Description: We are seeking a mid-level SQL Server Data Engineer who understands the intricacies of handling data at scale. These are some of the duties you will be expected to perform. Design new databases, enhance existing ones, write SQL queries and Transact-SQL (T-SQL) stored procedures Troubleshoot issues when tickets come in, find/document and implement elegant solutions Performance tune slow queries by re-writing, indexing and improving database design Work closely with Software Engineers and Data Scientists to improve data flow from collection to reporting Gather requirements from stakeholders when needed, document and implement them Maintain a positive, can-do attitude and a strong desire to learn and excel Monitor our databases, and take action when any system fails Learn new skills required for your job Requirements: Must be able to work in-office in St. Peters, MO, 5 days a week (this position is fully on-site) Bachelor's degree in Computer Science, MIS or equivalent work experience 4+ years of experience as a SQL Server Data Engineer Deep understanding of SQL, database design, normalization Good understanding of Database Engine internals such as buffer pool, parallelism, execution plans, indexing 2+ years of experience creating, managing and monitoring data pipelines (ETL/ELT) Positive attitude, with a strong desire to learn and excel Experience with C# or Python preferred 2+ years of experience with Business Intelligence (BI) tools preferred Pay Rate and Benefits Salary commensurate with experience Group Insurance (Medical, Dental, Vision, Life, etc.). 401k with Employer Match. Discounted CarShield policies. Discounted Tuition at Lindenwood University. Professional development opportunities. Basketball, and other recreation available on-site. Fitness facilities, with the option to take classes led by on-staff personal trainer (at St. Peters headquarters). And more! PI6-
08/07/2026
Full time
Description: We are seeking a mid-level SQL Server Data Engineer who understands the intricacies of handling data at scale. These are some of the duties you will be expected to perform. Design new databases, enhance existing ones, write SQL queries and Transact-SQL (T-SQL) stored procedures Troubleshoot issues when tickets come in, find/document and implement elegant solutions Performance tune slow queries by re-writing, indexing and improving database design Work closely with Software Engineers and Data Scientists to improve data flow from collection to reporting Gather requirements from stakeholders when needed, document and implement them Maintain a positive, can-do attitude and a strong desire to learn and excel Monitor our databases, and take action when any system fails Learn new skills required for your job Requirements: Must be able to work in-office in St. Peters, MO, 5 days a week (this position is fully on-site) Bachelor's degree in Computer Science, MIS or equivalent work experience 4+ years of experience as a SQL Server Data Engineer Deep understanding of SQL, database design, normalization Good understanding of Database Engine internals such as buffer pool, parallelism, execution plans, indexing 2+ years of experience creating, managing and monitoring data pipelines (ETL/ELT) Positive attitude, with a strong desire to learn and excel Experience with C# or Python preferred 2+ years of experience with Business Intelligence (BI) tools preferred Pay Rate and Benefits Salary commensurate with experience Group Insurance (Medical, Dental, Vision, Life, etc.). 401k with Employer Match. Discounted CarShield policies. Discounted Tuition at Lindenwood University. Professional development opportunities. Basketball, and other recreation available on-site. Fitness facilities, with the option to take classes led by on-staff personal trainer (at St. Peters headquarters). And more! PI6-
Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:
08/07/2026
Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:
Disney Entertainment and ESPN Product & Technology
New York, New York
Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: As a Software Engineer, you will use your deep Java, scripting, DevOps, and data persistence skills to write and test code that delivers new features for our application portfolio. You will be an important part of a motivated team where we'll be looking for you to collaborate with the team to drive application architecture, code quality, and make sure we are building the right things for our users. We want someone that has grown up through the web software development ranks - possessing 3 or more years' experience in designing and architecting highly scalable, secure, performant, and usable web applications using Java/Java EE. The ideal candidate would possess deep skills in server side technology (Java, Spring, RESTful Web Services), while having expertise with orchestration and containerization platforms (Docker and Kubernetes), coupled with hands on persistence and data streaming technology experience (MySQL, Oracle, Cassandra, Redis, Kafka). We'd like you to be comfortable performing multiple roles. We strive to get things done quickly, with high quality, and we are committed to the agile methodology. Our work is guided by lean principles (looking at value and looking for waste; not doing anything 'for the sake of doing it'). We're looking for a passionate, impactful, engineer who wants to come here to do their very best work and make their mark, add their chapter to the long and storied history of The Walt Disney Company. Someone who holds themselves and their teammates accountable in a professional, collaborative manner. A collaborative technologist who seeks to bring the best out in themselves and those around them. Someone who can provide a fresh perspective and innovative insight to our initiatives. Responsibilities and Duties of the Role: KEY RESPONSIBILITIES Collaborate with leads and influence software architecture and design to ensure that you are delivering high quality work that aligns with Disney Entertainment and ESPN Product & Technology engineering strategy. Collaborate on the design, development, maintenance, testing strategy, and operations of Integration API services written primarily in Java. Develop secure and highly performant integration services and APIs Collaborate with and influence technical teams to deliver quality software and ensure the maintainability and quality of code Engage with product and technology leaders to understand and translate requirement needs into executable solutions Check-in valuable, clean code on a daily basis that adds new features and capabilities Create reference implementations for the purpose of mentoring and leading more junior staff (when required) Help define engineering best practices Investigate and resolve any production issues from end user (UI) to service layer and work to prevent them Strong experience in designing and building multithreaded, distributed systems We rely heavily on the following tools and technologies: Kafka for our asynchronous and event driven architectures Java, Spring Boot, Spring Cloud for application development Kubernetes and Docker to schedule and run our services AWS for most of our infrastructure Observability Platforms for monitoring, alerting, logging and metering. We also have multiple physical datacenter sites to connect to various third-party systems. Required Education, Experience/Skills/Training: YOU MUST Hold a Bachelor's degree in Computer Science, Computer Information Systems, Engineering, or another technical field Have 3+ years of experience in Integration tools and technologies and software using Java, Spring, Kafka, workflow orchestration, decision rules, API gateway, service mesh, event driven & API based microservices. Have a strong interest in integration and open source technologies. Strong knowledge of integration architectures, best practices, tools, techniques and platforms. Have some previous experience in leading teams across multiple locations and vendors. PREFERRED EXPERIENCE/EDUCATION/SKILLS Master's degree in Computer Science, Software Engineering or related technical discipline is highly desirable Experience in vibe coding and AI tools Previous work experience in integration applications, products and platforms Experience working with vendor teams to deliver high quality results Knowledge of performance testing and application profiling (Gatling, JProfiler) Strong curiosity about how Disney delivers the Magic and a desire to be a part of it The hiring range for this position in New York, NY is between $120,300 - $161,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
08/07/2026
Full time
Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. Ad Platforms is responsible for Disney's industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms. Job Summary: As a Software Engineer, you will use your deep Java, scripting, DevOps, and data persistence skills to write and test code that delivers new features for our application portfolio. You will be an important part of a motivated team where we'll be looking for you to collaborate with the team to drive application architecture, code quality, and make sure we are building the right things for our users. We want someone that has grown up through the web software development ranks - possessing 3 or more years' experience in designing and architecting highly scalable, secure, performant, and usable web applications using Java/Java EE. The ideal candidate would possess deep skills in server side technology (Java, Spring, RESTful Web Services), while having expertise with orchestration and containerization platforms (Docker and Kubernetes), coupled with hands on persistence and data streaming technology experience (MySQL, Oracle, Cassandra, Redis, Kafka). We'd like you to be comfortable performing multiple roles. We strive to get things done quickly, with high quality, and we are committed to the agile methodology. Our work is guided by lean principles (looking at value and looking for waste; not doing anything 'for the sake of doing it'). We're looking for a passionate, impactful, engineer who wants to come here to do their very best work and make their mark, add their chapter to the long and storied history of The Walt Disney Company. Someone who holds themselves and their teammates accountable in a professional, collaborative manner. A collaborative technologist who seeks to bring the best out in themselves and those around them. Someone who can provide a fresh perspective and innovative insight to our initiatives. Responsibilities and Duties of the Role: KEY RESPONSIBILITIES Collaborate with leads and influence software architecture and design to ensure that you are delivering high quality work that aligns with Disney Entertainment and ESPN Product & Technology engineering strategy. Collaborate on the design, development, maintenance, testing strategy, and operations of Integration API services written primarily in Java. Develop secure and highly performant integration services and APIs Collaborate with and influence technical teams to deliver quality software and ensure the maintainability and quality of code Engage with product and technology leaders to understand and translate requirement needs into executable solutions Check-in valuable, clean code on a daily basis that adds new features and capabilities Create reference implementations for the purpose of mentoring and leading more junior staff (when required) Help define engineering best practices Investigate and resolve any production issues from end user (UI) to service layer and work to prevent them Strong experience in designing and building multithreaded, distributed systems We rely heavily on the following tools and technologies: Kafka for our asynchronous and event driven architectures Java, Spring Boot, Spring Cloud for application development Kubernetes and Docker to schedule and run our services AWS for most of our infrastructure Observability Platforms for monitoring, alerting, logging and metering. We also have multiple physical datacenter sites to connect to various third-party systems. Required Education, Experience/Skills/Training: YOU MUST Hold a Bachelor's degree in Computer Science, Computer Information Systems, Engineering, or another technical field Have 3+ years of experience in Integration tools and technologies and software using Java, Spring, Kafka, workflow orchestration, decision rules, API gateway, service mesh, event driven & API based microservices. Have a strong interest in integration and open source technologies. Strong knowledge of integration architectures, best practices, tools, techniques and platforms. Have some previous experience in leading teams across multiple locations and vendors. PREFERRED EXPERIENCE/EDUCATION/SKILLS Master's degree in Computer Science, Software Engineering or related technical discipline is highly desirable Experience in vibe coding and AI tools Previous work experience in integration applications, products and platforms Experience working with vendor teams to deliver high quality results Knowledge of performance testing and application profiling (Gatling, JProfiler) Strong curiosity about how Disney delivers the Magic and a desire to be a part of it The hiring range for this position in New York, NY is between $120,300 - $161,300. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
MANTECH seeks a motivated, career and customer-oriented Workforce Analytics/Data Scientist to join our team in Springfield, VA. The Workforce Analytics/Data Scientist will support the Equal Employment Opportunity (EEO) office by delivering comprehensive oversight and compliance capabilities. You will apply deep subject matter expertise to develop policies, strategic implementation plans, and tailored training while leveraging data science to protect privacy rights and civil liberties. Responsibilities include but are not limited to: Carrying out primary and secondary data collection and analysis activities, including the interpretation of analytic results and the development of vetted recommendations for senior leaders. Utilizing and developing queries from HRIS systems and business intelligence tools such as Python, R, SQL, and Tableau. Partnering with EEO staff to provide demographic-related workforce analytics for organizational oversight and federal reporting. Identifying and reporting on triggers and barriers to equal employment opportunities by analyzing workforce metrics and employee sentiment. Displaying analytic results visually and textually to communicate complex findings to both technical and non-technical audiences at all levels of the organization. Supporting annual, quarterly, and ad hoc internal and external reporting requirements by preparing briefings and strategic staff material. Participating in internal and external working groups and meetings related to workforce demographic data topics and project management. Minimum Qualifications: Bachelor's Degree or higher in Operations Research, Mathematics, Statistics, Data Science, or a related quantitative field. 7+ years of progressively responsible experience in social science or workforce analytics-related fields. Experience conducting qualitative and quantitative data analysis using descriptive and inferential statistics such as ANOVA, t-tests, and regression modeling. Experience with and demonstrated ability to extract and synthesize complex information to prepare briefings, read-aheads, and presentations with high attention to detail. Experience and proficiency with data science and visualization tools, predominantly Tableau, as well as Python, R, or SQL. Experience utilizing human capital data regarding promotion, attrition rates, and internal churn within an EEO context. Preferred Qualifications: Subject matter expert in quantitative and qualitative human capital research with an advanced degree in quantitative field. Advanced proficiency in coding, specifically including SQL for database management. Self-starter with experience interacting with senior-level directors and executive leadership to drive organizational change. Clearance Requirements: An active TS/SCI with the ability to obtain and maintain a Polygraph. Physical Requirements: Must be able to remain in a stationary position 50%. Constantly operates a computer and other office productivity machinery, such as a copier, scanner, and computer printer. Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.
08/07/2026
Full time
MANTECH seeks a motivated, career and customer-oriented Workforce Analytics/Data Scientist to join our team in Springfield, VA. The Workforce Analytics/Data Scientist will support the Equal Employment Opportunity (EEO) office by delivering comprehensive oversight and compliance capabilities. You will apply deep subject matter expertise to develop policies, strategic implementation plans, and tailored training while leveraging data science to protect privacy rights and civil liberties. Responsibilities include but are not limited to: Carrying out primary and secondary data collection and analysis activities, including the interpretation of analytic results and the development of vetted recommendations for senior leaders. Utilizing and developing queries from HRIS systems and business intelligence tools such as Python, R, SQL, and Tableau. Partnering with EEO staff to provide demographic-related workforce analytics for organizational oversight and federal reporting. Identifying and reporting on triggers and barriers to equal employment opportunities by analyzing workforce metrics and employee sentiment. Displaying analytic results visually and textually to communicate complex findings to both technical and non-technical audiences at all levels of the organization. Supporting annual, quarterly, and ad hoc internal and external reporting requirements by preparing briefings and strategic staff material. Participating in internal and external working groups and meetings related to workforce demographic data topics and project management. Minimum Qualifications: Bachelor's Degree or higher in Operations Research, Mathematics, Statistics, Data Science, or a related quantitative field. 7+ years of progressively responsible experience in social science or workforce analytics-related fields. Experience conducting qualitative and quantitative data analysis using descriptive and inferential statistics such as ANOVA, t-tests, and regression modeling. Experience with and demonstrated ability to extract and synthesize complex information to prepare briefings, read-aheads, and presentations with high attention to detail. Experience and proficiency with data science and visualization tools, predominantly Tableau, as well as Python, R, or SQL. Experience utilizing human capital data regarding promotion, attrition rates, and internal churn within an EEO context. Preferred Qualifications: Subject matter expert in quantitative and qualitative human capital research with an advanced degree in quantitative field. Advanced proficiency in coding, specifically including SQL for database management. Self-starter with experience interacting with senior-level directors and executive leadership to drive organizational change. Clearance Requirements: An active TS/SCI with the ability to obtain and maintain a Polygraph. Physical Requirements: Must be able to remain in a stationary position 50%. Constantly operates a computer and other office productivity machinery, such as a copier, scanner, and computer printer. Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.
National Radio Astronomy Observatory
Green Bank, West Virginia
The National Radio Astronomy Observatory (NRAO) seeks a Software Engineer Group Lead to guide development of common domain software supporting world-class radio telescopes. In this role, you will lead a small team of engineers designing, implementing, and maintaining high-reliability, scalable software for astronomical data processing and observatory operations. You will collaborate closely with scientists, system engineers, and IT staff, set technical direction, review code, and ensure best practices in software architecture, testing, and deployment. This position offers the opportunity to contribute directly to groundbreaking astronomical research in a collaborative, mission-driven environment.
08/01/2026
Full time
The National Radio Astronomy Observatory (NRAO) seeks a Software Engineer Group Lead to guide development of common domain software supporting world-class radio telescopes. In this role, you will lead a small team of engineers designing, implementing, and maintaining high-reliability, scalable software for astronomical data processing and observatory operations. You will collaborate closely with scientists, system engineers, and IT staff, set technical direction, review code, and ensure best practices in software architecture, testing, and deployment. This position offers the opportunity to contribute directly to groundbreaking astronomical research in a collaborative, mission-driven environment.
