212 jobs found

Job Description Straive is a global leader in enterprise-grade Data Analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit. Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, Energy, retail and logistics, helping them build robust data analytics and AI capabilities. With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective. Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT. Website: LinkedIn Job Tittle- Lead Data Engineer Location - Newark,NJ (Hybrid) Employment Type- Fulltime Job Overview We are seeking a Lead Data Engineer to help us architect and implement modern data solutions using the Microsoft Fabric ecosystem. You will be responsible for streamlining data workflows, implementing OneLake architectures, and enabling seamless data integration and analytics across the enterprise. Key Responsibilities Unified Storage: Implement and optimize OneLake structures to create a seamless, single source of truth for diverse data assets. Data Engineering: Develop scalable ETL/ELT workflows using Synapse Data Engineering and Data Factory . Performance Tuning: Optimize Fabric capacity and compute usage to ensure cost-efficient, high-speed data processing. Pipelines & Ingestion: Build metadata-driven pipelines using Fabric Pipelines to ingest and process JSON, ZIP, XLSX, and CSV files effectively. Implement pattern-based incremental refreshes and SCD Type 1 & Type 2 logic . Architecture & Performance: Design scalable Medallion Architectures (Bronze/Silver/Gold) across Fabric Lakehouses and Data Warehouses. Apply PySpark optimization (broadcast joins, partition strategy, data skew, memory tuning), SQL query tuning , and Delta Lake features (V-Order, Liquid Clustering, Time Travel). Automation & Scripting: Write advanced Python and leverage Fabric Utils (notebookutils/mssparkutils) alongside Fabric REST APIs to automate inter-notebook workflows, dynamic parameterization, and workspace management. Governance & Data Quality: Build automated Data Quality practices ( schema enforcement, dynamic validation, reconciliation logging ). Implement Fabric Governance frameworks, Microsoft Purview integration, data lineage, and security controls (RLS/CLS) . Managing staged environments Dev. UAT and PROD with CICD Principals. DevOps, Capacity & Analytics: Manage Fabric DevOps/ALM (Git integration and deployment pipelines) and monitor compute using the Fabric Capacity Metrics App to optimize CUs. Support basic Power BI semantic modeling (Direct Lake mode) and real-time ingestion via Eventhouse/KQL. Collaboration: Partner with Data Scientists and BI teams to deliver structured, high-fidelity datasets for GenAI and advanced analytics. Required Skills and Qualifications Total Experience of 10-15 years Ecosystem Mastery: 3-5 years in Azure Data Engineering with focused experience in Microsoft Fabric , Synapse Analytics, and OneLake. Languages: Advanced proficiency in Python (PySpark) and Complex SQL . Frameworks: Hands-on experience with Delta Lake formats, Medallion Architecture, and Spark-based processing. Integrations : Working knowledge of Power BI (Direct Lake connectivity), Git-based CI/CD, and Fabric Capacity Management. Orchestration: Proven ability to build and monitor pipelines in Data Factory and manage CI/CD via Azure DevOps . Data Modeling: Good understanding of Star/Snowflake schemas and semantic modeling. Certifications (Preferred): DP-600 (Fabric Analytics Engi

Job Description Title : AI Architect Location : Nutley, NJ or NY Duration : 12+ Months Rate : OPEN Visa Status : Any In-Person Interview : No Relevant Experience (in Yrs.) : 5+ Detailed Job Description: We are seeking an experienced AI Architect to design, architect, and lead the implementation of enterprise-scale Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and Agentic AI solutions. The ideal candidate will have strong expertise in AI architecture, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent systems, cloud AI platforms, and enterprise application integration. The AI Architect will collaborate with business stakeholders, data scientists, ML engineers, software developers, security teams, and enterprise architects to translate business requirements into scalable, secure, reliable, and cost-effective AI solutions. Key Responsibilities Define enterprise AI architecture, reference architectures, technical standards, and implementation roadmaps. Design and implement Generative AI solutions using LLMs, prompt engineering, RAG, embeddings, vector databases, and semantic search. Architect AI agents and multi-agent workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent technologies. Evaluate and integrate foundation models from OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, and other AI platforms. Design scalable AI services and integrations using Python, REST APIs, microservices, and event-driven architectures. Build enterprise knowledge retrieval solutions using vector databases and enterprise data sources. Define MLOps and LLMOps practices covering model deployment, CI/CD, automated evaluation, monitoring, versioning, and lifecycle management. Establish AI security and governance standards, including responsible AI, data privacy, access control, model risk management, and regulatory compliance. Optimize AI solutions for performance, latency, scalability, token consumption, and cloud operating costs. Collaborate with business and technical teams to identify AI use cases, conduct proof of concepts, and transition successful solutions into production. Establish evaluation frameworks to measure model accuracy, hallucination rates, relevance, reliability, and business outcomes. Mentor AI/ML engineers and provide technical leadership throughout solution design, development, deployment, and operations. Thanks, and Regards Prasanna Kumar Senior Talent Acquisition Lead Ascii Group LLC Email: Phone: +1 / Ext 112

Job Description Job Description Skill: IT Security Engineer Must Have Technical/Functional Skills: Objective of Role: This role is responsible for leading complex efforts to develop and deliver complex data solutions to accomplish cyber security technology and business goals. Key responsibilities include code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytics data systems. They guide stakeholders, Product Owners, and Software Engineers through the design and execution processes. These individuals provide technical thought leadership based on the significant experience they have built through implementing multiple complex data solutions, and their knowledge of the interaction across multiple data flows and systems. The candidate is expected to have knowledge in the cyber security domain. Primary Level of Engagement: Works as a team member under supervision from a more senior domain expert. Primary Interactions: Business partners and stakeholders Product Owner Scrum Master Development Team Feature Lead Architect Domain Community of Practice Data Scientists Required Skills: Minimum 8+ years hands-on data engineer/Software development exp (at least 5 years of onsite exp) Experience with big data processing systems like Hadoop, Cloudera etc Experience with one or more of the programming languages like Python (Modular python programming exp) Strong SQL and UNIX experience Hadoop - Hive, Spark , Pispark Proven experience with technology leadership guiding junior engineers towards project completion and deliveries Experience with cyber security domain, preferably vulnerability data management 8+ years of hands-on data engineer/software development Ability to switch from technology leadership to hands on coding when required Experience with big data processing systems like Hadoop, Cloudera, etc. Experience with Cloud ServicesTechnologies like AWS, Azure, etc. Experience with one or more of the programming languages like Python Strong SQL and UNIX experience Experience with data stores like HIVE, HBase Elastic Experience with code versioning systems like Bitbucket Experience with CICD pipelines Good knowledge on Data engineering principles and SDLC process Ability to detect early and articulate with business partners the challenges and gaps in requirements Experience: Minimum 8+ years Roles & Responsibilities: Ensure that the design and engineering approach for complex data solutions is consistent across multiple flows and systems. Conduct research, designs prototyping and other exploration activities such as evaluating new toolsets. Utilize multiple architectural components in design and development of client requirements. Maintain, improve, clean and manipulate data for the operational and/or analytics data systems. Constantly looking for better ways of solving technical problems and designing the solution without being afraid of challenging the status quo. Collaborate with development teams to understand data requirements and ensure the data architecture is feasible to implement and subsequently implemented accurately. Assemble large, complex data sets that meet functional/ non-functional requirements. Build processes supporting data transformation, data structures, metadata, data quality controls, dependency and workload management. Define and build data pipelines that enable faster, better, data-informed decision-making within the business. Contribute to existing test suites (integration, regression, performance), analyze test reports, identify any test issues/errors, and triage the underlying cause. Document and communicate required information for deployment, maintenance, support, and business functionality. Adhere to team delivery/release process and cadence pertaining to code deployment and release Identify gaps in data management standards adherence and work with appropriate partners to develop plans to close gaps. Lead concept and experimentation testing, and synthesize the results to validate and improve analytical solution. Define key performance indicators and internal controls. Mentor more junior Data Engineers and coach team members in the delivery/release CI-CD events - (for example, branching timelines, pull requests, issue triage, merge/conflict resolution, and release notes).

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 At Gilead our pursuit of a healthier world for all people has yielded a cure for hepatitis C, revolutionary improvements in HIV treatment and prevention as well as advancements in therapies for viral and inflammatory diseases and certain cancers. We set and achieve bold ambitions in our fight against the world's most devastating diseases, united in our commitment to confronting the largest public health challenges of our day and improving the lives of patients for generations to come. As a Manager, U.S. Medical Affairs, Liver Strategy at Gilead you will report to the Executive Director, Head USMA Liver Group and will support the development, management, and execution of U.S. Medical Affairs liver strategy in PBC, HDV, and across the portfolio. The Manager will play a critical role in translating USMA Liver strategy into high-quality, scientifically rigorous, compliant, and field-ready medical materials, digital resources, conference/symposium deliverables, and cross-functional planning initiatives. This individual will support across-portfolio content creation and lifecycle management through Medical Review Committee (MRC), help manage digital and AI-enabled medical platforms, and contribute to congress, conference, and symposium strategy and execution. The ideal candidate is scientifically minded, creative, highly organized, and able to manage multiple priorities in a fast-paced, matrixed environment. This person should have strong Medical Affairs content experience, outstanding written and verbal communication skills, and the ability to work collaboratively across USMA Liver, Field Medical, Global Medical Affairs (GMA), Medical Information, Legal, Compliance, Commercial, Training, Operations, and external agency partners. This role is based in Foster City, California. Essential Duties and Responsibilities: Support the development and execution of USMA Liver strategy across key liver disease priorities, including PBC, HDV, other viral hepatitis, and emerging portfolio needs. Work in close partnership with more senior team members on USMA Liver strategy and translation of strategy to content Serve as a key content and scientific contributor for USMA Liver, helping translate complex clinical, real-world, guideline, and congress data into clear, balanced, compliant medical communications. Lead or support creation, revision, review, approval, deployment, and lifecycle management of USMA Liver medical materials, including scientific slide decks, field-facing resources, FAQs, training materials, advisory board content, congress summaries, symposia materials, and digital medical education assets. Manage content through the U.S. Medical Review Committee (MRC) process, including preparation of submissions, coordination of reviewer feedback, version control, incorporation of comments, and driving materials to timely approval. Ensure medical content is scientifically accurate, balanced, strategically aligned, appropriately referenced, compliant, and consistent with USMA Liver priorities and the needs of field-based Medical Scientists and other stakeholders. Support pull-through and appropriate adaptation of Global Medical Affairs content for U.S. use, while helping develop original U.S.-specific liver medical materials when needed. Partner closely with Field Medical leadership and Medical Scientists to ensure resources are field-ready, practical, impactful, and aligned to priority HCP and KOL audiences. Lead and support digital medical content and platform initiatives for USMA Liver, including digital journeys, medical websites, email campaigns, Veeva CLM/MedDocs or related platforms, and other non-personal engagement channels. Contribute to USMA Liver digital and AI-enabled innovation efforts, including identification, evaluation, and implementation of compliant use cases that may improve medical content quality, insight generation, HCP education, or operational efficiency. Support conference, congress, and symposium strategy and execution, including planning, internal preparation, content development, session coverage strategy, insight capture, post-congress summaries, encore planning, and cross-functional coordination. Work collaboratively with USMA Liver colleagues, GMA, Medical Information, Medical Communications, Commercial, Clinical Development, Legal, Regulatory, Compliance/Business Conduct, Training, Operations, and agency partners to ensure aligned and compliant execution. Manages external vendor partnerships supporting USMA initiatives, including scope development, budget oversight, contract execution, timeline management and delivery of high-quality projects that advance strategic objectives. Help establish and maintain strong content management practices, including clear intake processes, workback plans, editorial standards, templates, reference standards, version control, and asset inventory management. Monitor emerging data, publications, guidelines, congress updates, and external scientific trends to identify implications for USMA Liver content, strategy, and stakeholder education. Support U.S. Medical Affairs publication strategy and execution, including coordination of abstracts, posters, presentations, manuscripts, publication planning activities, and dissemination of scientific data. Lead or support planning, development, review, approval, and execution of congress encore presentations, including cross-functional coordination, content adaptation, vendor management, and dissemination strategy consistent with Medical Affairs objectives and compliance requirements. Support scientific narrative development and continuous refinement of liver medical messages, ensuring clarity, consistency, and alignment across materials and channels. Help coordinate training, launch, distribution, and adoption of approved medical resources across field medical, digital platforms, and relevant cross-functional teams. Manage multiple projects, vendors, timelines, and stakeholders simultaneously with strong prioritization, attention to detail, and proactive risk escalation. Uphold Gilead core values and ensure all activities comply with applicable laws, regulations, and internal policies. Requirements: Education: Bachelors (in life sciences, health-related, or scientific area) and 6+ years of relevant experience required OR Masters (in life sciences, health-related, or scientific area) and 4+ years of relevant experience required OR PhD (in life sciences, health-related, or scientific area) and 0+ years of relevant experience required Experience: Scientific, clinical, Medical Affairs, Medical Communications, Clinical Development, or related biopharmaceutical experience Pharmaceutical or biotechnology industry experience, particularly within Medical Affairs, Medical Communications, Clinical Development, Medical Information, or related functions Experience developing, revising, reviewing, and managing Medical Affairs content, including slide decks, scientific narratives, educational resources, infographics, videos, digital assets, or congress materials Experience with digital medical content, digital engagement platforms, medical websites, CLM/MedDocs, Veeva or related systems, AI-enabled tools, or innovative HCP education channels Strong scientific acumen and ability to interpret clinical data, publications, guidelines, real-world evidence, and complex scientific issues. Excellent written, verbal, visual, and interpersonal communication skills; able to translate complex science into clear, concise, balanced, and actionable materials for internal and external scientific audiences. Demonstrated creativity and problem-solving ability, with capacity to generate practical solutions in a dynamic and evolving Medical Affairs environment. Strong project management skills, including ability to manage multiple workstreams, vendors, timelines, review cycles, and deliverables simultaneously. Track record of effectively sharing work across multiple complex projects Highly organized, detail-oriented, and able to anticipate needs, prioritize workload, manage ambiguity . click apply for full job details

Job Description Role: Data Scientist Location: Indianapolis, IN (46204) - Hybrid Type of Contract: W2 Contract Duration: 12 Months Required Experience: 04+ Years Job Description: Seeking a Data Scientist/Data Engineer with hands-on expertise in Azure Databricks, PySpark, Spark SQL, Delta Lake, and Azure Synapse Analytics to develop and optimize enterprise data pipelines, lakehouse solutions, and data warehouse workloads. The candidate will support data integration, governance, security, and analytics for sensitive agency data. Required Skills: • Strong hands-on experience with Azure Databricks, PySpark, Spark SQL, and Delta Lake. • Experience with medallion lakehouse architecture, batch/streaming pipelines, and incremental ingestion. • Strong Azure Synapse Analytics, SQL, dimensional modeling, and data warehouse optimization skills. • Experience with Azure Data Factory, Databricks Workflows, and Unity Catalog. • Knowledge of ADLS Gen2, Microsoft Entra ID, Key Vault, data governance, and security controls. • Experience with Git, CI/CD, Azure DevOps/GitHub, monitoring, and troubleshooting. • Strong communication and technical documentation skills. Preferred: • Databricks Certified Data Engineer Associate/Professional. • Microsoft Azure Data Engineer certification (DP-203). • Experience with Power BI connectivity and performance optimization. • Experience protecting sensitive data under HIPAA and agency security policies.

Job Description Senior Software Engineer, Scientific Instrumentation Location: Santa Barbara, CA (Hybrid) About the Role Oxford Instruments Asylum Research is seeking a Senior Software Engineer to help develop the next generation of software for our Atomic Force Microscopy (AFM) systems. This role focuses on scientific instrumentation, hardware integration, automation, and instrument control . You will work closely with scientists, product managers, and engineering teams to develop software that enables advanced nanoscale measurement, automation, and data acquisition capabilities. The ideal candidate has strong C# development expertise and experience building software for complex hardware-based systems such as scientific instruments, semiconductor equipment, robotics, industrial automation, medical devices, or test and measurement platforms. Responsibilities Design, develop, test, and maintain software for AFM systems (Atomic Force Microscopy Systems.) Contribute to the ongoing development of our Ergo software platform. Develop software for instrument control, automation, and data acquisition. Design and implement system integration and remote operation. Collaborate with scientists and engineers to develop new instrument capabilities and measurement workflows. Troubleshoot complex software, hardware, and system-level issues. Participate in software design and code reviews Mentor junior engineers and promote engineering best practices. Required Qualifications Bachelor's degree in Computer Engineering, Electrical Engineering, Physics, or a related technical field 8+ years of professional software development experience. Modern C++ and C++/CLI experience Experience with Protocol Buffers / gRPC Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration skills. Preferred Qualifications Experience with scientific instrumentation, microscopy, or imaging systems. Experience with motion control, sensors, hardware integration, or data acquisition systems. Experience with designing and interface specifications. Compensation $150,000 - $180,000 annually , depending on qualifications, skills, and experience.

GovCIO LLC is seeking a Data Scientist to support federal digital modernization initiatives. You will design and deploy data pipelines, build predictive and prescriptive models, and turn complex federal datasets into actionable insights. Responsibilities include collaborating with engineers and product teams, applying statistical and machine learning techniques, developing dashboards and data visualizations, and ensuring data quality and governance. You'll work in a mission-driven, agile environment using modern cloud and analytics tools to improve government services and mission outcomes at national scale. Responsibilities Design, build, and maintain data pipelines and ETL workflows for federal datasets Develop and validate statistical and machine learning models to support mission outcomes Create dashboards and data visualizations to communicate insights to stakeholders Collaborate with engineers, product owners, and mission experts in an agile environment Ensure data quality, governance, and documentation of models and analytics solutions Evaluate new tools, techniques, and datasets to advance analytics capabilities Required Skills Python SQLMachine learning Statistical analysis Data visualization (Tableau/Power BI) Cloud platforms (AWS/Azure/GCP) ETL/data pipelines Big data tools (Spark/Hadoop) Version control (Git) Dashboard development

Lead analytics initiatives for the Digital Experience Insights team, developing predictive and statistical models, conducting quantitative research, and creating executive visualizations. Partner with Product, Engineering, and Business leaders to turn complex data findings into actionable strategy. This role is based primarily in Everpure's Santa Clara office. Responsibilities Develop machine-learning models for prediction, time-series forecasting, clustering, churn reduction, anomaly detection, and recommendations. Apply advanced statistical and computational methods to large datasets. Conduct quantitative research and experimental design. Create executive-level visual analytics and communicate complex findings. Partner with Product, Engineering, and Business leaders to translate analysis into strategy. Required Skills Python SQLPredictive modeling Time-series prediction Clustering Churn modeling Anomaly detection Recommendation systems Statistical modeling Experimental design

This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 15 The Team: Enterprise Solutions (ES) Technology is a powerful combination of world class people and businesses with a shared mission and legacy of evolving markets and delivering for the most demanding customers in the world. We are the catalyst to bring data, software, services, and expertise together to power the markets of the future. We drive growth through world class execution, a growth mindset, and our unique expertise and passion for building innovative and connected solutions. We collaborate with our business line to drive business growth by focusing on execution of our joint product strategies. We ensure that we maximize business value while at the same time minimizing cost of ownership of our technology estate. Responsibilities and Impact: Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment. Design, build, and operate production-grade models for anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction, ensuring they are accurate, explainable, resilient, and regulator-ready. Own the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response when models degrade or fail in production. Partner closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems that deliver measurable operational and business outcomes. Act as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners, improving data quality and monitoring standards, and influencing decisions through deep expertise rather than formal authority. Gain high-impact exposure to senior technology leaders, market-facing financial-services platforms, regulated AI/ML practices, and global enterprise-scale transformation, with the opportunity to shape how advanced analytics and machine learning are applied safely and effectively in production. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $177,036 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What we are looking for: 25+ years of experience in analytics, data science, and machine learning, with a strong track record of delivering and operating production-grade models within financial services or other highly regulated, high-availability environments. Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle. Strong hands-on technical skills, with the ability to work directly with data, code, ML frameworks, and complex datasets, while partnering effectively with software engineering and platform teams. Experience building scalable, reliable, and explainable AI/ML solutions that meet operational, governance, and regulatory requirements and deliver measurable business outcomes. Additional Preferred Qualifications: Pragmatic and outcome-oriented mindset, focused on delivering models that perform reliably in production and create tangible business value. Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences. Influential leadership and collaboration, capable of driving alignment and technical excellence across cross-functional teams without relying on formal authority. Coaching and mentoring capability, guiding and developing data scientists through technical reviews, knowledge sharing, hands-on support, and leading by example. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. Return to Work: Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal . click apply for full job details

Job Description Job Description Company Description SOCOTEC is a provider of niche consulting services within the architecture, engineering and construction industries focusing on high-performance buildings and specialty structures. Through an integrated, holistic approach, our professionals provide solutions for building envelope, energy efficiency, sustainability, code advisory and construction advisory projects SOCOTEC's combination of expertise, experience and methods are increasingly recognized as best-in-class fueling significant growth. SOCOTEC is proud to announce that it has been officially certified as a Great Place to Work by the renowned global authority on workplace culture, Great Place to Work . Job Description As an Applied AI Engineer at SOCOTEC, you will be responsible for designing, developing, and deploying AI models that enhance our chatbot program and other AI-driven solutions. You will collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to integrate advanced AI technologies that address real-world challenges within our industry. You will focus on building scalable, efficient, and accurate machine learning pipelines while staying at the forefront of the latest AI advancements. Developing AI Models: Design and implement machine learning models tailored to natural language processing (NLP) and other AI applications within our chatbot and enterprise systems. Collaborating with Cross-Functional Teams: Work closely with product managers, data scientists, and software engineers to translate business requirements into intelligent AI-driven solutions. Building and Maintaining AI Pipelines: Create and optimize end-to-end machine learning pipelines, from data preprocessing to model deployment, ensuring scalability and performance. Optimizing Model Performance: Continuously fine-tune and improve the accuracy, speed, and robustness of AI models, leveraging techniques like hyperparameter tuning and model optimization. Implementing Best Practices in AI/ML Development: Ensure the reliability and quality of AI models by following best practices for training, testing, and model evaluation. Integrating AI Solutions: Work closely with backend engineers to integrate AI models into production environments using tools like LangChain and cloud services. Staying Updated with AI/ML Trends: Keep up with the latest developments in AI, machine learning, and natural language processing, applying new techniques to improve our technology stack. Documentation: Provide detailed documentation of AI workflows, models, and algorithms to facilitate collaboration and ensure long-term maintainability. Perform all duties as assigned by your manager Qualifications Proficiency in Python and experience with AI/ML libraries such as Scikit-learn, TensorFlow, PyTorch, and Hugging Face. Strong understanding of natural language processing (NLP) and experience building chatbot or conversational AI systems. Hands-on experience with AI model development, including data preprocessing, model training, evaluation, and deployment. Familiarity with AI/ML tools like Jupyter Notebook and cloud platforms such as AWS, GCP, or Azure. Experience with version control systems (e.g., Git, GitHub) and agile development methodologies. Ability to optimize model performance and scale AI solutions for production use. Experience with frameworks like LangChain for building conversational AI workflows. The ideal candidate should have at least 4-7 years of experience Preferred Qualifications Familiarity with reinforcement learning, transfer learning, or other advanced AI techniques. Knowledge of model monitoring, A/B testing, and continuous improvement strategies for AI systems. Experience with containerization tools like Docker for deploying AI solutions. Passion for exploring and implementing the latest advancements in AI technology. We are seeking a creative and detail-oriented individual who is passionate about building and deploying AI-driven solutions. If you thrive in a collaborative environment and are excited about shaping the future of AI at SOCOTEC, we encourage you to apply. Additional Information For more information, please visit Job Type: Full-Time, onsite 4 days a week Salary: $157-200k Applicants must be legally authorized to work in the United States without the need for current or future employer sponsorship. All your information will be kept confidential according to EEO guidelines. SOCOTEC is an Equal Opportunity Employer.

Job Description Job Description About Us Royal is seeking a GIS Manager to lead our geographic information systems program and oversee GIS staff, spatial data, mapping, and technology. This role combines team leadership with hands-on technical work to support project delivery, improve data quality, and make geospatial information accessible to project teams and clients. The GIS Manager will work with project managers, engineers, project scientists, and other stakeholders to define GIS needs, establish consistent workflows, and deliver accurate maps, analyses, and applications within project budgets and schedules. Here's What You'll Be Doing Lead day-to-day GIS operations; assign work, set priorities, and review deliverables. Develop and maintain GIS standards for data organization, coordinate systems, metadata, cartography, and quality assurance and quality control. Manage spatial databases and geodatabases, including data collection, editing, validation, versioning, and integration with other systems. Oversee the creation of maps, spatial analyses, web maps, dashboards, and applications using ArcGIS Pro and ArcGIS Online. Coordinate with project teams to define scope, estimate effort, manage schedules and budgets, and communicate progress. Support engineering, environmental, and disaster recovery projects with terrain analysis, LiDAR and elevation data, imagery, infrastructure mapping, and other geospatial datasets. Develop field data collection workflows using tools such as ArcGIS Field Maps and Survey123; coordinate field and office data integration. Improve recurring workflows through automation using Python, ArcPy, ModelBuilder, or other appropriate tools. Coordinate with IT on GIS software, licensing, user access, deployment, data protection, and system performance. Provide training and technical support; maintain documentation; support proposals; and plan GIS services. Here's What You Need Bachelor's degree in GIS, geography, geomatics, environmental science, engineering, computer science, or a related field; an equivalent combination of education and relevant experience may be considered. 5+ years of progressively responsible GIS experience, including 2+ years leading staff, projects, or GIS operations. Strong proficiency with ArcGIS Pro and experience with ArcGIS Online or ArcGIS Enterprise. Experience managing geodatabases, performing spatial analysis, and producing clear, accurate maps and deliverables. Working knowledge of coordinate systems, projections, data conversion, metadata, and GIS quality control. Ability to manage competing priorities, estimate effort, and deliver work within agreed budgets and schedules. Strong communication skills and the ability to explain GIS methods and results to technical and nontechnical audiences. Preferred Qualifications Experience supporting civil engineering, flood protection, drainage, utilities, transportation, environmental, or public-sector projects. Experience with LiDAR, digital elevation models, raster analysis, terrain modeling, and survey or CAD data integration. Experience with Python or ArcPy, SQL, enterprise databases, and GIS workflow automation. Experience administering ArcGIS Enterprise, publishing services, or managing web and mobile GIS applications. Experience with Field Maps, Survey123, Dashboards, Experience Builder, or comparable tools. GIS Professional (GISP) certification or another relevant professional credential. Work Environment and Travel This position is primarily office-based and may require occasional travel to project sites, client offices, or company locations. Equal Opportunity Employer Royal is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Job Description Job Description Please click on the link below in order to apply for the position. HomeSmart is seeking a hands-on applied AI engineer to work directly with internal teams and affiliated businesses. You'll identify meaningful business problems and build practical solutions-from initial prototype through production and ongoing improvement. Some projects will have a clear scope; others will require you to investigate workflows and define the problem. This individual-contributor role partners with engineering, data science, and infrastructure teams. We welcome data scientists, applied AI/ML engineers, and full-stack developers with strong engineering skills; prior Forward Deployed Engineer experience is not required. What You'll Do Work with business teams to understand workflows, identify opportunities, and define success measures. Build and deploy production-ready applications, APIs, integrations, AI-enabled workflows, and automation. Develop reliable data pipelines and shared data models, including a business data ontology connecting people, activities, documents, and relationships across systems. Collaborate on machine learning architecture, training and inference pipelines, testing, and evaluation; troubleshoot issues and improve performance. Choose the right approach for each problem-AI/ML, deterministic logic, or conventional software-based on accuracy, latency, cost, and control. Build in security, access controls, traceability, error handling, testing, and human review; protect sensitive data and credentials. Monitor adoption, quality, time savings, and operating costs, then improve and maintain solutions after launch. What You'll Bring Experience building software or AI applications, with the ability to explain your contributions and technical tradeoffs. Strong Python skills; working knowledge of SQL, APIs, software engineering fundamentals, version control, code review, and testing. Experience building with language models and evaluating their capabilities, limitations, and production performance. Comfort using AI development tools such as Claude Code, Codex, or Cursor-and the ability to debug, validate, and improve generated code. Sound security judgment around permissions, data integrity, sensitive information, and production credentials. Clear communication, curiosity, initiative, and the ability to work through ambiguity with technical and nontechnical partners. Helpful Experience Experience with large-scale data systems, cloud infrastructure, deployment automation, machine learning, AI agents, retrieval, document understanding, workflow systems, semantic models, or ontologies is helpful. LangChain, LangGraph, and other orchestration tools are welcome. You do not need expertise in every area, a specific degree, or a set number of years of experience. We value demonstrated ability, sound judgment, and a willingness to learn. Professional work, independent projects, open source, and self-built products all count. What to expect in the interview Be prepared to provide examples of your work such as a GitHub profile, portfolio, or project links. Public code is not required. Please do not share confidential or proprietary information. Why HomeSmart Help shape how a real estate business operates. You'll work closely with users, stakeholders, and experienced technical colleagues, with the opportunity to build solutions that improve individual workflows and become shared capabilities across the organization. Our hybrid approach combines collaboration in Scottsdale with focused engineering time. HomeSmart is an equal opportunity employer. We welcome qualified applicants from all backgrounds and evaluate candidates based on skills, demonstrated capabilities, and potential. Please let our recruiting team know if you need an accommodation during the hiring process.

Job Description Role: Data Scientist Location: Indianapolis, IN (46204) - Hybrid Type of Contract: W2 Contract Duration: 12 Months Required Experience: 04+ Years Job Description: Seeking a Data Scientist/Data Engineer with hands-on expertise in Azure Databricks, PySpark, Spark SQL, Delta Lake, and Azure Synapse Analytics to develop and optimize enterprise data pipelines, lakehouse solutions, and data warehouse workloads. The candidate will support data integration, governance, security, and analytics for sensitive agency data. Required Skills: • Strong hands-on experience with Azure Databricks, PySpark, Spark SQL, and Delta Lake. • Experience with medallion lakehouse architecture, batch/streaming pipelines, and incremental ingestion. • Strong Azure Synapse Analytics, SQL, dimensional modeling, and data warehouse optimization skills. • Experience with Azure Data Factory, Databricks Workflows, and Unity Catalog. • Knowledge of ADLS Gen2, Microsoft Entra ID, Key Vault, data governance, and security controls. • Experience with Git, CI/CD, Azure DevOps/GitHub, monitoring, and troubleshooting. • Strong communication and technical documentation skills. Preferred: • Databricks Certified Data Engineer Associate/Professional. • Microsoft Azure Data Engineer certification (DP-203). • Experience with Power BI connectivity and performance optimization. • Experience protecting sensitive data under HIPAA and agency security policies.

Job Description Job Description Experience: 5 + Years AI Engineer Job Summary: We are seeking an innovative and highly skilled AI Engineer to join our dynamic team. The ideal candidate will bridge the gap between traditional software engineering and cutting-edge artificial intelligence. You will be instrumental in designing, building, and deploying advanced AI agents, working closely with Large Language Models (LLMs), and driving automated code generation initiatives. If you have a strong foundation in Java and Python, coupled with hands-on experience using Google's AI tools, we want you to help us build the next generation of intelligent applications. Key Responsibilities: AI Agent Development: Design, build, and deploy autonomous AI agents capable of reasoning, planning, and executing complex workflows. LLM Integration: Integrate cutting-edge Large Language Models (LLMs) into our core products and services to enhance functionality and user experience. Model Context Protocol (MCP) Implementation: Utilize the Model Context Protocol (MCP) to securely connect our AI models to various data sources, tools, and development environments. Automated Code Generation: Leverage AI and LLMs to build systems that assist in, or fully automate, code generation, testing, and optimization processes. System Engineering: Write clean, scalable, and maintainable code in both Java and Python to support AI backend infrastructure. Google Ecosystem Integration: Utilize Google ADK (AI Developer Kits) and related Google Cloud AI services (e.g., Vertex AI, Gemini APIs) to deploy robust AI solutions. Cross-Functional Collaboration: Work closely with product managers, data scientists, and frontend engineers to translate business requirements into technical AI solutions. Must-Have Qualifications: Programming Languages: Strong proficiency in both Java and Python, with a proven track record of building production-grade software. Google AI Tools: Hands-on experience with Google ADK (or equivalent Google Cloud AI/Vertex AI tools). LLM Expertise: Deep comfort level and practical experience working with Large Language Models (prompt engineering, fine-tuning, RAG architectures). Agentic Workflows: Demonstrable experience in building and orchestrating AI Agents (using frameworks like LangChain, LangGraph, or custom implementations). MCP Knowledge: Familiarity and practical experience with the Model Context Protocol (MCP) for standardizing AI interactions with external tools. Code Generation: Experience in leveraging AI tools or building pipelines specifically for code generation and software automation. Good-to-Have (Optional but highly valued): Experience with modern robust backend frameworks (e.g., Spring Boot for Java, FastAPI for Python). Familiarity with containerization and orchestration (Docker, Kubernetes). Experience with vector databases (e.g., Pinecone, Weaviate, Milvus).

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 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. Join Gilead and help create possible, together. Director, IT Data & AI Product Owner - PDM & Tech Ops As part of our enterprise AI strategy to accelerate PDM and Tech Ops process and deliver therapies to patients faster, we are seeking a Director, IT Data/AI Product Owner - PDM and Tech Ops to lead AI/data product strategy across PDM and Tech Ops. In this leadership role, you will define and drive a portfolio-level product vision and roadmap for AI-enabled PDM and Tech Ops capabilities spanning Technical Development, Product and Process Development and Quality Areas You will serve as the IT Data & AI Center of Excellence (COE) lead for PDM and Tech Ops AI product/s, acting as the primary interface between PDM and Tech Ops stakeholders and IT, and shaping how AI is applied to improve knowledge management, Quality processes and decision-making for Technical Development, PD, and Quality. Reporting to the Senior Director, Data & AI, who will oversee a portfolio of AI-enabled products, lead product owners within the PDM and Tech Ops and other domains, and guide cross-functional teams to deliver high-impact solutions at scale. As the IT product owner, you will own the product vision, roadmap and stakeholder engagement for AI-enabled reporting, planning and analytics use cases while understanding the technical architecture required to deliver solutions. This position is based in Foster City, CA (hybrid eligible). Key Responsibilities Define and lead product strategy and multi-year roadmap for AI-enabled Technical Development and Quality capabilities. Partner with senior PDM and Tech Ops leaders to identify high-impact AI opportunities, identify pain points, and advanced analytics opportunities, and develop compelling business cases Lead and mentor AI Delivery Leads, Data Scientists and Product Managers. Prioritize the product backlog based on business value, risk, technical feasibility, and alignment with enterprise data and AI strategy. Establish and scale product operating model for consistency in delivery. Translate business objectives into clear product requirements and backlog items, incorporating data architecture, platform constraints, and scalability considerations. Own the end to end product vision and multi year roadmap for a portfolio of AI-enabled capabilities for Technical Development, PD and Quality decision-support, balancing enterprise priorities, platform constraints and value realization. Align solutions with data architecture, AI/ML capabilities, and platforms. Ensure adherence to GxP, 21 CFR Part 11, Annex 11 and regulated SDLC process. Define and track success metrics such as cost reduction, productivity gains, user adoption, and satisfaction; use insights to guide continuous improvement. Drive change management and user adoption, including designing for user experience, stakeholder communications, training strategies, and feedback loops. Own the vendor and partner strategy for product support, including external development capacity and AI/LLM capabilities, in coordination with IT and Procurement. Identify gaps between current state capabilities and target state solutions, influencing Databricks, AWS, and data platform evolution in partnership with technical leaders. Ensure compliance with GxP, privacy, and data governance requirements. Serve as a trusted advisor to clinical development leadership, applying strong business and financial acumen to evaluate trade offs and recommend data and AI driven solutions. Key Skills & Experience Bachelor's with 12+ years or Master's/PhD with 10+ years in relevant field. Strong understanding of clinical development processes including trial operations and data management. Experience leading AI/data product portfolios and teams. Strong executive stakeholder engagement and influence skills. Ability to translate complex business problems into scalable AI solutions. Knowledge of AI/data platforms (AWS, Databricks). Experience in Agile product delivery environments. Strong business acumen and prioritization skills. Differentiators Experience in PD, Quality systems, and understanding of CMC, manufacturing and supply chain analytics Experience applying AI/ML in clinical trials or development. Experience in GxP-regulated environments. Exposure to generative AI use cases. The salary range for this position is: $226,185.00 - $292,710.00. 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. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact for assistance. For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the legal duty to furnish information; or (d) otherwise protected by law. Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. . click apply for full job details

This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Are you passionate about using data, analytics, and automation to drive smarter decisions at scale? Do you enjoy partnering with technical and business teams to understand complex cost drivers and uncover opportunities for optimization? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX ( ), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles ( ). About the Role As a Senior FinOps Analyst, you will play a key role in shaping how AI costs are measured, analyzed, and optimized across the organization. You will own the data, analytics, and reporting that help teams understand the financial impact of AI adoption, while building scalable solutions that support effective decision-making and sustainable growth. This role offers an opportunity to partner closely with engineering, product, and finance stakeholders to improve visibility, forecasting, and cost efficiency. Our operating model is built around enablement rather than gatekeeping. Product and engineering teams evaluate models and select the options that best meet their needs. Your role is to make the cost implications of those choices visible early, clearly, and credibly so teams can make informed decisions. The goal is to influence through trusted data and practical insight, not through unnecessary approval processes. Responsibilities Own AI cost modeling and attribution across tokens, models, products, teams, and shared infrastructure. Define unit-cost metrics that distinguish usage growth from efficiency changes. Maintain accurate, explainable cost data with clear lineage and defensible methodology. Build Python pipelines that normalize telemetry, provider API data, platform usage, and cloud billing into trusted datasets. Automate recurring reporting, month-end close support, and anomaly detection. Develop practical BI dashboards for engineering teams and credible reporting for Finance stakeholders. Analyze cost movements and explain drivers, expected impacts, and forward-looking implications. Identify, quantify, and track optimization opportunities across model selection, prompt efficiency, caching, batching, retrieval, commitments, and tooling overlap. Requirements Experience in FinOps, cloud cost management, technology finance, data analytics, or a related analytical role. Strong analytical judgment, attention to detail, and ability to explain methodology, assumptions, and results. Working knowledge of AI inference cost drivers, including tokens, context length, model tier, caching, retrieval patterns, and agentic workload behavior. Python experience building APIs, data pipelines, normalized datasets, and repeatable automation. Strong SQL skills and dashboard-building experience in Power BI or Tableau for technical and finance audiences. Comfort using AI-assisted development tools such as Codex or Claude to accelerate analysis, automation, documentation, or pipeline work. Automation-first mindset focused on scalable reporting and reduced manual effort. Clear written communication that turns complex cost data into concise, actionable narratives. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Python Development Tech Lead Job Title: Python Development Technical Lead Overview: We are seeking an experienced Python Development Technical Lead that can be highly adaptable to lead agile execution for a fast-paced prototyping initiatives and Development Projects using AI. This role is focused on enabling a cross-functional team to rapidly design, build, and iterate on AI-driven solutions under tight timelines. The ideal candidate thrives in ambiguity, fosters collaboration, and ensures delivery velocity without sacrificing quality. Key Responsibilities: Lead Python Development team and perform hands on design and development and assign tasks to the development team Lead Scrum ceremonies (daily stand-ups, sprint planning, reviews, retrospectives) with a focus on speed and code production and quality improvement Remove impediments quickly to maintain team momentum in a rapid prototyping environment Partner with product owners, AI engineers, data scientists, and designers to align priorities and sprint goals Promote agile best practices while adapting frameworks to suit experimental and iterative AI development Track sprint progress, velocity, and deliverables; provide transparent reporting to stakeholders Foster a culture of accountability, collaboration, and innovation within the team Support backlog grooming and ensure user stories are well-defined and actionable Help manage shifting priorities and evolving requirements typical of AI research and prototyping Encourage rapid experimentation, learning loops, and iterative releases Required Qualifications: 5+ years of Technical Lead 5+ years of hands on experience in Python Development Solid understanding of Agile/Scrum principles and frameworks Experience working with cross-functional technical teams (engineering, data science, product) Proven ability to manage fast-paced, ambiguous projects with changing requirements Excellent communication, facilitation, and conflict resolution skills Preferred Qualifications: Experience in AI/ML, data science, or rapid prototyping environments Familiarity with tools AWS, DevOPS, CI/CD Experience with Lean Startup or experimentation-driven development Key Traits for Success: Proven success in driving development output Comfort with uncertainty and rapid change Ability to derive development vision Proven ability to solve problems Ability to balance structure with flexibility Passion for innovation and emerging technologies Quick learner Success Metrics: Sprint delivery consistency and velocity Team engagement and collaboration Time-to-prototype and iteration speed Stakeholder satisfaction and alignment Work Environment: Highly dynamic, experimental, and collaborative Short development cycles with frequent iteration Close interaction with AI engineers, product leaders, and stakeholders Summary: This role is ideal for someone who enjoys working at the intersection of development, lead and coordination; at the intersection of agility and innovation-helping teams move quickly from idea to AI-powered prototype while maintaining clarity, focus, and momentum. PI5e7fdc9798f0-6537

National Radio Astronomy Observatory Title: Software Engineer Group Lead, Online - UPDATED Location: 1011 Lopezville Rd, Socorro, NM 87801, USA• 5651 Balloon Fiesta Pkwy, Albuquerque, NM 87113, USA• 155 Observatory Rd, Green Bank, WV 24944, USA Requisition Number: 251 Job Family: Software Engineer Pay Type: Salary Required Education: ENG Position Description: Position Summary The National Radio Astronomy Observatory (NRAO) is a prestigious research and development organization that plays a vital role in the study of the universe. Associated Universities, Inc. (AUI) is a nonprofit organization that manages and operates the NRAO under a cooperative agreement with the National Science Foundation. The Observatory is a hub for technological and scientific collaboration, operating state-of-the-art radio telescope facilities for use by the international scientific community. The Observatory has been instrumental in the study of black holes, galaxies, and the early universe. At NRAO, we are recruiting an experienced, full-time Software Engineering manager, who will directly supervise software staff. The Online Group Lead manages a team of software engineers, including overseeing resource allocations, team priorities, performance evaluations, recruiting, team building, professional development, and staff succession planning. The team you will manage provides software products and shared software infrastructure that support online operating systems for the VLA, VLBA, and GBT notably data acquisition, dynamic telescope scheduling, and observation preparation. The data acquisition process includes preparing the antenna arrays for scientific observations and dynamically selecting and executing the most suitable scheduling blocks based on the current array configuration and weather conditions. Observation Preparation Tools support calls for proposals for use of the NRAO telescopes. The Online software group will develop and maintain software capabilities and infrastructure components that can be applied across multiple NRAO systems and new projects. The Software Engineering Group Lead is also responsible for guiding short- and long-term planning, coordinating development activities, and establishing engineering best practices that improve interoperability, reliability, maintainability, and operational effectiveness. This position requires close collaboration with scientists, software engineers, systems engineers, operations staff, and project stakeholders to ensure that common software infrastructure is aligned with current operational needs and future observatory capabilities. The group will help identify opportunities to standardize reusable components, reduce duplication, improve system consistency, and support the evolution of NRAO software systems over time. This position can be based at any of our NRAO locations, including Albuquerque, NM, Socorro, NM, Charlottesville, VA, or Green Bank, WV. For well-qualified candidates, a remote work arrangement may be considered. What You Will be Doing As the Online Software Engineer Group Lead, you will be responsible for the overall personnel management of software teams responsible for 1) data acquisition software systems, 2) dynamic telescope scheduling systems, 3) observation preparation tools, and 4) software system integration. You will also be responsible for regular reporting on management status and compliance with deadlines to senior management at NRAO and other participating organizations, and you may be asked to present that status to other stakeholders or advisory bodies in formal or informal reviews. Personnel management involves building and maintaining a culture of trust, mutual collaboration, accountability, and excellence within the Online Software group and with its stakeholders. This includes: Seeking to increase the technical diversity and expertise of the group through robust recruiting and onboarding practices. Professional development for existing staff and succession planning. Ensuring a professional working environment and efficient work processes are maintained through direct line management of staff. Reviewing timesheets and periodic performance reviews, including interacting with the Human Resources and Business departments of the Observatory when necessary. Proactive compliance with NRAO and government safety policies and procedures in own work area is expected. With guidance from the Observatory Human Resource Department, coordinating and advising on personnel matters, ensuring compliance with applicable policies such as affirmative action. Advising staff on planning, technical, and operational matters, instructs and orienting new employees as necessary. Interpreting, implementing, developing and/or recommending changes to rules, regulations, policies and procedures set forth by the Observatory. Programmatic management involves oversight of all aspects of the lifecycle of software for which the group is responsible, including: Gathering of requirements, planning development, assigning tasks, tracking progress, coordinating integration, testing, acceptance, and release while fulfilling high standards of quality. Managing stakeholder relationships, establishing priorities based on stakeholder needs, and maintaining effective communications. Ensuring the delivery of high-quality software products by the team that meets stakeholder expectations and schedules. Technical management involves interacting directly with all group members: Developing the software infrastructure. Guiding the integration of software components. Maintaining a consistent view and quality of implementation across all of the software. Approving technical direction within the team. Interacting with a team of expert developers and improving on present practices whenever and wherever appropriate. Work Environment Work is typically performed in a research and development office environment. Occasional travel (domestic and international) may be required. Who You Are: You are an experienced personnel manager who has formed and supervised high-performing software teams. You derive satisfaction from supporting the professional development and continuous improvement of your staff. You have worked in an Agile environment and understand how a team interfaces with Product Owners and Scrum Masters to deliver customer value. This is a management position, and you will not personally be expected to write any software. Education A Bachelor's degree in computer science, physics, astronomy, or related field. Advanced degree preferred. Experience You must have at least three or more years of experience directly supervising a software team of three or more people, including managing staff performance, resource allocations, recruiting, professional development, and team building. Additionally, you have at least seven years of experience in software development. You have worked with stakeholders to develop plans and priorities to deliver high quality and high value products. You have worked in an Agile environment and are familiar with Scrum and team workflow management practices. Preferred Experience Relevant experience with radio astronomy operating software and procedures is preferred. Knowledge of radio astronomy theories and practice would be valuable. Demonstrated experience providing technical leadership of complex data acquisition, scheduling, and operational support systems is preferred. Additional Requirement Observatory employees must be authorized to work in the United States. The Observatory presently cannot sponsor H-1B Visas for this position. Total Rewards: Compensation The starting salary of this position is between $123,000 and $153,000. Factors which may affect starting pay within this range may include; education, experience, skills, competencies, other qualifications of the successful candidate, as well as internal equity and labor market conditions. Benefits: Associated Universities, Inc (AUI) offers a comprehensive benefits package addressing the needs of employees and their families with most benefits beginning on the first day of employment, subject to eligibility requirements. AUI provides: Excellent paid time off (13 holidays, annual accrual of up to 24 vacation days) Medical, dental and vision plans are effective on the first day of employment. AUI's retirement benefit contributes an amount equal to 10 percent of a qualified participant's base pay with no required employee contribution. Click Total Rewards for more information. Application Instructions: Select the "Apply" button above. Please be prepared to upload your current CV/Resume and a cover letter describing interest and suitability for the position . Equal Opportunity Employer Statement: AUI is an equal opportunity employer. To view our complete statement, please visit . If you require reasonable accommodation for any part of the application or hiring process, you may submit your request by sending an email to . PM20 Compensation details: 00 Yearly Salary PI74c76cc624a5-8403

Job Description Job Description Science Systems and Applications, Inc (SSAI) is seeking an experienced and skilled Multi-GNSS Data Analyst . The successful candidate will be responsible for processing, analyzing, and validating Multi-GNSS data in support of precision positioning, navigation, and timing (PNT) applications. This role requires deep technical expertise in GNSS measurement processing, error modeling, and geospatial data analysis, with a strong focus on delivering high-accuracy positioning solutions for scientific and engineering applications. Key Responsibilities: GNSS Data Processing & Analysis Process raw Multi-GNSS observations using precise point positioning (PPP), Post-Processed Kinematic (PPK), reduced dynamic, differential, undifferenced, and relative positioning techniques Perform static, kinematic, and reduced dynamic Multi-GNSS data processing for ground-based, spaceborne, and airborne platform precise positioning and clock solutions including GNSS space vehicles, ground stations, and LEO geodetic satellites Perform Multi-GNSS data processing in support of Earth Orientation Parameter (EOP) and reference frame solutions Application and improvement of corrections for tropospheric delay, ionospheric delay, multipath, and other systematic error sources Conduct integer ambiguity resolution to achieve centimeter-level positioning accuracy Quality Assessment & Validation Assess Multi-GNSS solution quality using statistical metrics, residual analysis, and independent validation datasets Identify and mitigate systematic errors, outliers, and data gaps in Multi-GNSS observations Compare Multi-GNSS-derived positions against ground truth and independent reference datasets Document data quality issues and develop strategies for improvement Integration & Geolocation Integrate GNSS and IMU/INS data for precise platform positioning and attitude determination Support geolocation of remote sensing data including laser altimeter measurements Software & Tool Development Develop, maintain, and improve GNSS data processing scripts and workflows using PERL, Fortran, C, Python, and similar languages Work with Multi-GNSS processing software such as GIPSY-OASIS, BERNESE, and GEODYN Automate data processing pipelines to handle large volumes of Multi-GNSS observations efficiently Contribute to the development of data processing documentation and standard operating procedures Collaboration & Communication Collaborate with multidisciplinary teams including scientists, engineers, and project managers Present technical results and findings to both technical and non-technical audiences Contribute to technical reports, peer-reviewed publications, and conference presentations Participate in field campaigns and provide on-site GNSS data collection support as needed Required Qualifications: Bachelor's (B.S.) degree in Aerospace Engineering, Geodesy, Geomatics, Electrical Engineering, Physics, Computer Science, or a related field. Minimum 5 years of experience in GNSS data processing and analysis. Strong understanding of GNSS measurement models, error sources, and correction techniques. Proficiency in at least one GNSS processing software package (e.g., GIPSY, BERNESE). Experience with kinematic GNSS processing for spaceborne and airborne or mobile platforms. Proficiency in Python, MATLAB, or C++ for data analysis and automation. Familiarity with geodetic reference frames, coordinate systems, and datum transformations. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. U.S. Citizenship or Permanent Residency required. Desired Qualifications Master's or Ph.D. in Geodesy, Geomatics, Navigation, Aerospace Engineering or a closely related field. Experience with kinematic and reduced dynamic Precise Orbit Determination (POD) for spaceborne GNSS receivers. Experience with precise positioning and clock solutions for GNSS space vehicles and ground stations. Experience with Post-Processed Kinematic (PPK), Precise Point Positioning (PPP). Experience with integer ambiguity resolution techniques. Experience supporting airborne or spaceborne remote sensing missions. Knowledge of satellite gravimetry and laser altimetry. Familiarity with IMU/INS integration and tightly/loosely coupled GNSS/INS processing. Active participation in the geodetic or GNSS research community (publications, conferences). EEO/AA Veterans and Individuals with Disabilities Physical Requirements: While performing the duties of this job, the employee is regularly required to stand, walk, and use hands to touch, handle or feel objects, tools or controls. The employee frequently is required to talk and hear and occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. Must regularly lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, peripheral vision, depth perception and the ability to adjust focus

Poly6 is seeking an IT Analyst to support and optimize systems critical to advanced materials manufacturing. In this role, you will administer and troubleshoot enterprise applications, ERP/MRP, and lab/production systems, ensuring high availability and data integrity. You'll gather requirements from scientists, engineers, and operations teams, translate them into technical solutions, and coordinate with vendors. Responsibilities include user support, reporting and dashboard development, security and access management, and documenting processes to help scale Poly6's innovative, high-performance technologies across aerospace, energy, and industrial customers. Responsibilities Administer and support enterprise, ERP/MRP, and lab/production systems Troubleshoot system, application, and integration issues Gather and document requirements from business, engineering, and lab stakeholders Configure and optimize IT and manufacturing-related applications Develop and maintain reports and dashboards for operations and leadership Manage user access, security, and data integrity Coordinate with external vendors and internal teams on IT projects Document IT processes, configurations, and standard operating procedures Provide end-user training and technical support Support system upgrades, testing, and change management activities Required Skills IT systems analysis ERP/MRP administration SQL and database querying System integration and APIs Application configuration and support Reporting and dashboard tools (e.g., Power BI, Tableau) Requirements gathering and documentation Change and incident management Basic networking and infrastructure knowledge Information security and access management