphony, Komodo claims, Optum, Definitive health, Health Verity, EMR/HER Expertise in Python including commonly used data science libraries such as numpy, pandas, scikit-learn, seaborn, networkx, etc. Expertise in data science techniques such ANCOVA, Bayesian Statistics, Econometric modeling, Neural Networks/Logistic, etc. Understanding of cloud-based technologies and tools such as Databricks, S3, etc. Demonstrated product mindset Familiarity with product management principles Effective written and verbal communication skills Strong team player. Inclusive, objective, cross-functional, team member with a positive and solution-oriented mindset Understanding of emerging data science capabilities (fields, methodologies, algorithms, etc.) and potential application in pharma/health care Thorough understanding of datasets including their strengths and limitations such as capture rate, projections and acceptable error ranges for different therapeutic spaces Masters degree in a quantitative field with at least 8 years of relevant data science/analytics experience OR Undergraduate degree in a quantitative field with at least 10 years of relevant data science/analytics experience People Leader Accountabilities: Create Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams. Develop Talent - understand the skills, experience, aspirations, and potential of their employees and coach them on current performance and future potential. They ensure employees are receiving the feedback and insight needed to grow, develop, and realize their purpose. Empower Teams - connect the team to the organization by aligning goals, purpose, and organizational objectives and holding them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem. The salary range for this position is: Bay Area: $195,670.00 - $253,220.00. Other US Locations: $177,905.00 - $230,230.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans . For additional benefits information, visit: Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans click apply for full job details
11/13/2026
Full time
This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description As Associate Director, Data Science, you will proactively bring innovative data science techniques and insights to business to drive/support strategic business decisions. You would be responsible for standing up the capability of integrated HCP, patient journey and predictive sciences at scale for commercial market. The person will work closely with integrated insights, commercial ops, patient engagement and omni channel analytics leads. Hands on functional expertise, highly collaborative mindset and leadership skillsets required. This role will report to Sr. Director, Marketing Sciences and based in either Foster City, CA or Parsippany, NJ. Responsibilities: Be a partner in driving the industrialization of predictive sciences to help understand the patient journey and triggers robustly for markets. Understand Gilead's commercial business objectives, develop and deploy scalable data science products and insights to influence decisions in marketing, sales, medical and etc. Lead Data science projects end to end include convert unconstructured business questions into data science solutions, give guidance to offshore, be a hands-on leader who knows how to code and debug, communicate with stakeholders and etc. Foster a culture of measurement and impact and incorporate feedback to continuously improve data science models Bring thought leadership and thorough understanding of statistics, primarily predictive algorithms & methodologies, to construct robust propensity models for impactful commercial use Create data science products that can be refreshed, reproduced and replicated Work with other Data Scientists and Analysts to define retraining schedule and measure propensity models for impact Partner with global teams to cross-pollinate ideas and replicate successful models from other countries and vice versa Excellent communication and ability to abstract backend complexity where it is not needed Manage DS initiatives and deliveries for a priority TA Competencies: Results orientation. The ideal candidate will thrive in a fast-paced, high-growth environment. He/She/They will have a strong drive to meet and exceed goals, even under adverse circumstances, and is willing to take ownership of problems and make decisions in order to move forward. The candidate will be adept at clearly defining objectives and priorities and establishing appropriate milestones through a strong understanding of the market and innovative approaches. He/She/They will assign accountability and incorporate disciplined processes to ensure success and nimbly handle 'derailments' with contingency plans and coordination. Team leadership. The successful candidate will have demonstrated the ability to build, develop, and motivate a team as evidenced by effective hiring, coaching, and mentoring of direct reports. Additionally, this individual will have a track record of successfully leveraging diversity of thought to achieve the highest level of results. The ideal candidate will develop an inclusive culture comfortable with challenging current market paradigms to achieve and exceed goals. He/She/They will also have constructed an appropriate succession plan and process. Strategic Orientation. The successful candidate will be able to articulate evolving priorities for the business, identify market opportunities and adapt short-term plans. This includes the ability to strategically assess customer needs and build/execute specific, segmented strategies to win business across a diverse set of customers. The successful candidate will have passion for, and success in, developing commercial strategies that have measurable business impact. Collaboration and Influence. The qualified candidate must be able to influence without ownership, which they will do by demonstrating competence and confidence, being personally accessible and likable, being a good listener, use fact-based persuasion, passion, and persistence as appropriate to the audience and issue at stake. Gaining the support and involvement of key internal constituencies will be critical to success, as will influencing those important constituencies external to the company. The successful candidate must therefore have excellent skills at influencing outcomes and shaping and catalyzing dialogue across and outside the organization. Credibility and integrity are critical attributes to effectively command the respect and trust of key individuals Basic Qualifications: Bachelor's Degree and Eight Years' Experience OR Masters' Degree and Six Years' Experience OR PhD and Two Years' Experience Preferred Qualifications: Strong working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, Tree-based algorithms (RF, XGB, LightGBM), SMOTE and etc. Experience in building, implementing and using AI-based solutions with proven business impact Experience working with standard pharma and consumer data types and sources such as patient claims, Xponent, Plantrak, sales, activity. Strong leadership that be able to manage initiatives from beginning to end himself/herself Effective written and verbal communication skills Experience in implementing, optimizing and using AI-based solutions to establish proven business impact Expertise in commonly used pharma datasets such as IQVIA, Symphony, Komodo claims, Optum, Definitive health, Health Verity, EMR/HER Expertise in Python including commonly used data science libraries such as numpy, pandas, scikit-learn, seaborn, networkx, etc. Expertise in data science techniques such ANCOVA, Bayesian Statistics, Econometric modeling, Neural Networks/Logistic, etc. Understanding of cloud-based technologies and tools such as Databricks, S3, etc. Demonstrated product mindset Familiarity with product management principles Effective written and verbal communication skills Strong team player. Inclusive, objective, cross-functional, team member with a positive and solution-oriented mindset Understanding of emerging data science capabilities (fields, methodologies, algorithms, etc.) and potential application in pharma/health care Thorough understanding of datasets including their strengths and limitations such as capture rate, projections and acceptable error ranges for different therapeutic spaces Masters degree in a quantitative field with at least 8 years of relevant data science/analytics experience OR Undergraduate degree in a quantitative field with at least 10 years of relevant data science/analytics experience People Leader Accountabilities: Create Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams. Develop Talent - understand the skills, experience, aspirations, and potential of their employees and coach them on current performance and future potential. They ensure employees are receiving the feedback and insight needed to grow, develop, and realize their purpose. Empower Teams - connect the team to the organization by aligning goals, purpose, and organizational objectives and holding them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem. The salary range for this position is: Bay Area: $195,670.00 - $253,220.00. Other US Locations: $177,905.00 - $230,230.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans . For additional benefits information, visit: Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans click apply for full job details
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. AI Platforms Analytics and Governance Lead Description - Job Summary The rapid adoption of AI platforms such as GitHub Copilot, Azure OpenAI, and enterprise AI agents has created a need for specialized expertise to monitor usage patterns, optimize consumption, control costs, and maximize business value. Traditional Data Analyst roles primarily focus on reporting and dashboarding, while traditional Data Scientist roles focus on model development and machine learning. This position combines both disciplines to provide actionable insights, predictive analytics, and cost optimization strategies for enterprise AI investments. This will provide sustainable enterprise-scale AI adoption by balancing innovation, governance, cost management, and business value realization. This role ensures use of statistical and analytical methods to explore data, identify trends, patterns, and anomalies, and extract actionable insights including model analysis, predictive analytics, and cost optimization strategies for enterprise AI investments. The role works closely with teams across the organization to understand their data needs, provide insights, and support their data-related initiatives. Responsibilities Manage and optimize enterprise AI platforms including GitHub Copilot and OpenAI. Define platform standards, governance policies, and model consumption guidelines. Evaluate emerging AI technologies and recommend adoption strategies. Partner with security, legal, privacy, and compliance teams. Develop budget guardrails and cost allocation strategies. Create consumption forecasting models and executive dashboards. Identify optimization opportunities including: Prompt engineering Prompt caching Model routing Token reduction Context window optimization RAG optimization Batch processing Agent orchestration improvements Defines and creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects. Analyzing AI platform usage, token consumption, licensing utilization, and user adoption trends. Developing forecasting models to predict AI credit consumption, budget requirements, and capacity needs. Leverages recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, development partners, and industry standards groups. Drives innovation and integration of new data science related technologies and practices into projects and activities in the business. Stays up-to-date with emerging technologies and trends in the business intelligence field, and recommends innovative solutions. Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction. Provides mentorship and guidance to lower-level employees, thus ensuring the realization of operational and strategic plans. Creating executive dashboards and KPIs to measure AI adoption, business value realization, and return on investment. Performing statistical analysis and machine learning techniques to detect anomalies, forecast spend, and recommend efficiency improvements. Partnering with platform owners, engineering teams, finance, procurement, and business stakeholders to drive data-driven decisions. Education & Experience Recommended Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 7+ years of work experience, preferably in data analytics, database management, statistical analysis, or a related field. Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills • Agile Methodology • Business Intelligence • Computer Science • Dashboard • Data Analysis • Data Management • Data Modeling • Data Quality • Data Science • Data Visualization • Data Warehousing • Extract Transform Load (ETL) • Machine Learning • Power BI • Python (Programming Language) • R (Programming Language) • SAS (Software) • SQL (Programming Language) • Statistics • Tableau (Business Intelligence Software) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope Impacts large functions and leads large, cross-division functional teams or projects. Complexity Provides highly innovative solutions to complex problems within established policy. Pay & Benefits The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Yes Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/13/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. AI Platforms Analytics and Governance Lead Description - Job Summary The rapid adoption of AI platforms such as GitHub Copilot, Azure OpenAI, and enterprise AI agents has created a need for specialized expertise to monitor usage patterns, optimize consumption, control costs, and maximize business value. Traditional Data Analyst roles primarily focus on reporting and dashboarding, while traditional Data Scientist roles focus on model development and machine learning. This position combines both disciplines to provide actionable insights, predictive analytics, and cost optimization strategies for enterprise AI investments. This will provide sustainable enterprise-scale AI adoption by balancing innovation, governance, cost management, and business value realization. This role ensures use of statistical and analytical methods to explore data, identify trends, patterns, and anomalies, and extract actionable insights including model analysis, predictive analytics, and cost optimization strategies for enterprise AI investments. The role works closely with teams across the organization to understand their data needs, provide insights, and support their data-related initiatives. Responsibilities Manage and optimize enterprise AI platforms including GitHub Copilot and OpenAI. Define platform standards, governance policies, and model consumption guidelines. Evaluate emerging AI technologies and recommend adoption strategies. Partner with security, legal, privacy, and compliance teams. Develop budget guardrails and cost allocation strategies. Create consumption forecasting models and executive dashboards. Identify optimization opportunities including: Prompt engineering Prompt caching Model routing Token reduction Context window optimization RAG optimization Batch processing Agent orchestration improvements Defines and creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects. Analyzing AI platform usage, token consumption, licensing utilization, and user adoption trends. Developing forecasting models to predict AI credit consumption, budget requirements, and capacity needs. Leverages recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, development partners, and industry standards groups. Drives innovation and integration of new data science related technologies and practices into projects and activities in the business. Stays up-to-date with emerging technologies and trends in the business intelligence field, and recommends innovative solutions. Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction. Provides mentorship and guidance to lower-level employees, thus ensuring the realization of operational and strategic plans. Creating executive dashboards and KPIs to measure AI adoption, business value realization, and return on investment. Performing statistical analysis and machine learning techniques to detect anomalies, forecast spend, and recommend efficiency improvements. Partnering with platform owners, engineering teams, finance, procurement, and business stakeholders to drive data-driven decisions. Education & Experience Recommended Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 7+ years of work experience, preferably in data analytics, database management, statistical analysis, or a related field. Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills • Agile Methodology • Business Intelligence • Computer Science • Dashboard • Data Analysis • Data Management • Data Modeling • Data Quality • Data Science • Data Visualization • Data Warehousing • Extract Transform Load (ETL) • Machine Learning • Power BI • Python (Programming Language) • R (Programming Language) • SAS (Software) • SQL (Programming Language) • Statistics • Tableau (Business Intelligence Software) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope Impacts large functions and leads large, cross-division functional teams or projects. Complexity Provides highly innovative solutions to complex problems within established policy. Pay & Benefits The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Yes Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
Job Description Job Description Big Data, dataflows, Artificial Intelligence / Machine Learning (AI/ML) familiarity, Analytics in GME, Jupyter notebooks, and Spark. Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position. Required: Must be a US Citizen Must have TS/SCI clearance w/ active polygraph This position is open to multiple levels of years of experience; two (02) years within the last five (05) years must be directly related to the job you are applying for: Level 04 requires a minimum seventeen (17) years of experience w/ Degree Level 03 requires a minimum twelve (12) years of experience w/ Degree Level 02 requires a minimum five (05) years of experience w/ Degree Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper-level math courses designated as elementary or basic do not count. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C , data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity. Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical); Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations). Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent to Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Agency collection, processing, storage and analytic capabilities and limitations. These Qualifications Would be Nice to Have: Fully Cleared polygraph is preferred Knowledge of working with Big Data, dataflows, Machine Learning/Artificial Intelligence familiarity. Analytics in GME, Jupyter notebooks, and Spark. The pay range for this job, with multi-levels, is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. The benefits package: • Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA • Comprehensive Dental insurance • Vision with 80% employer paid premium • Employer paid Life insurance 100% • Employer paid Short-term and Long-term disability 100% • Annual training, continued education, and professional memberships reimbursement • Unlimited access to Red Hat Enterprise Linux and AWS training and accreditation • Annual reimbursement for technology i.e. phones, computers, printers, etc. • 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment) The environment and perks: • Professional development investment and paid time off for training • Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, Florida and Hawaii. • Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers • Leadership Team engagement and mentorship • Performance Recognition Program • Complimentary branded apparel Don't see a job opening that's the perfect fit? Apply to our General Position to join our talent pool for consideration for future opportunities. Know someone else who may be a good fit? Refer them through the CTI External Referral Program and you could receive a one-time referral bonus of up to $10,000 ! Email for more information. Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTI's equal employment opportunity policy to . We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
11/13/2026
Full time
Job Description Job Description Big Data, dataflows, Artificial Intelligence / Machine Learning (AI/ML) familiarity, Analytics in GME, Jupyter notebooks, and Spark. Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position. Required: Must be a US Citizen Must have TS/SCI clearance w/ active polygraph This position is open to multiple levels of years of experience; two (02) years within the last five (05) years must be directly related to the job you are applying for: Level 04 requires a minimum seventeen (17) years of experience w/ Degree Level 03 requires a minimum twelve (12) years of experience w/ Degree Level 02 requires a minimum five (05) years of experience w/ Degree Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper-level math courses designated as elementary or basic do not count. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C , data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity. Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical); Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations). Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent to Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Agency collection, processing, storage and analytic capabilities and limitations. These Qualifications Would be Nice to Have: Fully Cleared polygraph is preferred Knowledge of working with Big Data, dataflows, Machine Learning/Artificial Intelligence familiarity. Analytics in GME, Jupyter notebooks, and Spark. The pay range for this job, with multi-levels, is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. The benefits package: • Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA • Comprehensive Dental insurance • Vision with 80% employer paid premium • Employer paid Life insurance 100% • Employer paid Short-term and Long-term disability 100% • Annual training, continued education, and professional memberships reimbursement • Unlimited access to Red Hat Enterprise Linux and AWS training and accreditation • Annual reimbursement for technology i.e. phones, computers, printers, etc. • 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment) The environment and perks: • Professional development investment and paid time off for training • Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, Florida and Hawaii. • Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers • Leadership Team engagement and mentorship • Performance Recognition Program • Complimentary branded apparel Don't see a job opening that's the perfect fit? Apply to our General Position to join our talent pool for consideration for future opportunities. Know someone else who may be a good fit? Refer them through the CTI External Referral Program and you could receive a one-time referral bonus of up to $10,000 ! Email for more information. Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTI's equal employment opportunity policy to . We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Overview: Visa Acceptance Intelligence is the foundation for innovative payment experiences through secure, resilient services and a broad ecosystem of technology and payments partners. We are building on that foundation to help businesses make smarter decisions with data. At Visa, we believe AI can transform how commerce works. Through Acceptance Analytics and Intelligence and Visa Intelligent Commerce, we're developing data products that connect information and surface actionable insights for Visa clients. We are looking for a curious, versatile Senior Applied Scientist to help advance this work. You'll partner with scientists, engineers, product leaders, and business stakeholders to design, build, and evaluate intelligent products-from forecasting and NLP solutions to carefully evaluate applications of large language models (LLMs). You will help turn promising ideas into reliable, useful capabilities for customers. If you enjoy working across research and production, questioning assumptions, and solving meaningful problems at scale, we'd like to meet you. Essential Functions: Develop and evaluate time-series analysis and forecasting approaches for business and payments use cases. Apply NLP and LLM techniques to data and intelligence products, including fine-tuning or other model-adaptation methods when appropriate. Design rigorous evaluation strategies for LLM-powered systems, including task-specific quality measures and assessment of reliability. Explore how LLMs can complement established analytical methods in time-series workflows, selecting techniques based on the problem, data, and evaluation results. Improve data extraction and preparation through data wrangling, complex data modeling, and AI-assisted approaches; raise the quality, completeness, and usability of data. Follow and strengthen data-management and governance practices that support high-quality, dependable products. Translate sophisticated technical and business needs into clear specifications with product owners, business partners, cybersecurity teams, and other collaborators. Identify dependencies across upstream and downstream systems and help shape solutions that work across the platform. Find meaningful patterns across relevant data sources and turn them into insights, product opportunities, and recommendations for future platform improvements. Contribute to technical roadmaps and, where relevant, recommend software upgrades or security remediation. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor's Degree or 7 or more relevant years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 3 or more years of experience with a PhD. PhD degree in computer science or relevant area. Experience in solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS). Experience with Big Data and Analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce. Information for US Applicants For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
11/13/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Overview: Visa Acceptance Intelligence is the foundation for innovative payment experiences through secure, resilient services and a broad ecosystem of technology and payments partners. We are building on that foundation to help businesses make smarter decisions with data. At Visa, we believe AI can transform how commerce works. Through Acceptance Analytics and Intelligence and Visa Intelligent Commerce, we're developing data products that connect information and surface actionable insights for Visa clients. We are looking for a curious, versatile Senior Applied Scientist to help advance this work. You'll partner with scientists, engineers, product leaders, and business stakeholders to design, build, and evaluate intelligent products-from forecasting and NLP solutions to carefully evaluate applications of large language models (LLMs). You will help turn promising ideas into reliable, useful capabilities for customers. If you enjoy working across research and production, questioning assumptions, and solving meaningful problems at scale, we'd like to meet you. Essential Functions: Develop and evaluate time-series analysis and forecasting approaches for business and payments use cases. Apply NLP and LLM techniques to data and intelligence products, including fine-tuning or other model-adaptation methods when appropriate. Design rigorous evaluation strategies for LLM-powered systems, including task-specific quality measures and assessment of reliability. Explore how LLMs can complement established analytical methods in time-series workflows, selecting techniques based on the problem, data, and evaluation results. Improve data extraction and preparation through data wrangling, complex data modeling, and AI-assisted approaches; raise the quality, completeness, and usability of data. Follow and strengthen data-management and governance practices that support high-quality, dependable products. Translate sophisticated technical and business needs into clear specifications with product owners, business partners, cybersecurity teams, and other collaborators. Identify dependencies across upstream and downstream systems and help shape solutions that work across the platform. Find meaningful patterns across relevant data sources and turn them into insights, product opportunities, and recommendations for future platform improvements. Contribute to technical roadmaps and, where relevant, recommend software upgrades or security remediation. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor's Degree or 7 or more relevant years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 3 or more years of experience with a PhD. PhD degree in computer science or relevant area. Experience in solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS). Experience with Big Data and Analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce. Information for US Applicants For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
Job Description Job Description Principal Data Scientist - Remote, AI, Machine Learning, Fraud Detection & Risk Modeling Remote position available to candidates residing in Georgia, South Carolina, North Carolina, Florida, or Tennessee. Preference given to candidates located near our Augusta, GA or Charlotte, NC operations. Principal Data Scientist, Artificial Intelligence (AI), Machine Learning, Fraud Detection, Risk Modeling, Generative AI, Large Language Models (LLMs), Predictive Analytics, MLOps, Python, SQL, Snowflake, Databricks. Who we are: At TaxSlayer, we're more than just a tax software development company; we're empowering individuals and small businesses to plan for and file their tax returns online with confidence and ease. As a leading innovator in tax prep software, TaxSlayer, LLC, has been revolutionizing the way people file their taxes since 1965. Our user-friendly platform offers an intuitive interface that guides customers through the tax-filing process step by step, ensuring accuracy and maximum refunds. TaxSlayer is headquartered in Augusta, GA with a satellite office in Charlotte, NC. TaxSlayer proudly employs nearly 200 individuals year-round, plus 300 additional in-season support agents. Our employees are among the brightest, most talented group of innovators who work collaboratively to improve our products and exceed customer expectations season after season. Are you a TaxSlayer? Job Summary The Principal Data Scientist is a senior technical leader who drives advanced machine learning and data science initiatives across the organization. This role combines hands-on technical expertise with strategic influence. The Principal Data Scientist owns end-to-end delivery of complex ML projects, presents recommendations to leadership, leads technical discussions, and serves as the recognized authority on modeling approaches. The role partners cross-functionally with Product, Engineering, Finance, and Marketing to define and solve high-impact business problems, with particular focus on fraud detection, customer intelligence, and risk modeling. Core Responsibilities Own end-to-end delivery of strategic, high-impact data science projects from problem definition through production deployment, monitoring, and optimization. Lead scoping discussions and present project results as subject-matter authority. Develop and deploy advanced machine learning models for fraud detection, risk assessment, anomaly detection, customer segmentation, and churn prediction. Build real-time scoring pipelines, ensure production reliability, and present model design choices as the authority on their technical merits. Lead fraud detection initiatives, designing detection algorithms, collaborating with compliance and investigation teams, and continuously improving model performance as fraud patterns evolve. Evaluate and apply emerging AI and machine learning technologies, including large language models (LLMs), generative AI, and agentic systems, to enhance product capabilities and competitive advantage. Define and document best practices for model development, testing, and deployment, and present them to stakeholders as the authority on the subject. Design and build scalable data pipelines, feature engineering frameworks, and reusable modeling infrastructure that accelerate model development and deployment across the organization. Monitor model performance, data quality, and business outcomes in production. Identify degradation, troubleshoot issues, drive continuous improvements, and present findings while leading discussions on remediation priorities. Partner with Product, Engineering, Finance, and Marketing teams to define analytical requirements, establish success metrics, and deliver recommendations that drive strategic decision-making. Present complex analytical findings and strategic recommendations to executive leadership and business stakeholders with clarity and confidence. Communicate technical concepts to diverse audiences and drive adoption of data-driven strategies. Ensure all models and analytical processes comply with regulatory, privacy, security, and governance requirements. Collaborate with compliance and legal teams as needed. Stay current on emerging data science, ML, and AI trends. Identify, prototype, and recommend innovations that improve customer experience and competitive position. Contribute to documentation, best practices, architectural decisions, and reusable code libraries that strengthen the organization's data science capabilities. Your Impact in This Role Successful deployment and adoption of advanced ML models that generate measurable business impact (fraud reduction, conversion improvement, risk mitigation, operational efficiency), with results presented clearly to leadership. Demonstrated ability to identify and execute high-impact strategic initiatives independently with minimal direction or coaching, and to lead discussions that align stakeholders on priorities. Clear, confident communication and presentation of complex technical concepts to executives and stakeholders; proven ability to lead discussions, serve as the authority in the room, and influence decisions. Improved data science processes, tooling, and infrastructure that reduce time-to-model and accelerate deployment cycles. Required Qualifications Education & Experience: Master's or PhD degree in a quantitative field (Data Science, Computer Science, Statistics, Mathematics, Physics) or equivalent 8+ years of hands-on industry experience as a Data Scientist, Machine Learning Engineer, or similar role, with experience presenting complex work to senior audiences. Demonstrated success leading multiple end-to-end machine learning projects from ideation through production deployment and monitoring, including presenting outcomes and leading project discussions with stakeholders. Proven track record of self-initiated, high-impact projects executed with full ownership and minimal oversight. Skills & Competencies: Very high proficiency in multiple machine learning methods: supervised learning, unsupervised learning, and deep learning. Able to lead method-selection discussions as the subject matter expert. Advanced expertise in SQL and Python; strong software engineering fundamentals including version control, testing, code design, and distributed systems concepts. Strong proficiency in AI technologies, including experience evaluating, fine-tuning, or deploying large language models (LLMs) and generative AI systems in production. Strong experience with modern ML operations (MLOps), model deployment, monitoring, and serving in production environments; hands-on familiarity with cloud platforms (Snowflake, Databricks, AWS, GCP, or Azure). Strong understanding of statistical analysis, experimentation design, A/B testing, hypothesis testing, and causal inference methodologies. Experience building real-time or near-real-time scoring systems and production ML pipelines. Excellent communication skills: ability to explain complex technical concepts clearly to both technical and non-technical audiences. Strong presentation skills and ability to lead discussions without heavy coaching. Strong cross-functional collaboration and stakeholder management skills. Comfortable influencing decisions and driving adoption across Product, Engineering, Finance, and business teams. Preferred Qualifications: Experience in financial services, tax preparation, SaaS, fintech, or e-commerce industries. Hands-on experience building fraud detection, anomaly detection, or risk modeling systems. Physical & Work Environment Requirements This is a fully remote role (US-based only). Occasional travel within US is required for team collaboration, strategy sessions, and business meetings (estimated 4-6 times per year). Work is performed in a standard office environment with remote flexibility. Must be able to work at a computer for extended periods. What we offer: At TaxSlayer we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive, and flexible benefits program. We offer flexible remote and/or hybrid work options when possible, depending on the role. Exempt Salaried employees receive a generous PTO bank, in addition to Paid Holidays. Insurance: Medical, Dental, and Vision insurance offerings from Aetna and SunLife. Options for Employee Only, Employee + Spouse/Domestic Partner, Employee + Children, or Family. 401K with 150% match on up to 3% contribution Performance-based bonus and salary review process Other offerings: Wellness Program, Life Insurance for employee, Long-term and Short-term disability, Critical Illness Insurance, Accident Insurance, Education Assistance, company-paid parking, on-site fitness facility, and a company store. Apply today and don't forget to opt in for text updates from our recruiting team! Please note: As a federal contractor, we are responsible to ensure our employees meet any obligations set forth by the U.S. government. We will inform you of any applicable requirements as they arise. Legal Disclaimers TaxSlayer is an equal opportunity employer and complies with all applicable laws regarding discrimination. Employment is based on qualifications, merit, and business need. . click apply for full job details
11/13/2026
Full time
Job Description Job Description Principal Data Scientist - Remote, AI, Machine Learning, Fraud Detection & Risk Modeling Remote position available to candidates residing in Georgia, South Carolina, North Carolina, Florida, or Tennessee. Preference given to candidates located near our Augusta, GA or Charlotte, NC operations. Principal Data Scientist, Artificial Intelligence (AI), Machine Learning, Fraud Detection, Risk Modeling, Generative AI, Large Language Models (LLMs), Predictive Analytics, MLOps, Python, SQL, Snowflake, Databricks. Who we are: At TaxSlayer, we're more than just a tax software development company; we're empowering individuals and small businesses to plan for and file their tax returns online with confidence and ease. As a leading innovator in tax prep software, TaxSlayer, LLC, has been revolutionizing the way people file their taxes since 1965. Our user-friendly platform offers an intuitive interface that guides customers through the tax-filing process step by step, ensuring accuracy and maximum refunds. TaxSlayer is headquartered in Augusta, GA with a satellite office in Charlotte, NC. TaxSlayer proudly employs nearly 200 individuals year-round, plus 300 additional in-season support agents. Our employees are among the brightest, most talented group of innovators who work collaboratively to improve our products and exceed customer expectations season after season. Are you a TaxSlayer? Job Summary The Principal Data Scientist is a senior technical leader who drives advanced machine learning and data science initiatives across the organization. This role combines hands-on technical expertise with strategic influence. The Principal Data Scientist owns end-to-end delivery of complex ML projects, presents recommendations to leadership, leads technical discussions, and serves as the recognized authority on modeling approaches. The role partners cross-functionally with Product, Engineering, Finance, and Marketing to define and solve high-impact business problems, with particular focus on fraud detection, customer intelligence, and risk modeling. Core Responsibilities Own end-to-end delivery of strategic, high-impact data science projects from problem definition through production deployment, monitoring, and optimization. Lead scoping discussions and present project results as subject-matter authority. Develop and deploy advanced machine learning models for fraud detection, risk assessment, anomaly detection, customer segmentation, and churn prediction. Build real-time scoring pipelines, ensure production reliability, and present model design choices as the authority on their technical merits. Lead fraud detection initiatives, designing detection algorithms, collaborating with compliance and investigation teams, and continuously improving model performance as fraud patterns evolve. Evaluate and apply emerging AI and machine learning technologies, including large language models (LLMs), generative AI, and agentic systems, to enhance product capabilities and competitive advantage. Define and document best practices for model development, testing, and deployment, and present them to stakeholders as the authority on the subject. Design and build scalable data pipelines, feature engineering frameworks, and reusable modeling infrastructure that accelerate model development and deployment across the organization. Monitor model performance, data quality, and business outcomes in production. Identify degradation, troubleshoot issues, drive continuous improvements, and present findings while leading discussions on remediation priorities. Partner with Product, Engineering, Finance, and Marketing teams to define analytical requirements, establish success metrics, and deliver recommendations that drive strategic decision-making. Present complex analytical findings and strategic recommendations to executive leadership and business stakeholders with clarity and confidence. Communicate technical concepts to diverse audiences and drive adoption of data-driven strategies. Ensure all models and analytical processes comply with regulatory, privacy, security, and governance requirements. Collaborate with compliance and legal teams as needed. Stay current on emerging data science, ML, and AI trends. Identify, prototype, and recommend innovations that improve customer experience and competitive position. Contribute to documentation, best practices, architectural decisions, and reusable code libraries that strengthen the organization's data science capabilities. Your Impact in This Role Successful deployment and adoption of advanced ML models that generate measurable business impact (fraud reduction, conversion improvement, risk mitigation, operational efficiency), with results presented clearly to leadership. Demonstrated ability to identify and execute high-impact strategic initiatives independently with minimal direction or coaching, and to lead discussions that align stakeholders on priorities. Clear, confident communication and presentation of complex technical concepts to executives and stakeholders; proven ability to lead discussions, serve as the authority in the room, and influence decisions. Improved data science processes, tooling, and infrastructure that reduce time-to-model and accelerate deployment cycles. Required Qualifications Education & Experience: Master's or PhD degree in a quantitative field (Data Science, Computer Science, Statistics, Mathematics, Physics) or equivalent 8+ years of hands-on industry experience as a Data Scientist, Machine Learning Engineer, or similar role, with experience presenting complex work to senior audiences. Demonstrated success leading multiple end-to-end machine learning projects from ideation through production deployment and monitoring, including presenting outcomes and leading project discussions with stakeholders. Proven track record of self-initiated, high-impact projects executed with full ownership and minimal oversight. Skills & Competencies: Very high proficiency in multiple machine learning methods: supervised learning, unsupervised learning, and deep learning. Able to lead method-selection discussions as the subject matter expert. Advanced expertise in SQL and Python; strong software engineering fundamentals including version control, testing, code design, and distributed systems concepts. Strong proficiency in AI technologies, including experience evaluating, fine-tuning, or deploying large language models (LLMs) and generative AI systems in production. Strong experience with modern ML operations (MLOps), model deployment, monitoring, and serving in production environments; hands-on familiarity with cloud platforms (Snowflake, Databricks, AWS, GCP, or Azure). Strong understanding of statistical analysis, experimentation design, A/B testing, hypothesis testing, and causal inference methodologies. Experience building real-time or near-real-time scoring systems and production ML pipelines. Excellent communication skills: ability to explain complex technical concepts clearly to both technical and non-technical audiences. Strong presentation skills and ability to lead discussions without heavy coaching. Strong cross-functional collaboration and stakeholder management skills. Comfortable influencing decisions and driving adoption across Product, Engineering, Finance, and business teams. Preferred Qualifications: Experience in financial services, tax preparation, SaaS, fintech, or e-commerce industries. Hands-on experience building fraud detection, anomaly detection, or risk modeling systems. Physical & Work Environment Requirements This is a fully remote role (US-based only). Occasional travel within US is required for team collaboration, strategy sessions, and business meetings (estimated 4-6 times per year). Work is performed in a standard office environment with remote flexibility. Must be able to work at a computer for extended periods. What we offer: At TaxSlayer we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive, and flexible benefits program. We offer flexible remote and/or hybrid work options when possible, depending on the role. Exempt Salaried employees receive a generous PTO bank, in addition to Paid Holidays. Insurance: Medical, Dental, and Vision insurance offerings from Aetna and SunLife. Options for Employee Only, Employee + Spouse/Domestic Partner, Employee + Children, or Family. 401K with 150% match on up to 3% contribution Performance-based bonus and salary review process Other offerings: Wellness Program, Life Insurance for employee, Long-term and Short-term disability, Critical Illness Insurance, Accident Insurance, Education Assistance, company-paid parking, on-site fitness facility, and a company store. Apply today and don't forget to opt in for text updates from our recruiting team! Please note: As a federal contractor, we are responsible to ensure our employees meet any obligations set forth by the U.S. government. We will inform you of any applicable requirements as they arise. Legal Disclaimers TaxSlayer is an equal opportunity employer and complies with all applicable laws regarding discrimination. Employment is based on qualifications, merit, and business need. . click apply for full job details
Job Description Job Description PSR Associates is a consulting and talent solutions firm that connects qualified IT professionals with great opportunities. Whether you're looking for a contract or permanent position, we can help you find the right fit for your skills and experience. We have a team of experienced recruiters who know the IT industry inside and out, and we work with you every step of the way to ensure a smooth and successful transition. PSR Connecting Talent, Crafting Success. Data Scientist Position Description We are seeking a Data Scientist to join our team. The selected candidate will work a hybrid schedule consisting of one (1) day each week onsite in Indianapolis, Indiana and four (4) days each week remotely. Summary: This role supports data integration, pipeline development, data modeling, governance, and documentation while collaborating with cross-functional teams to deliver high-quality, reliable data products for the agency. The position plays a key role in implementing the agency s data strategy by developing batch and streaming pipelines, optimizing data warehouse workloads, and enforcing data governance standards. The position assists with requirements gathering, solution reviews, and technical support, and works closely with data architects, scientists, analysts, and project managers to translate business needs into technical designs. This role supports operational processes, contributes to policy and procedure improvements, and may provide mentorship or supervision based on agency needs. Job Duties: Assists with the data technology strategy, including resolving strategic data integration issues, such as data quality and stewardship, real-time and event-based data integration, and crafting a universal vision for data integration. Provides direction and oversight for the design and implementation of data solutions for integration and synthesis across multiple secure systems. Assists with the definition, implementation, and continued adherence to new data management policies and design standards for data engineering. Provides advice, training, and technical support for various projects. Participates in project activities such as requirements gathering, solution reviews, and explaining technical complexities to non-technical personnel. Works closely with solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation. Assists with extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods. Designs, builds, and maintains batch and streaming data pipelines in Azure Databricks using PySpark, Spark SQL, and Delta Lake, following a medallion (bronze/silver/gold) lakehouse architecture. Develops, loads, and tunes dimensional data models and SQL workloads in Azure Synapse Analytics (dedicated and serverless SQL pools) to support reporting and dashboard needs. Orchestrates and monitors data workflows using Databricks Workflows/Jobs and Synapse or Azure Data Factory pipelines, including scheduling, alerting, and failure recovery. Applies data governance and security controls (e.g., Unity Catalog permissions, role-based access, row- and column-level security, and data masking) to protect sensitive health data (PHI/PII) in accordance with HIPAA and agency policy. Assists in documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code. Assists in operations by conducting systems analysis and recommending changes in policies and procedures. Additional Information: The job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Other duties, responsibilities, and activities may change or be assigned at any time. Please note that any false information on your resume or application could lead to the offer being withdrawn or even termination after hire.
11/12/2026
Full time
Job Description Job Description PSR Associates is a consulting and talent solutions firm that connects qualified IT professionals with great opportunities. Whether you're looking for a contract or permanent position, we can help you find the right fit for your skills and experience. We have a team of experienced recruiters who know the IT industry inside and out, and we work with you every step of the way to ensure a smooth and successful transition. PSR Connecting Talent, Crafting Success. Data Scientist Position Description We are seeking a Data Scientist to join our team. The selected candidate will work a hybrid schedule consisting of one (1) day each week onsite in Indianapolis, Indiana and four (4) days each week remotely. Summary: This role supports data integration, pipeline development, data modeling, governance, and documentation while collaborating with cross-functional teams to deliver high-quality, reliable data products for the agency. The position plays a key role in implementing the agency s data strategy by developing batch and streaming pipelines, optimizing data warehouse workloads, and enforcing data governance standards. The position assists with requirements gathering, solution reviews, and technical support, and works closely with data architects, scientists, analysts, and project managers to translate business needs into technical designs. This role supports operational processes, contributes to policy and procedure improvements, and may provide mentorship or supervision based on agency needs. Job Duties: Assists with the data technology strategy, including resolving strategic data integration issues, such as data quality and stewardship, real-time and event-based data integration, and crafting a universal vision for data integration. Provides direction and oversight for the design and implementation of data solutions for integration and synthesis across multiple secure systems. Assists with the definition, implementation, and continued adherence to new data management policies and design standards for data engineering. Provides advice, training, and technical support for various projects. Participates in project activities such as requirements gathering, solution reviews, and explaining technical complexities to non-technical personnel. Works closely with solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation. Assists with extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods. Designs, builds, and maintains batch and streaming data pipelines in Azure Databricks using PySpark, Spark SQL, and Delta Lake, following a medallion (bronze/silver/gold) lakehouse architecture. Develops, loads, and tunes dimensional data models and SQL workloads in Azure Synapse Analytics (dedicated and serverless SQL pools) to support reporting and dashboard needs. Orchestrates and monitors data workflows using Databricks Workflows/Jobs and Synapse or Azure Data Factory pipelines, including scheduling, alerting, and failure recovery. Applies data governance and security controls (e.g., Unity Catalog permissions, role-based access, row- and column-level security, and data masking) to protect sensitive health data (PHI/PII) in accordance with HIPAA and agency policy. Assists in documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments, and clear code. Assists in operations by conducting systems analysis and recommending changes in policies and procedures. Additional Information: The job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Other duties, responsibilities, and activities may change or be assigned at any time. Please note that any false information on your resume or application could lead to the offer being withdrawn or even termination after hire.
Job Description Job Description Title: Data Scientist Location: Indianapolis, IN On- site/Remote/Hybrid: Hybrid Duration: 12 Months Interview Process: Web cam interview No of submissions: 1 No of Positions: 1 Local candidates only will be considered for this position. Note: Designs, builds, and maintains secure, scalable data solutions across Azure Databricks and Azure Synapse Analytics. Job Description: This role supports data integration, pipeline development, data modeling, governance, and documentation while collaborating with cross-functional teams to deliver high quality, reliable data products for the agency. Plays a key role in implementing the agency's data strategy by developing batch and streaming pipelines, optimizing data warehouse workloads, and enforcing data governance standards. The position assists with requirements gathering, solution reviews, and technical support, and works closely with data architects, scientists, analysts, and project managers to translate business needs into technical designs. This role supports operational processes, contributes to policy and procedure improvements, and may provide mentorship or supervision based on agency needs. Job Duties Assists with the data technology strategy, including resolving strategic data integration issues, such as data quality and stewardship, real-time, Event-based data integration, and crafting a universal vision for data integration Provides direction and oversight for the design and implementation of data solutions for integration and synthesis across multiple secure systems Assists with the definition, implementation, and continued adherence of new data management policies and design standards for data engineering Provides advice, training, and technical support for various projects Participates in project activities such as requirements gathering, solution reviews, and explaining technical complexities to non-technical personnel Work closely with the solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation Assists with extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods. Designs, builds, and maintains batch and streaming data pipelines in Azure Databricks using Py Spark, Spark SQL, and Delta Lake, following a medallion (bronze/silver/gold) lake house architecture Develops, loads, and tunes dimensional data models and SQL workloads in Azure Synapse Analytics (dedicated and serverless SQL pools) to support reporting and dashboard needs Orchestrates and monitors data workflows using Databricks Workflows/Jobs and Synapse or Azure Data Factory pipelines, including scheduling, alerting, and failure recovery Applies data governance and security controls (e.g., Unity Catalog permissions, role-based access, row- and column-level security, data masking) to protect sensitive health data (PHI/PII) in accordance with HIPAA and agency policy Assists with documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code. Assists in operations by conducting systems analysis; recommending changes in policies and procedures. The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time. Skills: Master's degree in data science, analytics, informatics, computer science, mathematics, engineering, or related field; Required 4 Years Bachelor's degree in a related field plus 2 years of relevant experience; or 4 years of hands-on experience in a similar data engineering role Required 4 Years Relevant certifications and coursework may substitute for formal education/experience requirements Required 4 Years Developing with Databricks notebooks in PySpark, Spark SQL, and R, including transformations, joins, aggregations, and window functions Required 4 Years ACID transactions, MERGE upserts, schema enforcement/evolution, time travel, and table maintenance (OPTIMIZE, Z-order, VACUUM) Required 4 Years Working with medallion (bronze/silver/gold) architecture and incremental ingestion via Auto Loader, Structured Streaming, or Lakeflow/DLT Required 4 Years Using Unity Catalog for Workspace Catalogs, schemas, permissions, lineage, external locations, and storage credentials Required 4 Years Right-sizing clusters and SQL warehouses and diagnose partitioning, shuffle, skew, and caching issues via Spark UI Required 4 Years Scheduling and managing dependencies with ADF Pipelines, Databricks Workflows (Jobs), and using Git folders (Repos) for source control Required 4 Years Designing MPP warehouse tables, including distribution (hash, round-robin, replicated), columnstore indexes, and partitioning Required 4 Years Querying Parquet, Delta, and CSV files in ADLS Gen2 using OPENROWSET, external tables, and views Required 4 Years Building star-schema facts, dimensions, stored procedures, and views, including SCD Type 1 and Type 2 Required 4 Years Developing with COPY INTO, PolyBase, and CETAS, and building parameterized Synapse/ADF pipelines (copy, data flows, triggers) Required 4 Years Workload management, resource classes, statistics, materialized views, result-set caching, and pool scaling/pausing Required 4 Years ADLS Gen2 folder/file-format design (Parquet/Delta), Entra ID access control, managed identities, and Key Vault Required 4 Years Git and CI/CD in Azure DevOps or GitHub, including branching, PRs, and deploying Synapse artifacts and Databricks Asset Bundles Required 4 Years Monitoring pipelines and workloads with Azure Monitor/Log Analytics and alerting, and troubleshooting failed jobs Required 4 Years Strong written and verbal communication skills Required Using Microsoft lakehouse patterns, including interoperability and migration paths between Synapse and Databricks Required 4 Years Databricks Certified Data Engineer Associate (Databricks Certified Data Engineer Professional a plus) Highly desired Microsoft Certified: Azure Data Engineer Associate (DP-203) if already held Highly desired Power BI connectivity to Synapse (Import vs. DirectQuery) and how model design affects dashboard performance Desired 4 Years About Us: InterSources Inc , is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18 years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. We make reasonable accommodations for clients and employees, and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud and Oracle partner company.
11/12/2026
Full time
Job Description Job Description Title: Data Scientist Location: Indianapolis, IN On- site/Remote/Hybrid: Hybrid Duration: 12 Months Interview Process: Web cam interview No of submissions: 1 No of Positions: 1 Local candidates only will be considered for this position. Note: Designs, builds, and maintains secure, scalable data solutions across Azure Databricks and Azure Synapse Analytics. Job Description: This role supports data integration, pipeline development, data modeling, governance, and documentation while collaborating with cross-functional teams to deliver high quality, reliable data products for the agency. Plays a key role in implementing the agency's data strategy by developing batch and streaming pipelines, optimizing data warehouse workloads, and enforcing data governance standards. The position assists with requirements gathering, solution reviews, and technical support, and works closely with data architects, scientists, analysts, and project managers to translate business needs into technical designs. This role supports operational processes, contributes to policy and procedure improvements, and may provide mentorship or supervision based on agency needs. Job Duties Assists with the data technology strategy, including resolving strategic data integration issues, such as data quality and stewardship, real-time, Event-based data integration, and crafting a universal vision for data integration Provides direction and oversight for the design and implementation of data solutions for integration and synthesis across multiple secure systems Assists with the definition, implementation, and continued adherence of new data management policies and design standards for data engineering Provides advice, training, and technical support for various projects Participates in project activities such as requirements gathering, solution reviews, and explaining technical complexities to non-technical personnel Work closely with the solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation Assists with extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods. Designs, builds, and maintains batch and streaming data pipelines in Azure Databricks using Py Spark, Spark SQL, and Delta Lake, following a medallion (bronze/silver/gold) lake house architecture Develops, loads, and tunes dimensional data models and SQL workloads in Azure Synapse Analytics (dedicated and serverless SQL pools) to support reporting and dashboard needs Orchestrates and monitors data workflows using Databricks Workflows/Jobs and Synapse or Azure Data Factory pipelines, including scheduling, alerting, and failure recovery Applies data governance and security controls (e.g., Unity Catalog permissions, role-based access, row- and column-level security, data masking) to protect sensitive health data (PHI/PII) in accordance with HIPAA and agency policy Assists with documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code. Assists in operations by conducting systems analysis; recommending changes in policies and procedures. The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time. Skills: Master's degree in data science, analytics, informatics, computer science, mathematics, engineering, or related field; Required 4 Years Bachelor's degree in a related field plus 2 years of relevant experience; or 4 years of hands-on experience in a similar data engineering role Required 4 Years Relevant certifications and coursework may substitute for formal education/experience requirements Required 4 Years Developing with Databricks notebooks in PySpark, Spark SQL, and R, including transformations, joins, aggregations, and window functions Required 4 Years ACID transactions, MERGE upserts, schema enforcement/evolution, time travel, and table maintenance (OPTIMIZE, Z-order, VACUUM) Required 4 Years Working with medallion (bronze/silver/gold) architecture and incremental ingestion via Auto Loader, Structured Streaming, or Lakeflow/DLT Required 4 Years Using Unity Catalog for Workspace Catalogs, schemas, permissions, lineage, external locations, and storage credentials Required 4 Years Right-sizing clusters and SQL warehouses and diagnose partitioning, shuffle, skew, and caching issues via Spark UI Required 4 Years Scheduling and managing dependencies with ADF Pipelines, Databricks Workflows (Jobs), and using Git folders (Repos) for source control Required 4 Years Designing MPP warehouse tables, including distribution (hash, round-robin, replicated), columnstore indexes, and partitioning Required 4 Years Querying Parquet, Delta, and CSV files in ADLS Gen2 using OPENROWSET, external tables, and views Required 4 Years Building star-schema facts, dimensions, stored procedures, and views, including SCD Type 1 and Type 2 Required 4 Years Developing with COPY INTO, PolyBase, and CETAS, and building parameterized Synapse/ADF pipelines (copy, data flows, triggers) Required 4 Years Workload management, resource classes, statistics, materialized views, result-set caching, and pool scaling/pausing Required 4 Years ADLS Gen2 folder/file-format design (Parquet/Delta), Entra ID access control, managed identities, and Key Vault Required 4 Years Git and CI/CD in Azure DevOps or GitHub, including branching, PRs, and deploying Synapse artifacts and Databricks Asset Bundles Required 4 Years Monitoring pipelines and workloads with Azure Monitor/Log Analytics and alerting, and troubleshooting failed jobs Required 4 Years Strong written and verbal communication skills Required Using Microsoft lakehouse patterns, including interoperability and migration paths between Synapse and Databricks Required 4 Years Databricks Certified Data Engineer Associate (Databricks Certified Data Engineer Professional a plus) Highly desired Microsoft Certified: Azure Data Engineer Associate (DP-203) if already held Highly desired Power BI connectivity to Synapse (Import vs. DirectQuery) and how model design affects dashboard performance Desired 4 Years About Us: InterSources Inc , is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18 years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. We make reasonable accommodations for clients and employees, and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud and Oracle partner company.
Job Description Job Description Description: Schumacher Homes is an award-winning company which strives to be the best on your lot custom homebuilder providing the ultimate customer experience. Quite simply, no one builds a better home or offers a better place to work. Apply today to join our outstanding team in our Canton, OH office (2715 Wise Ave NW, Canton, OH 44708). The Associate Data Scientist applies data science to marketing, reporting directly to the Head of Data Science. The role covers marketing activity and attribution, the customer journey from first contact to signed contract, and demographic and residential real estate data across the company's markets. The work informs decision-making across the organization, in partnership with marketing, sales, finance and executive leadership. Our Associate Data Scientist will : Support the Head of Data Science across key initiatives, including marketing analytics and attribution, customer journey mapping, statistical modeling, and demographic data and market analysis. Analyze data to identify trends, generate insights, and support data-driven business decisions. Collaborate on developing and improving analytical tools, models, and processes. AI Proficiency Integrate AI tools into daily workflows to improve efficiency, accelerate analysis, and support development. Use AI coding assistants to write, test, and refactor Python, SQL, and R. Leverage AI to quickly understand unfamiliar datasets, codebases, and technical documentation. Build lightweight, end-to-end solutions using AI, including applications, data pipelines, and API integrations. Validate AI-generated queries, data joins, calculations, and statistical results against source data to ensure accuracy before sharing findings. Benefits : Medical, dental, vision, life, critical illness and accident insurance 401K Plan + employer match Paid Time Off and Paid Holidays Homebuilding discount WORK HARD, HAVE FUN, PRODUCE RESULTS Requirements: Bachelor's degree in Statistics, Data Science, Mathematics, Economics, Computer Science, Geography/GIS, or a related quantitative field. 2+ years of hands-on data science experience, including graduate research, assistantships, or internships. Recent graduates are encouraged to apply. Strong foundation in statistical methods, including regression, classification, clustering, experimental design, and causal reasoning. Proficiency in Python and SQL; experience with R is a plus. Experience working with large, complex, and unstructured datasets. Demonstrated proficiency in using AI tools to support coding, data analysis, and solution development. Strong written and verbal communication skills, with the ability to explain technical findings to non-technical audiences. Preferred Requirements: Master's or other graduate degree in a quantitative field; PhD is a plus. Experience analyzing census data, public land records, or property data to inform business decisions. Familiarity with marketing analytics, including attribution, funnel analysis, cohort analysis, and propensity modeling. Experience working with CRM platforms such as Salesforce or HubSpot and cloud data tools such as Snowflake and dbt. Experience building data applications using Python frameworks such as Streamlit. You'll be at home with Schumacher Homes, the premier on-your-lot builder! Apply today. As part of our hiring process, we may use technology, including AI-assisted tools, to help review applications and support recruiting decisions. All hiring decisions are ultimately made by our recruiting team and hiring managers.
11/12/2026
Full time
Job Description Job Description Description: Schumacher Homes is an award-winning company which strives to be the best on your lot custom homebuilder providing the ultimate customer experience. Quite simply, no one builds a better home or offers a better place to work. Apply today to join our outstanding team in our Canton, OH office (2715 Wise Ave NW, Canton, OH 44708). The Associate Data Scientist applies data science to marketing, reporting directly to the Head of Data Science. The role covers marketing activity and attribution, the customer journey from first contact to signed contract, and demographic and residential real estate data across the company's markets. The work informs decision-making across the organization, in partnership with marketing, sales, finance and executive leadership. Our Associate Data Scientist will : Support the Head of Data Science across key initiatives, including marketing analytics and attribution, customer journey mapping, statistical modeling, and demographic data and market analysis. Analyze data to identify trends, generate insights, and support data-driven business decisions. Collaborate on developing and improving analytical tools, models, and processes. AI Proficiency Integrate AI tools into daily workflows to improve efficiency, accelerate analysis, and support development. Use AI coding assistants to write, test, and refactor Python, SQL, and R. Leverage AI to quickly understand unfamiliar datasets, codebases, and technical documentation. Build lightweight, end-to-end solutions using AI, including applications, data pipelines, and API integrations. Validate AI-generated queries, data joins, calculations, and statistical results against source data to ensure accuracy before sharing findings. Benefits : Medical, dental, vision, life, critical illness and accident insurance 401K Plan + employer match Paid Time Off and Paid Holidays Homebuilding discount WORK HARD, HAVE FUN, PRODUCE RESULTS Requirements: Bachelor's degree in Statistics, Data Science, Mathematics, Economics, Computer Science, Geography/GIS, or a related quantitative field. 2+ years of hands-on data science experience, including graduate research, assistantships, or internships. Recent graduates are encouraged to apply. Strong foundation in statistical methods, including regression, classification, clustering, experimental design, and causal reasoning. Proficiency in Python and SQL; experience with R is a plus. Experience working with large, complex, and unstructured datasets. Demonstrated proficiency in using AI tools to support coding, data analysis, and solution development. Strong written and verbal communication skills, with the ability to explain technical findings to non-technical audiences. Preferred Requirements: Master's or other graduate degree in a quantitative field; PhD is a plus. Experience analyzing census data, public land records, or property data to inform business decisions. Familiarity with marketing analytics, including attribution, funnel analysis, cohort analysis, and propensity modeling. Experience working with CRM platforms such as Salesforce or HubSpot and cloud data tools such as Snowflake and dbt. Experience building data applications using Python frameworks such as Streamlit. You'll be at home with Schumacher Homes, the premier on-your-lot builder! Apply today. As part of our hiring process, we may use technology, including AI-assisted tools, to help review applications and support recruiting decisions. All hiring decisions are ultimately made by our recruiting team and hiring managers.
Job Description Job Description Pay: $48.56 - $77.69 hourly, depending on experience Benefits: Medical, Dental, Vision, Paid Time Off, Paid Holidays, Employee Assistance Program, and other company-sponsored benefits Security Clearance: Ability to obtain and maintain a government security clearance if required Are you an experienced data scientist who enjoys solving complex problems, building advanced analytical models, and turning large datasets into actionable business intelligence? PEMCCO is seeking a Senior Data Scientist to lead data-driven initiatives that support critical government and mission-focused operations. This role is ideal for a highly skilled analytical professional who enjoys leveraging machine learning, predictive analytics, data visualization, and statistical modeling to influence strategic decisions and drive operational success. This opportunity is a strong fit for candidates with experience in data science, machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering. About PEMCCO PEMCCO supports complex technical and operational programs by providing skilled professionals who help customers achieve mission success. We offer opportunities to work on impactful projects, collaborate with experienced teams, and develop innovative solutions that support critical government operations. Job Overview As a Senior Data Scientist, you will apply advanced analytical, statistical, and computational methodologies to solve complex business and mission challenges. You will lead analytical initiatives, develop predictive and prescriptive models, and transform large, complex datasets into meaningful insights that support strategic planning, operational effectiveness, and informed decision-making. This position offers the opportunity to work with diverse data sources, advanced analytics tools, and cross-functional teams while helping organizations maximize the value of their data assets. What You'll Do Collect, analyze, interpret, and validate structured and unstructured data from multiple sources Develop and implement advanced statistical, predictive, and machine learning models Design and maintain data pipelines, analytical processes, and data workflows Create dashboards, reports, visualizations, and briefings that effectively communicate analytical findings Identify trends, patterns, anomalies, and opportunities for operational improvement Support data management, governance, and data quality initiatives Collaborate with engineers, analysts, and program personnel to define data requirements and develop analytical solutions Evaluate and recommend data science tools, technologies, and methodologies Present analytical findings, recommendations, and insights to leadership and stakeholders Provide technical guidance and mentorship to junior analysts and data scientists Document methodologies, assumptions, analytical processes, and findings Support mission, program, and organizational objectives through data-driven decision-making What You Bring Required Qualifications Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Information Systems, Operations Research, or a related quantitative field Ten (10) years of experience in data science, data analytics, statistical analysis, machine learning, predictive analytics, or a related field Strong knowledge of data science, statistical analysis, and predictive modeling techniques Knowledge of machine learning concepts and analytical methodologies Understanding of data management and data governance principles Ability to analyze and interpret large, complex datasets Ability to develop and communicate data-driven recommendations Strong analytical, critical-thinking, and problem-solving skills Strong written and verbal communication skills Ability to communicate effectively with both technical and non-technical audiences Proficiency with SQL and data analysis tools Ability to work independently and collaboratively within cross-functional teams Ability to obtain and maintain a government security clearance if required Preferred Experience Doctorate degree in Data Science, Statistics, Computer Science, Mathematics, Operations Research, or a related field Experience supporting Department of Defense or Federal Government programs Experience developing machine learning and predictive analytics solutions Experience with data visualization and business intelligence platforms Experience working within cloud-based data environments Experience leading analytical projects, research initiatives, or data-driven programs Why Join PEMCCO? Support critical government and customer missions through advanced analytics and data-driven decision-making Lead meaningful projects that influence operational and strategic outcomes Work with modern analytics, machine learning, and business intelligence technologies Collaborate with experienced technical professionals across multiple disciplines Solve complex problems using innovative analytical approaches Mentor and support the development of emerging data professionals Build a rewarding career in a collaborative and mission-focused environment Work Environment Professional office and technical work environments Work may be performed at company facilities, customer locations, or designated project sites as needed Regular use of computers, analytics platforms, visualization tools, and communication systems Frequent collaboration with technical teams, leadership, customers, and stakeholders Benefits Medical Insurance Dental Insurance Vision Insurance Paid Time Off Paid Holidays Employee Assistance Program Additional company-sponsored benefits Apply Today If you're an experienced data scientist looking to solve complex challenges, develop innovative analytical solutions, and help organizations make smarter, data-driven decisions, we encourage you to apply. Join PEMCCO and help transform data into actionable intelligence that drives mission success. Equal Opportunity Employer PEMCCO, Inc. is an equal opportunity employer. The Company does not discriminate on the basis of race, color, sex, sexual orientation, gender identity or expression, religion, national origin, age, disability, genetic information, military or veteran status, pregnancy, childbirth and related medical conditions, or any other characteristic protected by applicable federal, state, or local law.
11/12/2026
Full time
Job Description Job Description Pay: $48.56 - $77.69 hourly, depending on experience Benefits: Medical, Dental, Vision, Paid Time Off, Paid Holidays, Employee Assistance Program, and other company-sponsored benefits Security Clearance: Ability to obtain and maintain a government security clearance if required Are you an experienced data scientist who enjoys solving complex problems, building advanced analytical models, and turning large datasets into actionable business intelligence? PEMCCO is seeking a Senior Data Scientist to lead data-driven initiatives that support critical government and mission-focused operations. This role is ideal for a highly skilled analytical professional who enjoys leveraging machine learning, predictive analytics, data visualization, and statistical modeling to influence strategic decisions and drive operational success. This opportunity is a strong fit for candidates with experience in data science, machine learning, predictive analytics, business intelligence, statistical analysis, operations research, artificial intelligence, advanced analytics, or data engineering. About PEMCCO PEMCCO supports complex technical and operational programs by providing skilled professionals who help customers achieve mission success. We offer opportunities to work on impactful projects, collaborate with experienced teams, and develop innovative solutions that support critical government operations. Job Overview As a Senior Data Scientist, you will apply advanced analytical, statistical, and computational methodologies to solve complex business and mission challenges. You will lead analytical initiatives, develop predictive and prescriptive models, and transform large, complex datasets into meaningful insights that support strategic planning, operational effectiveness, and informed decision-making. This position offers the opportunity to work with diverse data sources, advanced analytics tools, and cross-functional teams while helping organizations maximize the value of their data assets. What You'll Do Collect, analyze, interpret, and validate structured and unstructured data from multiple sources Develop and implement advanced statistical, predictive, and machine learning models Design and maintain data pipelines, analytical processes, and data workflows Create dashboards, reports, visualizations, and briefings that effectively communicate analytical findings Identify trends, patterns, anomalies, and opportunities for operational improvement Support data management, governance, and data quality initiatives Collaborate with engineers, analysts, and program personnel to define data requirements and develop analytical solutions Evaluate and recommend data science tools, technologies, and methodologies Present analytical findings, recommendations, and insights to leadership and stakeholders Provide technical guidance and mentorship to junior analysts and data scientists Document methodologies, assumptions, analytical processes, and findings Support mission, program, and organizational objectives through data-driven decision-making What You Bring Required Qualifications Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Information Systems, Operations Research, or a related quantitative field Ten (10) years of experience in data science, data analytics, statistical analysis, machine learning, predictive analytics, or a related field Strong knowledge of data science, statistical analysis, and predictive modeling techniques Knowledge of machine learning concepts and analytical methodologies Understanding of data management and data governance principles Ability to analyze and interpret large, complex datasets Ability to develop and communicate data-driven recommendations Strong analytical, critical-thinking, and problem-solving skills Strong written and verbal communication skills Ability to communicate effectively with both technical and non-technical audiences Proficiency with SQL and data analysis tools Ability to work independently and collaboratively within cross-functional teams Ability to obtain and maintain a government security clearance if required Preferred Experience Doctorate degree in Data Science, Statistics, Computer Science, Mathematics, Operations Research, or a related field Experience supporting Department of Defense or Federal Government programs Experience developing machine learning and predictive analytics solutions Experience with data visualization and business intelligence platforms Experience working within cloud-based data environments Experience leading analytical projects, research initiatives, or data-driven programs Why Join PEMCCO? Support critical government and customer missions through advanced analytics and data-driven decision-making Lead meaningful projects that influence operational and strategic outcomes Work with modern analytics, machine learning, and business intelligence technologies Collaborate with experienced technical professionals across multiple disciplines Solve complex problems using innovative analytical approaches Mentor and support the development of emerging data professionals Build a rewarding career in a collaborative and mission-focused environment Work Environment Professional office and technical work environments Work may be performed at company facilities, customer locations, or designated project sites as needed Regular use of computers, analytics platforms, visualization tools, and communication systems Frequent collaboration with technical teams, leadership, customers, and stakeholders Benefits Medical Insurance Dental Insurance Vision Insurance Paid Time Off Paid Holidays Employee Assistance Program Additional company-sponsored benefits Apply Today If you're an experienced data scientist looking to solve complex challenges, develop innovative analytical solutions, and help organizations make smarter, data-driven decisions, we encourage you to apply. Join PEMCCO and help transform data into actionable intelligence that drives mission success. Equal Opportunity Employer PEMCCO, Inc. is an equal opportunity employer. The Company does not discriminate on the basis of race, color, sex, sexual orientation, gender identity or expression, religion, national origin, age, disability, genetic information, military or veteran status, pregnancy, childbirth and related medical conditions, or any other characteristic protected by applicable federal, state, or local law.
Job Description Job Description Data Scientist - Senior - Clearance Required: TS/SCI Dayton, Ohio - 100% onsite Position Overview The Senior Data Scientist applies advanced data engineering, computational programming, and statistical modeling capabilities to develop and deploy data-driven intelligence solutions. Operating on-site under minimal oversight within the National Air and Space Intelligence Center (NASIC), this role supports the Technology, Data, and Assessment Division (A9A) of the Future Capabilities & Assessment Directorate (NASIC/A9). The Senior Data Scientist focuses on the hands-on engineering of Intelligent Automation, Artificial Intelligence, and Machine Learning (IA/AI/ML) workflows against complex intelligence datasets. This role is responsible for converting advanced algorithmic models into scalable software factory outputs, creating intuitive analytical dashboards, and ensuring all mathematical solutions securely integrate within the NASIC Unified Cloud (NUC) infrastructure. Core Responsibilities Advanced AI/ML Coding & Modeling: Performs hands-on software script writing, data modeling, and code modifications to deploy specialized IA/AI/ML techniques, predictive algorithms, and statistical models. Analytical Transformation & Dashboarding: Translates intricate data structures and statistical outputs into actionable insights and dashboards, allowing non-technical mission partners and analysts to easily interpret mission-critical trends. Data Strategy & Infrastructure Integration: Implements data strategies, data flow structures, and cloud architecture requirements to integrate data processing pipelines into modern Zero Trust Architecture (ZTA) frameworks. Reporting & Documentation Support: Actively drafts technical content for the monthly Data Science & Analytics Progress Report, accurately measuring algorithm velocity, documentation compliance, and ingestion metrics. Technology Scouting & Prototyping: Assists senior technical leads in technology scouting and evaluations of emerging commercial cloud analytics capabilities. Runs pilot software scripts within non-production environments to determine technical viability. Cross-Functional Collaboration: Partners closely with software engineers, database administrators, and Group product owners to trace requirements and maintain standardized data governance rules across sprint cycles. Qualifications & Experience Required: Education & Experience: Bachelor's degree and 10 years of experience OR a Master's degree and 8 years of experience in Data Science, Computer Science, Statistics, Mathematics, or a related computational field. Technical Expertise: Extensive experience processing large-scale datasets, modifying algorithmic software code from technical specifications, and applying advanced analytical strategies with minimal oversight. Strong background using Python, R, and automated pipeline tools inside secure cloud infrastructure (such as DAF Cloudworks). Clearance & Compliance: Active TS/SCI security clearance for 100% on-site support at Wright-Patterson AFB. Demonstrated capability ensuring all code developments comply with strict DoD and Air Force IT standards. Desired: NASIC Experience: NASIC experience highly desired, not mandatory.
11/11/2026
Full time
Job Description Job Description Data Scientist - Senior - Clearance Required: TS/SCI Dayton, Ohio - 100% onsite Position Overview The Senior Data Scientist applies advanced data engineering, computational programming, and statistical modeling capabilities to develop and deploy data-driven intelligence solutions. Operating on-site under minimal oversight within the National Air and Space Intelligence Center (NASIC), this role supports the Technology, Data, and Assessment Division (A9A) of the Future Capabilities & Assessment Directorate (NASIC/A9). The Senior Data Scientist focuses on the hands-on engineering of Intelligent Automation, Artificial Intelligence, and Machine Learning (IA/AI/ML) workflows against complex intelligence datasets. This role is responsible for converting advanced algorithmic models into scalable software factory outputs, creating intuitive analytical dashboards, and ensuring all mathematical solutions securely integrate within the NASIC Unified Cloud (NUC) infrastructure. Core Responsibilities Advanced AI/ML Coding & Modeling: Performs hands-on software script writing, data modeling, and code modifications to deploy specialized IA/AI/ML techniques, predictive algorithms, and statistical models. Analytical Transformation & Dashboarding: Translates intricate data structures and statistical outputs into actionable insights and dashboards, allowing non-technical mission partners and analysts to easily interpret mission-critical trends. Data Strategy & Infrastructure Integration: Implements data strategies, data flow structures, and cloud architecture requirements to integrate data processing pipelines into modern Zero Trust Architecture (ZTA) frameworks. Reporting & Documentation Support: Actively drafts technical content for the monthly Data Science & Analytics Progress Report, accurately measuring algorithm velocity, documentation compliance, and ingestion metrics. Technology Scouting & Prototyping: Assists senior technical leads in technology scouting and evaluations of emerging commercial cloud analytics capabilities. Runs pilot software scripts within non-production environments to determine technical viability. Cross-Functional Collaboration: Partners closely with software engineers, database administrators, and Group product owners to trace requirements and maintain standardized data governance rules across sprint cycles. Qualifications & Experience Required: Education & Experience: Bachelor's degree and 10 years of experience OR a Master's degree and 8 years of experience in Data Science, Computer Science, Statistics, Mathematics, or a related computational field. Technical Expertise: Extensive experience processing large-scale datasets, modifying algorithmic software code from technical specifications, and applying advanced analytical strategies with minimal oversight. Strong background using Python, R, and automated pipeline tools inside secure cloud infrastructure (such as DAF Cloudworks). Clearance & Compliance: Active TS/SCI security clearance for 100% on-site support at Wright-Patterson AFB. Demonstrated capability ensuring all code developments comply with strict DoD and Air Force IT standards. Desired: NASIC Experience: NASIC experience highly desired, not mandatory.
Job Description Job Description Job Summary: We are seeking a talented Data Scientist to support AI exploration and implementation to enhance our business operations. The ideal candidate will be responsible for identifying potential use cases for AI and leading efforts to build solutions for these use cases by leveraging machine learning algorithms and AI tools. As part of our leading-edge advanced analytics team, you will help drive analytics across the organization to improve customer experience and optimize operations. This is an individual contributor role, providing autonomy in technical and analytical choices, including determining the appropriate modeling techniques and making design decisions. Thanks and Regards Sr. Talent Acquisition Specialist Pankaj Mishra +1
11/11/2026
Full time
Job Description Job Description Job Summary: We are seeking a talented Data Scientist to support AI exploration and implementation to enhance our business operations. The ideal candidate will be responsible for identifying potential use cases for AI and leading efforts to build solutions for these use cases by leveraging machine learning algorithms and AI tools. As part of our leading-edge advanced analytics team, you will help drive analytics across the organization to improve customer experience and optimize operations. This is an individual contributor role, providing autonomy in technical and analytical choices, including determining the appropriate modeling techniques and making design decisions. Thanks and Regards Sr. Talent Acquisition Specialist Pankaj Mishra +1
Starbucks is seeking a Senior/Lead Decision Scientist to shape data-driven strategy across its global coffeehouse business. In this role, you will partner with Retail, Supply Chain, and Marketing teams to design experiments, build predictive and optimization models, and translate complex data into clear, actionable insights. You will lead advanced analytics projects, define key metrics, and develop dashboards that guide pricing, assortment, and customer experience decisions. You will mentor other analysts, champion best practices in experimentation and data ethics, and help embed a culture of evidence-based decision making across Starbucks. Responsibilities Lead design and analysis of experiments to optimize pricing, promotions, and customer experience Build and deploy predictive and optimization models to support retail and supply chain decisions Develop dashboards and self-serve analytics tools for stakeholders Define and refine key performance metrics and measurement frameworks Translate complex analytical findings into clear, actionable business recommendations Partner with cross-functional teams in Marketing, Operations, and Supply Chain Mentor and guide junior analysts and decision scientists Promote best practices in data quality, experimentation, and analytics governance Required Skills Statistical modeling A/B testing and experimentation design Machine learning SQLPython or RData visualization (Tableau/Power BI) Predictive analytics Optimization and forecasting Big data tools (e.g., Spark, Hive) Business intelligence and dashboarding
11/01/2026
Full time
Starbucks is seeking a Senior/Lead Decision Scientist to shape data-driven strategy across its global coffeehouse business. In this role, you will partner with Retail, Supply Chain, and Marketing teams to design experiments, build predictive and optimization models, and translate complex data into clear, actionable insights. You will lead advanced analytics projects, define key metrics, and develop dashboards that guide pricing, assortment, and customer experience decisions. You will mentor other analysts, champion best practices in experimentation and data ethics, and help embed a culture of evidence-based decision making across Starbucks. Responsibilities Lead design and analysis of experiments to optimize pricing, promotions, and customer experience Build and deploy predictive and optimization models to support retail and supply chain decisions Develop dashboards and self-serve analytics tools for stakeholders Define and refine key performance metrics and measurement frameworks Translate complex analytical findings into clear, actionable business recommendations Partner with cross-functional teams in Marketing, Operations, and Supply Chain Mentor and guide junior analysts and decision scientists Promote best practices in data quality, experimentation, and analytics governance Required Skills Statistical modeling A/B testing and experimentation design Machine learning SQLPython or RData visualization (Tableau/Power BI) Predictive analytics Optimization and forecasting Big data tools (e.g., Spark, Hive) Business intelligence and dashboarding
Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed strategy across our global coffeehouse business. In this role, you'll translate complex data into clear insights that improve customer experience, store operations, and digital engagement. You'll design experiments, develop predictive and prescriptive models, and build dashboards that guide leaders in merchandising, pricing, and loyalty initiatives. Partnering with cross-functional teams, you'll define metrics, validate hypotheses, and tell compelling data stories. You'll mentor junior analysts, champion data quality and governance, and help shape a culture of evidence-based, ethical decision-making at scale. Responsibilities Lead design and execution of experiments and A/B tests to optimize customer experience, pricing, and promotions. Develop predictive and prescriptive models to support demand forecasting, personalization, and store operations. Translate complex data into clear, actionable insights and narratives for business and executive stakeholders. Build and maintain dashboards, reports, and self-service analytics tools for cross-functional teams. Define and refine key performance metrics for digital, retail, and loyalty initiatives. Collaborate with product, marketing, operations, and finance to identify and prioritize analytics opportunities. Ensure data quality, governance, and proper use of data across projects. Mentor and guide junior analysts and data scientists on best practices and frameworks. Evaluate and implement new analytical methods, tools, and data sources to enhance decision-making. Champion a culture of ethical, evidence-based decision-making aligned with Starbucks values. Required Skills Data science Statistical analysis A/B testing and experimentation Predictive modeling Machine learning SQLPython or RData visualization (Tableau/Power BI) Data storytelling and communication Business intelligence and reporting
11/01/2026
Full time
Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed strategy across our global coffeehouse business. In this role, you'll translate complex data into clear insights that improve customer experience, store operations, and digital engagement. You'll design experiments, develop predictive and prescriptive models, and build dashboards that guide leaders in merchandising, pricing, and loyalty initiatives. Partnering with cross-functional teams, you'll define metrics, validate hypotheses, and tell compelling data stories. You'll mentor junior analysts, champion data quality and governance, and help shape a culture of evidence-based, ethical decision-making at scale. Responsibilities Lead design and execution of experiments and A/B tests to optimize customer experience, pricing, and promotions. Develop predictive and prescriptive models to support demand forecasting, personalization, and store operations. Translate complex data into clear, actionable insights and narratives for business and executive stakeholders. Build and maintain dashboards, reports, and self-service analytics tools for cross-functional teams. Define and refine key performance metrics for digital, retail, and loyalty initiatives. Collaborate with product, marketing, operations, and finance to identify and prioritize analytics opportunities. Ensure data quality, governance, and proper use of data across projects. Mentor and guide junior analysts and data scientists on best practices and frameworks. Evaluate and implement new analytical methods, tools, and data sources to enhance decision-making. Champion a culture of ethical, evidence-based decision-making aligned with Starbucks values. Required Skills Data science Statistical analysis A/B testing and experimentation Predictive modeling Machine learning SQLPython or RData visualization (Tableau/Power BI) Data storytelling and communication Business intelligence and reporting
Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed strategy across our global coffee and food operations. In this role, you will use advanced analytics, experimentation, and predictive modeling to optimize pricing, product mix, and store performance. You'll partner with operations, marketing, and digital teams to translate complex data into clear insights, dashboards, and recommendations that enhance guest experience and profitability. You will mentor junior analysts, promote data literacy, and help shape a culture of ethical, responsible data use aligned with Starbucks' community and sustainability values. Responsibilities Develop and deploy advanced analytics, forecasting, and predictive models to inform pricing, product, and operational decisions. Design and analyze A/B tests and experiments to evaluate initiatives across stores and digital channels. Build clear dashboards and self-service BI tools for stakeholders in operations, marketing, and digital. Translate complex data into actionable insights and strategic recommendations for senior leaders. Partner with cross-functional teams to define metrics, KPIs, and measurement frameworks. Mentor and guide junior analysts and data scientists, promoting best practices in analytics and coding. Ensure data quality, governance, and ethical use of customer and operational data. Communicate findings through compelling presentations, visualizations, and written summaries. Collaborate with technology teams to improve data pipelines, tooling, and analytics platforms. Support long-term analytics roadmap aligned with Starbucks' sustainability, community, and growth goals. Required Skills SQLPython or RStatistical modeling Predictive analytics A/B testing and experimentation Machine learning fundamentals Data visualization (e.g., Tableau, Power BI) Big data tools (e.g., Spark, Hive) Dashboarding and reporting Business intelligence in retail/hospitality Data storytelling Forecasting and time-series analysis
11/01/2026
Full time
Starbucks is seeking a Senior/Lead Decision Scientist to drive data-informed strategy across our global coffee and food operations. In this role, you will use advanced analytics, experimentation, and predictive modeling to optimize pricing, product mix, and store performance. You'll partner with operations, marketing, and digital teams to translate complex data into clear insights, dashboards, and recommendations that enhance guest experience and profitability. You will mentor junior analysts, promote data literacy, and help shape a culture of ethical, responsible data use aligned with Starbucks' community and sustainability values. Responsibilities Develop and deploy advanced analytics, forecasting, and predictive models to inform pricing, product, and operational decisions. Design and analyze A/B tests and experiments to evaluate initiatives across stores and digital channels. Build clear dashboards and self-service BI tools for stakeholders in operations, marketing, and digital. Translate complex data into actionable insights and strategic recommendations for senior leaders. Partner with cross-functional teams to define metrics, KPIs, and measurement frameworks. Mentor and guide junior analysts and data scientists, promoting best practices in analytics and coding. Ensure data quality, governance, and ethical use of customer and operational data. Communicate findings through compelling presentations, visualizations, and written summaries. Collaborate with technology teams to improve data pipelines, tooling, and analytics platforms. Support long-term analytics roadmap aligned with Starbucks' sustainability, community, and growth goals. Required Skills SQLPython or RStatistical modeling Predictive analytics A/B testing and experimentation Machine learning fundamentals Data visualization (e.g., Tableau, Power BI) Big data tools (e.g., Spark, Hive) Dashboarding and reporting Business intelligence in retail/hospitality Data storytelling Forecasting and time-series analysis
Avanos Medical seeks an Associate Director IT Global Data Analytics, Innovation & Digital Experimentation to lead data strategy across our global medtech business. In this role, you will define and deliver advanced analytics, AI/ML, and data engineering solutions that optimize clinical, commercial, and operational decisions. You will own the data experimentation roadmap, partner with business and clinical leaders to identify high value use cases, and oversee end to end project delivery. Responsibilities include managing a technical team, governing data platforms, ensuring data quality, and championing innovation while maintaining security, privacy, and regulatory compliance in a patient-focused environment. Responsibilities Lead global data analytics and digital experimentation strategy for Avanos Medical Identify, prioritize, and deliver high-value analytics and AI/ML use cases across business functions Oversee design and implementation of data platforms, pipelines, and governance frameworks Manage and mentor a technical team of data engineers, scientists, and analysts Ensure data quality, integrity, security, and regulatory compliance in a healthcare context Partner with clinical, commercial, and operations leaders to translate needs into technical solutions Drive experimentation frameworks (A/B testing, pilots, POCs) to validate data-driven initiatives Report performance, insights, and ROI of analytics programs to senior leadership Collaborate with IT and cybersecurity to maintain resilient, scalable data infrastructure Champion a culture of innovation, continuous improvement, and patient-focused decision-making Required Skills Data analytics strategy Data engineering (ETL/ELT, data pipelines) Cloud data platforms (AWS, Azure, or GCP) SQL and relational databases Python or R for analytics and data science Machine learning and AI concepts BI and data visualization tools (Tableau, Power BI, etc.) A/B testing and experimentation frameworks Data governance, security, and privacy (including healthcare context) Project and stakeholder management Statistical analysis and modeling Data architecture and warehousing
11/01/2026
Full time
Avanos Medical seeks an Associate Director IT Global Data Analytics, Innovation & Digital Experimentation to lead data strategy across our global medtech business. In this role, you will define and deliver advanced analytics, AI/ML, and data engineering solutions that optimize clinical, commercial, and operational decisions. You will own the data experimentation roadmap, partner with business and clinical leaders to identify high value use cases, and oversee end to end project delivery. Responsibilities include managing a technical team, governing data platforms, ensuring data quality, and championing innovation while maintaining security, privacy, and regulatory compliance in a patient-focused environment. Responsibilities Lead global data analytics and digital experimentation strategy for Avanos Medical Identify, prioritize, and deliver high-value analytics and AI/ML use cases across business functions Oversee design and implementation of data platforms, pipelines, and governance frameworks Manage and mentor a technical team of data engineers, scientists, and analysts Ensure data quality, integrity, security, and regulatory compliance in a healthcare context Partner with clinical, commercial, and operations leaders to translate needs into technical solutions Drive experimentation frameworks (A/B testing, pilots, POCs) to validate data-driven initiatives Report performance, insights, and ROI of analytics programs to senior leadership Collaborate with IT and cybersecurity to maintain resilient, scalable data infrastructure Champion a culture of innovation, continuous improvement, and patient-focused decision-making Required Skills Data analytics strategy Data engineering (ETL/ELT, data pipelines) Cloud data platforms (AWS, Azure, or GCP) SQL and relational databases Python or R for analytics and data science Machine learning and AI concepts BI and data visualization tools (Tableau, Power BI, etc.) A/B testing and experimentation frameworks Data governance, security, and privacy (including healthcare context) Project and stakeholder management Statistical analysis and modeling Data architecture and warehousing
Lead the Pricing Analytics team in optimizing vehicle pricing and purchasing decisions through data science and analysis. Partner with business leaders to set goals, monitor model performance, respond to market changes, resolve system issues, and present recommendations that drive business results. Responsibilities Develop associates and promote engagement across the Pricing team. Partner with business leaders to define KPIs, measurable goals, and management systems. Monitor pricing models and identify when strategy changes are needed to reflect market conditions. Create systems to assess model performance, including alerts and regular review meetings. Respond to and resolve pricing system issues. Lead data scientists in using models to create business value and present recommendations to stakeholders. Required Skills Large-scale data analysis SQLPython Data science modeling Pricing analytics Model performance monitoring KPI development Strategic analysis Market analysis Analytical evaluation
10/31/2026
Full time
Lead the Pricing Analytics team in optimizing vehicle pricing and purchasing decisions through data science and analysis. Partner with business leaders to set goals, monitor model performance, respond to market changes, resolve system issues, and present recommendations that drive business results. Responsibilities Develop associates and promote engagement across the Pricing team. Partner with business leaders to define KPIs, measurable goals, and management systems. Monitor pricing models and identify when strategy changes are needed to reflect market conditions. Create systems to assess model performance, including alerts and regular review meetings. Respond to and resolve pricing system issues. Lead data scientists in using models to create business value and present recommendations to stakeholders. Required Skills Large-scale data analysis SQLPython Data science modeling Pricing analytics Model performance monitoring KPI development Strategic analysis Market analysis Analytical evaluation
HCA Healthcare is seeking a Senior Data Usability Analyst to join our Data Science & AI team in Healthcare & Medical Services. In this role, you will translate complex clinical and operational data into intuitive, trustworthy, and actionable information products that empower caregivers and leaders. You will partner with data engineers, data scientists, and clinicians to profile data, define business rules, improve data quality, and optimize data models and dashboards for usability and adoption. You will champion data standards, documentation, and governance while mentoring analysts and supporting strategic, patient-centered analytics initiatives. Responsibilities Collaborate with clinicians, operations, and data teams to translate business needs into usable data products Profile and validate clinical and operational data to ensure accuracy, completeness, and consistency Define and maintain business rules, data definitions, and documentation to improve data understanding Design and optimize dashboards, reports, and semantic layers for usability and adoption Identify and drive data quality improvements and standardization across sources and domains Partner with data engineers and data scientists to shape data models and pipelines for analytics use Champion data governance, metadata, and best practices in data usability across the organization Mentor junior analysts and contribute to analytics standards and reusable assets Support strategic analytics and AI initiatives focused on patient-centered care and operational excellence Communicate insights, limitations, and data usability considerations to technical and non-technical stakeholders Required Skills SQLPython or RData visualization (Tableau, Power BI, or similar) Data modeling Data quality and profiling Healthcare data standards (e.g., HL7, FHIR, ICD, CPT) ETL/ELT concepts Statistics and exploratory data analysis Requirements gathering and stakeholder management Data documentation and governance
10/02/2026
Full time
HCA Healthcare is seeking a Senior Data Usability Analyst to join our Data Science & AI team in Healthcare & Medical Services. In this role, you will translate complex clinical and operational data into intuitive, trustworthy, and actionable information products that empower caregivers and leaders. You will partner with data engineers, data scientists, and clinicians to profile data, define business rules, improve data quality, and optimize data models and dashboards for usability and adoption. You will champion data standards, documentation, and governance while mentoring analysts and supporting strategic, patient-centered analytics initiatives. Responsibilities Collaborate with clinicians, operations, and data teams to translate business needs into usable data products Profile and validate clinical and operational data to ensure accuracy, completeness, and consistency Define and maintain business rules, data definitions, and documentation to improve data understanding Design and optimize dashboards, reports, and semantic layers for usability and adoption Identify and drive data quality improvements and standardization across sources and domains Partner with data engineers and data scientists to shape data models and pipelines for analytics use Champion data governance, metadata, and best practices in data usability across the organization Mentor junior analysts and contribute to analytics standards and reusable assets Support strategic analytics and AI initiatives focused on patient-centered care and operational excellence Communicate insights, limitations, and data usability considerations to technical and non-technical stakeholders Required Skills SQLPython or RData visualization (Tableau, Power BI, or similar) Data modeling Data quality and profiling Healthcare data standards (e.g., HL7, FHIR, ICD, CPT) ETL/ELT concepts Statistics and exploratory data analysis Requirements gathering and stakeholder management Data documentation and governance
