Senior data scientist jobs in Reston, VA - 2,776 jobs

Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY-Parthenon - EY Growth Platforms - Data Scientist - Director The opportunity EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence. Within the EY-Parthenon service line, the EY Growth Platforms Data Scientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients. Your key responsibilities The EY Growth Platforms Data Scientist Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands-on experience solving some of the most interesting and mission-critical business questions with data. Skills and attributes for success · Lead ingestion and ETL design for structured and semi-structured data (CSV, JSON, APIs, Flat Files). · Understand schema, data quality, and transformation logic for multiple sources on a client-by-client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs. · Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data). · Build data access layers optimized for ML (feature stores, event streams, vector stores). · Define and enforce standards for data provenance, quality checks, logging, and version control. · Partner with AI/ML and Platform teams to ensure data is ML- and privacy-ready (HIPAA, SOC2, etc.). To qualify for the role you must have · A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience. · Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management. · Expertise in cloud-native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake). · Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt). · Experience with merging and reconciling third-party data (public APIs, vendor flat files, dashboards). · Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use. · Basic understanding of ML/feature pipelines and downstream modeling needs. · The ability and willingness to travel and work in excess of standard hours when necessary. Ideally, you will have · Experience working in a startup and/or management/strategy consulting. · Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot. · Collaborative, problem-solving, and growth-oriented mindset. What we look for We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you. What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at **************************. #J-18808-Ljbffr

A leading financial services company is seeking a Principal Associate, Data Scientist specializing in privacy-preserving machine learning and analytics. In this role, you will leverage advanced technologies to tackle complex business challenges while ensuring data privacy. Candidates should possess a strong background in data analytics, machine learning, and programming with Python. This position is based in McLean, Virginia, offering competitive compensation and opportunities for growth. #J-18808-Ljbffr

Data Scientist Indev is seeking a Data Scientist with 6+ years of experience to support our AI/ML, advanced analytics, and data visualization initiatives. This role will be instrumental in analyzing, visualizing, and communicating data insights that drive key business decisions. The ideal candidate will have strong technical skills in Python, SQL, Tableau, and AWS Cloud, as well as excellent communication and presentation abilities. This is a direct-hire, full-time position with salary and benefits. Indev provides a comprehensive benefits package, including Medical, Dental, Vision, 401k with match, Flexible Spending Account, and Paid Time Off (PTO)-including vacation and holiday pay. Your future duties and responsibilities: Data Analytics and Business Intelligence: Analyze large and complex data sets to uncover insights and support decision-making. Partner with stakeholders to define analytical needs and deliver actionable solutions. Develop and maintain data models to support advanced analytics initiatives. Data Visualization and Reporting: Design and create interactive dashboards and reports using Tableau. Present findings in a clear, concise manner tailored to both technical and non-technical audiences. Support data storytelling through compelling visualizations that communicate trends and patterns. Data Extraction and Management: Write complex SQL queries for data extraction, transformation, and loading (ETL) tasks. Work with relational databases (e.g., PostgreSQL, MySQL, NoSQL) to support data integrity and consistency. Automate routine data processes using a variety of scripts and tools. (e.g., Python, Airflow, SQL, AWS) Cloud Technology Utilization: Leverage AWS Cloud services (e.g., S3, EC2, RDS, Lambda) for data processing, storage, and retrieval. Ability to guide and support cloud modernization of data processes, including advanced AI/ML, automation, and governance technologies. Optimize cloud workflows for data access and analysis efficiency. Collaboration and Communication: Collaborate with cross-functional teams, including engineers, analysts, and business stakeholders. Clearly articulate analytical concepts and results to a wide range of audiences. Contribute to client-facing presentations and written reports. Required qualifications to be successful in this role: Bachelor's Degree in Technology, Business, Mathematics, Computer Science, Information Systems, or other related discipline from an accredited college, university, or academic institution in the United States. (Master's preferred) 6+ years of professional experience in AI/ML, data analysis, visualization, and reporting. Proficiency in Python for data manipulation and automation. Strong experience with SQL and relational databases (e.g., PostgreSQL, MySQL). Proficiency with Tableau for creating dashboards and visual reports. Experience creating automated data workflows, analytics processes, and processing pipelines. Advanced knowledge of data visualization and reporting using a variety of software and tools. Familiarity with AWS Cloud environments and services for data processing and storage. Familiarity with DevOps practices, Agile methodologies, and modern software development environments. Familiarity with the entire software development process from end-to-end. Excellent oral and written communication skills, with the ability to present complex information clearly. Strong problem-solving and analytical thinking skills. Existing and active DHS EOD/clearance (ICE preferred). Additional preferred qualification: Strong knowledge of change management processes and technologies (e.g., GitHub) Experience modeling and analyzing large financial and operational data in cloud environments. Demonstrated experience developing prototypes and proof-of-concept applications or software from end-to-end. Knowledge of federal data governance standards and compliance frameworks. Prior experience supporting federal government clients, especially DHS. Existing and active DHS EOD/clearance (ICE or TSA preferred). Clearance: Existing and active DHS EOD/clearance (ICE preferred). About Us: At Indev, we're not just a company; we're a trailblazing force transforming the way technology solutions shape the future. As a dynamic player in the federal government sector, we're on a mission to empower agencies with cutting-edge, innovative technology solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us. Let's innovate. *************

**ONLY FROM DMV AREA** Data Science and AI experience is a must • Look for more Data Scientist/ AI/ML Engineering Backgrounds • A lead Data Scientist with understanding of Solution designing can fit for this role • A hands on solution architect with Data Science and AI experience can be a potential fit for this role • I believe being end of the year might be a reason we have not got great candidates thus I am hopeful in January we might see a different variety of people • Not suitable for this role: “Solution Architects” with no data science background” , “Data Architects”, “Cloud Architects”

08-Jan-2026 Sr Data Scientist US Remote 10571BR As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. ************** Business Summary The Deltek Engineering and Technology team builds best-in-class solutions to delight customers and meet their business needs. We are laser-focused on software design, development, innovation and quality. Our team of experts has the talent, skills and values to deliver products and services that are easy to use, reliable, sustainable and competitive. If you're looking for a safe environment where ideas are welcome, growth is supported and questions are encouraged - consider joining us as we explore the limitless opportunities of the software industry. Position Responsibilities Job Summary As a Sr Data Scientist, you will lead data science initiatives from problem definition through production deployment, driving business impact through advanced analytics and predictive modeling. You will develop and implement predictive models for forecasting, optimization, and risk assessment, leveraging statistical and machine learning techniques. This role requires strong analytical skills, business acumen, and the ability to communicate insights effectively to both technical and non-technical stakeholders. You will mentor junior team members, establish best practices, and partner with engineering teams to ensure seamless model deployment and monitoring. Staying current with industry trends and evaluating new tools and techniques are essential for success in this position. Key Responsibilities Lead data science initiatives from problem definition through production deployment Drive business impact through advanced analytics and predictive modeling Develop predictive models for forecasting, optimization, and risk assessment using statistical and machine learning techniques Design and execute experiments (A/B testing, multivariate testing) to measure feature impact and validate model performance Analyze complex business problems across project management, resource planning, financial forecasting, and operational efficiency domains Develop advanced predictive analytics models for project cost overruns, resource optimization, cash flow prediction, and bid/win probability Communicate insights effectively to technical and non-technical stakeholders, including executives; create compelling visualizations and presentations Mentor junior data scientists and analysts; establish best practices for statistical analysis, model development, and reproducible research Partner with engineering teams to ensure smooth transition of models from research to production; define monitoring metrics and success criteria Stay current with industry trends in data science, ML, and AI; evaluate new techniques and tools for potential application Qualifications Required Qualifications 5-7 years of data science experience with demonstrated business impact through analytics and modeling in enterprise or SaaS environments Strong foundation in statistics, probability, experimental design, hypothesis testing, and regression analysis Proficiency in supervised/unsupervised learning, ensemble methods, time series forecasting, and model evaluation Expert programming skills in Python (pandas, scikit-learn, statsmodels) and SQL; experience with R is a plus Strong skills in creating insightful visualizations using Tableau, Power BI, matplotlib, or Plotly Experience with Spark, distributed computing, or processing large-scale datasets Ability to translate business problems into analytical frameworks; track record of driving measurable business outcomes Excellent presentation skills; ability to explain complex concepts to diverse audiences including senior leadership This position requires US Citizenship Preferred Qualifications Domain expertise in professional services, project-based businesses, government contracting, construction, or architecture/engineering MS/PhD in Statistics, Data Science, Economics, Operations Research, or quantitative field preferred; exceptional BS candidates considered Why Join Deltek? At Deltek, you will be part of a dynamic and innovative team committed to leveraging data science and AI to drive business transformation. Deltek fosters a collaborative culture that values professional growth, flexibility, and continuous learning. You will have the opportunity to work on impactful projects, develop your skills, and contribute to industry-leading solutions. Deltek's advanced AI capabilities empower employees to deliver cutting-edge analytics and insights, making it an ideal environment for data science professionals seeking meaningful career development and the chance to shape the future of enterprise technology. Compensation Info The U.S. salary range for this position is $91,000.00-$160,750.00. This range is subject to change as Deltek takes a number of factors into consideration when determining individual base pay, such as location, job-related knowledge, skills and experience. Certain roles are eligible for additional rewards, including incentive compensation and equity. Benefits and perks listed here may vary depending on the nature of employment with Deltek. Employees have access to healthcare benefits, a 401(k) plan and company match, paid vacation time and holidays, well-living programs, short-term and long-term disability coverage, basic life insurance and tuition reimbursement. Position Type FT Travel Requirements No Compliance Requirements Certain roles may have additional privacy, security and compliance requirements to the extent they support Costpoint GCCM or similar product offerings. EEO Statement Deltek, Inc. is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. E-Verify Statement Deltek, Inc., utilizes the E-Verify program with every potential new hire. This makes it possible for us to make certain that every employee who works for Deltek is eligible to work in the United States. To learn more about E-Verify you can call or visit their website by clicking the logo below. E-Verify is a registered trademark of the United States Department of Homeland Security. Applicant Privacy Notice Deltek is committed to the protection and promotion of your privacy. In connection with your application for employment with us at Deltek, it is necessary for us to collect, store and use information about you ("Personal Data") to administer and evaluate your application. We are the "controller" of the Personal Data you provide us and will process any such Personal Data in accordance with applicable law and the statements contained in this Employment Candidate Privacy Notice. Additionally, we have not sold and do not sell Personal Data you provide to us through the job application process.

Job ID 2025-12588 # of Openings 1 Category Intelligence Benefit Type Salaried High Fringe/Full-Time LMI is seeking a Data Scientist to support our Intelligence Community client. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Responsible for providing advanced data analytics and strategic workforce planning via on-demand, intuitive web-based capabilities and reporting. This includes maintaining key datasets in SQL Server database, providing ad hoc reporting, and developing interactive data visualizations. Engage technical and functional program SMEs and key data stakeholders to understand business processes, develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results Understand and analyze complex and organization-specific datasets Define and develop techniques to integrate, consolidate, and structure data for analytical use Support the maturation of data quality Support the transformation of businesses process through automation Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools Collaborate with the team internal and external timely and proactively Provide regular detailed reporting to management and customers Develop briefing packages to communicate complex ideas to non-technical customers Advise on the interpretation and use of data analysis products, dashboards, and reports to non-technical customers Qualifications Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline is required. Minimum 5 years in data analytics or related Preferred experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics. Experience working with programming languages like SQL and python (SQL required, python preferred) Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, and d3.js Self-starter with the vision to independently identify opportunities for improvement through data analytics. A true team player who maintains a positive attitude in a dynamic environment. Excellent communication skills, written and oral Proven ability to work with business customers and technical teams Highly organized and able to manage multiple projects simultaneously Excellent customer relationship management skills Innovative problem-solving skills and ability to thrive in a fast-paced environment Ability to work on client site in either Reston, VA or Washington, D.C Active TS/SCI required. CI Polygraph required for the position; candidates without a current polygraph will be sponsored for upgrade. Desired: Masters degree or higher Advanced knowledge of SQL or Python Experience using python libraries to build regression models and decision trees Experience with version control software like Git Management consulting experience desired Experience working with unstructured text and natural language processing Experience with deploying and maintaining models in production Previous experience with people analytics #LI-SH1 Target Salary Range: $150,000-$200,000 The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa USA Inc., a Visa Inc. company, needs a Staff Data Scientist (multiple openings) in Washington, DC to: Building and validating predictive models with advanced machine learning techniques and tools to drive business value, interpreting and presenting modeling and analytical results to non-technical audience. Conducting research using latest and emerging modeling technologies and tools to solve new fraud detection business problems like merchant acceptance fraud detection and/or improve existing production models' performance for fraud related business context. Improving the modeling process through MLOps and automation to drive efficiency and effectiveness. Partnering with a cross functional team of Product Managers, Data Engineers, Software Engineers, and Platform Engineers to deploy models and/or model innovations into production. Managing model risks in line with Visa Model Risk Management requirements. Conducting modeling analysis to address internal and external clients' questions and requests. Position reports to the Washington, DC office and may allow for partial telecommuting. Qualifications Basic Qualifications: Master's degree in Mathematics, Statistics, Computer Science, Engineering, Economics or related field and 6 years of experience in the job offered or in a Data Scientist or Data Analyst-related occupation. Position requires the following: Developing predictive models using Machine learning or Statistical Modeling (e.g. XGBoost). Scripting in Python, Unix or Linux. Using SQL for extracting and aggregating data. Experience with Hadoop or related big data query engine such as PySpark or Scala Spark. Experience with Model Risk Management. Additional Information Worksite: Washington, DC This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Travel Requirements:This position does not require travel. Mental/Physical Requirements:This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $170,872.00 USD to $232,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

An established industry player is seeking a seasoned Machine Learning Engineer to join a dynamic team focused on leveraging AI/ML technology for Federal use cases. In this role, you will collaborate with data scientists and engineers to design and develop innovative machine learning models, analyze large datasets, and optimize solutions for performance and scalability. This position offers a unique opportunity to contribute to impactful projects while working with cutting-edge technologies in a supportive environment that values your growth and contributions. If you are passionate about data and problem-solving, this role is perfect for you! #J-18808-Ljbffr

Terms of Employment • W2 Contract-to-Hire, 12 months • This is a hybrid schedule at Reston, VA, Candidates must reside in Maryland, Washington, DC, or Virginia Role Purpose The Lead Data Engineer is responsible for designing, building, deploying, and scaling robust data solutions with a primary focus on the AWS Cloud platform. You will lead a team in transforming the company's data platforms to deliver meaningful, data-driven insights while ensuring high reliability, automation, and performance Core Responsibilities: • Data Integration & Pipeline Leadership (50%): Lead the team to design, implement, and monitor all aspects of Data Integration. Develop and enforce best practices for data management, ensuring optimal performance for complex data pipelines. • AWS Infrastructure & Architecture (10%): Develop and maintain cloud-based infrastructure, including data warehouses (Redshift) and data lakes (S3). Model Data Warehouse solutions specifically tailored for cloud environments. • Engineering Oversight (10%): Oversee the delivery of high-priority engineering initiatives, managing both long-term projects and ad-hoc ELT/ETL activities. • Data Extraction & Transformation (10%): Create sophisticated data collection frameworks for structured and unstructured data. Apply advanced ETL/ELT techniques to connect large, diverse datasets. • Analytics & Quality Control (5%): Execute quantitative analyses to translate data into actionable insights. Design and manage strict quality control procedures across multiple systems. • Professional Development (5%): Maintain state-of-the-art practices by participating in professional societies and benchmarking new technologies. Required Qualifications Education: Bachelor's degree in Computer Science or IT. In lieu of a degree, 4 additional years of relevant experience is required. Experience: At Least 10 years Experience in leading data engineering and cross functional team to implement scalable data platforms for optimal performance. Experience developing and updating ETL/ELT scripts. Hands-on experience with application development, relational database layout, development, data modeling. Data Engineering on AWS platform preferably leveraging S3, Kafka, Redshift and other AWS services., at least 3 years ETL/Data Integration Design and Development experience using Java/Scala, Spark preferably on Cloudera Platform .,couple of projects Knowledge and understanding of SQL ., Expert Strong Java Programming with enterprise scale experience ( using Git,Artifactory and other DevOps tools) Knowledge and understanding of database design and implementation concepts. , Expert Knowledge and understanding of data exchange formats., Expert Knowledge and understanding of data movement concepts, Expert Strong technical and analytical and problem solving skills to troubleshoot to solve a variety of problems., Expert Requires strong organizational and communication skills, written and verbal, with the ability to handle multiple priorities., Expert Able to effectively provide direction to and lead technical teams., Expert nTech is an equal opportunity employer. All offers of employment are contingent upon pre-employment drug and background screenings. Only candidates who meet all of the above client requirements will be contacted by a recruiter.

CMiT is seeking an experienced Data Engineer to help lead the analysis, documentation, and migration of a ~2TB Oracle database environment to PostgreSQL. This role involves mapping complex data dependencies across multiple schemas Oracle in legacy data centers to Postgres RDS in AWS environments. This role offers the opportunity to play a pivotal role in a mission critical database modernization initiative, working with enterprise scale data systems while building expertise in both traditional and cloud-native database technologies. Responsibilities Perform comprehensive analysis of Oracle database structures across multiple schemas and systems Map table relationships, constraints, and dependencies within the ~2TB environment Document data flows, lineage, and integration points with legacy systems Create detailed migration documentation and data dictionaries in Confluence Design optimized PostgreSQL target schemas for performance and maintainability Develop migration strategies for complex Oracle features (PL/SQL, packages, materialized views) Create and execute data migration scripts with comprehensive validation procedures Implement hybrid migration approaches for legacy data center and AWS environments Design data synchronization strategies between on-premises and cloud environments Implement secure data transfer mechanisms and connectivity solutions Ensure data consistency and integrity across distributed PostgreSQL deployments Qualifications Education/Certification Required A minimum of a Bachelor's Degree. Experience or education requirements may be met through an equivalent number of combined years of education or experience. Required Qualifications 5+ years Oracle database administration and development experience 3+ years hands-on PostgreSQL experience with advanced features and performance tuning Experience with large-scale database migrations (multi-TB environments) Expert-level SQL skills across both Oracle and PostgreSQL platforms Proficiency in scripting languages (Python, Bash, PowerShell) for automation Experience with database migration tools (AWS DMS, ora2pg, pgloader) Knowledge of ETL/ELT tools and data pipeline frameworks Hands-on experience with AWS database services (RDS, Aurora PostgreSQL) Comfortable with a strong culture of documentation Proficiency with Confluence for technical documentation and knowledge management and sharing Ability to create clear data flow diagrams and system architecture documentation Experience with data lineage tools and dependency mapping Proficiency with diagramming tools (Visio, PowerPoint, etc) Proven track record of successful Oracle to PostgreSQL migrations Experience with legacy enterprise systems and data integration patterns Understanding of compliance and audit requirements for data migrations Strong collaboration skills with cross-functional teams Ability to collaborate with team members to ensure client needs and expectations are met or exceeded. Comfortable working in a remote environment. Demonstrates a passion for solving complex software challenges and enjoys working team collaboration. Preferred Qualifications: AWS certifications (Database Specialty, Solutions Architect) PostgreSQL and/or Oracle certifications or equivalent expertise Experience with data governance and master data management Knowledge of performance monitoring tools (CloudWatch, pg Admin, Oracle Enterprise Manager) Ability to obtain DHS/TSA clearance Clearance Required Active TSA clearance required

Who We Are: ThinkTek LLC is a fast-growing Certified SBA 8(a) and Service-Disabled Veteran-Owned Small Business (SDVOSB). We specialize in providing management and technology consulting services to support the business and technology modernization efforts of the Federal Government. ThinkTek was formed with the specific purpose of providing clients tailored solutions in Program & Project Management, Strategic Planning, and IT Services. Position Description: ThinkTek is seeking a Data Engineer with strong expertise in Microsoft Azure and experience integrating with ServiceNow (SNOW) platforms to support a Human Capital Management (HCM) modernization program for a large Federal agency. The selected candidate will provide technical leadership in designing secure, scalable data solutions that enhance interoperability between Azure-based systems, HCM platforms, and ServiceNow applications. The ideal candidate will have deep hands-on experience in Azure Data Factory, Azure Synapse Analytics, Power BI, and SQL Server, combined with a working knowledge of ServiceNow data structures, CMDB, and API integrations. Responsibilities: Lead the design and implementation of enterprise data architecture to support Human Capital Management and related business systems. Develop and maintain scalable data models, data warehouses, and migration strategies within the Microsoft Azure environment. Architect and manage Azure SQL Database, Azure Data Lake, and Synapse pipelines to enable secure data flow across HCM and ServiceNow platforms. Integrate data between Azure and ServiceNow, leveraging APIs, MID Servers, and RESTful web services. Collaborate with HR, IT, and ServiceNow platform teams to define and implement data standards, mappings, and transformation logic. Establish and monitor data governance, quality assurance, and compliance processes aligned with federal cybersecurity and privacy mandates (e.g., FISMA, FedRAMP). Develop advanced analytics and reporting solutions using Power BI and Azure Analysis Services to support workforce planning, performance insights, and executive dashboards. Serve as a technical advisor to ensure data architecture aligns with business goals, modernization priorities, and cloud best practices. Required Qualifications: Active Secret Clearance. Bachelor's Degree or higher. 5+ years of experience leading enterprise data architecture, modeling, and migration efforts. 5+ years of hands-on experience with Azure SQL, Azure Data Factory, Azure Synapse, and Power BI. Experience with ServiceNow data models, integrations, and CMDB architecture. Strong SQL and database design proficiency, including stored procedures, APIs, and ETL workflows. Experience supporting or integrating Human Capital Management or ERP systems (e.g., Oracle HCM, Workday, PeopleSoft, or SAP SuccessFactors). Knowledge of federal data privacy, security, and compliance frameworks (FISMA, FedRAMP, NIST). Preferred: Azure Solutions Architect, Azure Data Engineer, or ServiceNow Integration Specialist certification. Why ThinkTek: ThinkTek LLC is proud to be an Equal Opportunity Employer (EOE), making employment decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.We offer comprehensive benefits including medical, dental, and vision insurance for full-time employees, generous PTO, and a variety of paid leave options. Learn more about ThinkTek careers and benefits at ****************************

With over 5 million members, Working America mobilizes working people who don?t have the benefit of a union at work to fight for good jobs and a fair economy. As the community affiliate of the AFL-CIO, we unite working people in urban and suburban communities around a shared economic agenda. The Associate Data Engineer will support Working America's data integration work, including troubleshooting data issues, supporting interface data flows, and contributing to data validation and transformation efforts. Under the direction of the Manager of Data and Cloud services, they will assist in documenting data structures, supporting audit readiness, and ensuring compliance with data governance standards. This is a fixed-term position through Dec. 18, 2026. Reports to: IT Manager of Data & Cloud Services Duties and Responsibilities ? Support the design, development, and maintenance of data pipelines and database systems. ? Manage data quality, supporting data integration across internal and external systems,and maintaining metadata and data dictionaries. ? Write and update technical documentation for collaboration and knowledge sharing with team members. ? Support the development of reports and visualizations based on established report definitions. ? Other duties as assigned. Qualifications ? STEM-related Associate?s degree preferred, ? 0-2 years of related work experience in data engineering or architecture required; ? Familiarity with data systems and infrastructures, pipelines, and data sets required; ? Strong command of relational databases and SQL; Extract, Transform, and Load (ETL) data into a relational database required; ? Familiarity with cloud infrastructure technologies. ? 0-2 years of Python strongly preferred; ? Familiarity with GitHub; ? Excellent listening, interpersonal, communication and problem solving skills; ? Ability to use good judgment, take initiative, and make recommendations in resolving problems; ? Ability to work long and irregular hours as necessary in response to technical difficulties. Location: Washington, DC Position ? Full-time ? FLSA Classification: Non-Exempt The Step 1 salary is $94,209, with additional steps considered for candidates with experience and qualifications beyond what is required above. Includes medical insurance, paid time off, and 401(k) with employer contribution. The position is a bargaining unit position, represented by the Washington-Baltimore NewsGuild, TNG-CWA, Local 32035. Working America is an equal opportunity employer. Working America is committed to building a diverse workforce and encourages applications from women, people of color, LGBTQIA and other non-conforming individuals, and individuals with disabilities. Please see PI281420309 Job distributed by JobTarget. Please see job description

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: NoneTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future and have fun along the way. Our culture thrives on intellectual curiosity - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they are making history. Northrop Grumman Space Systems, located in Fairfax, VA, is seeking an experienced Computational Scientist with expertise in AI/ML modeling. This role involves collaborating with a multi-disciplinary team on cutting-edge projects in free space optical communications (FSOC). The ideal candidate will have a strong background in computational science, machine learning, and applied mathematics, with experience in data analysis, high performance computing, and GPU-based model development and optimization. The candidate will collaborate with scientists and engineers to understand atmospheric effects on FSOC missions and develop computational solutions to mitigate their impacts. In this role, the candidate will lead a small team to develop, implement, and optimize solutions using the latest AI/ML or other computational techniques, and educate team members on the latest AI advancements. Key attributes include creativity, curiosity, and critical thinking. The candidate should expect to work in-office in Fairfax, VA, alongside a team of atmospheric scientists and systems and software/hardware engineers whose experience ranges from junior to senior levels. Additionally, the candidate will provide advisory support to the Program Manager on meeting customer mission requirements. What You'll Get to Do: Design, develop, document, and test algorithms and applications that meet mission requirements Develop, implement, and optimize computational solutions, including AI/ML models, to support the mitigation of atmospheric impacts on FSOC Design and build data pipelines and analysis workflows for large datasets; deploy predictive models in production to support mission operations Collaborate with atmospheric scientists, systems and hardware engineers in planning, design, and development of atmospheric mitigation technologies. Meet with customers to understand requirements for mission success. Design and develop optimized computing algorithms and applications required to meet customers mission requirements Provide mentorship and guidance to other team members Work with junior engineers and atmospheric scientists to implement and validate algorithms Stay up-to-date with cutting-edge advancements in AI/ML What you need to be successful in the role: Comfortable with requirements-analysis and stake-holder engagement. Strong problem-solving skills and root-cause analysis to ensure that curated data is accurate, repeatable, and explainable. Solid communication skills (written, verbal, and visual) Ability to communicate data and engineering analysis regarding conclusions that were reached. Ability to create and present data reports to support investigations. Excellent attention to detail. Development /programming of tools to improve pipeline efficiency, eliminate repetitive tasks, and implement new analysis tools/techniques. Prioritization skills to manage workload and make sound decisions for assigned team's model development and data analysis activities. Basic Qualifications Ability to obtain and maintain a Top Secret (TS/SCI) clearance with Polygraph. US Citizenship is a requirement. A PhD in a physical or computational science with 7 or more years of experience. Experience applying AI/ML techniques to solve real-world problems Demonstrated use of High Performance Computing (HPC) Systems Demonstrated use of accelerated computing, numerical analysis, applied mathematics Demonstrated proficiency with Python, C++, CUDA Demonstrated proficiency with one or more machine learning and deep learning frameworks (e.g. TensorFlow, PyTorch, Keras) Demonstrated proficiency using libraries and toolkits including: TensorFlow, PyTorch Experience with Git and version control Experience communicating technical insights through development of briefings and/or papers Preferred Qualifications Experience with C, C++, Fortran software languages Experience with atmospheric science and modeling Experience with time series modeling, or probabilistic modeling including the use and application of deep neural networks Proven experience designing and building data pipelines and analysis workflows for large datasets Proven experience deploying predictive models in production to support mission operations Experience interfacing and presenting to executive audiences #LI-VP1 Primary Level Salary Range: $188,200.00 - $282,200.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Job Title: Data Scientist (U.S. Intelligence Community) Workplace: On-site (hands-on access to high impact data systems needed) Clearance Required: TS/SCI with Polygraph Why Join Elder Research * Mission-Driven Work: Support the U.S. Intelligence Community by building secure, scalable data systems that enable real-time insights. * Career Stability: We hire for careers, not contractsour work is growing * People-Focused Culture: We value work-life balance, collaboration, and professional growth. * Ownership Mindset: Every employee is a shareholder through our Employee Stock Ownership Plan (ESOP). * Competitive Pay & Benefits: * Typical salary range: $117k-$196K, depending on experience and contract labor category * 401(k) with employer contribution * Health, dental, and vision coverage * Paid parental leave and flexible PTO Ready to make an Impact? Message our recruiting team directly at:

Job Description Vivo HealthStaff is recruiting for a Data Scientist with TS/SCI Clearance in the Washington, DC/Northern Virginia area. This is a full-time position supporting a federal government-focused technology company. Regular travel to client sites and secure facilities is expected. About the Role: Our client is an advanced analytics company supporting both government and commercial sectors. Their AI platform enables users to transform complex data into powerful visualizations and predictive models using no-code tools. The platform is currently deployed across federal agencies and major enterprise organizations. We are seeking a skilled and motivated Data Scientist to support mission-critical analytics and AI/ML deployments. Responsibilities: Utilize the company's AI platform to develop and deploy production-ready solutions. Own the full lifecycle of AI solution development from ideation to implementation. Work with customer data and big data frameworks (e.g., Databricks) to design effective workflows. Collaborate with cross-functional teams to deliver impactful, explainable AI models. Qualifications: Active TS/SCI security clearance required. Must be based in or near Washington, DC/Northern Virginia with access to SCIFs. Bachelor's degree in Computer Science or a related field. 3+ years of experience with Python and Python data stack (pandas, numpy, sklearn, TensorFlow, PyTorch, etc.). 1+ year of experience deploying machine learning models in production environments. 1-2 years of experience with SQL/NoSQL databases (e.g., Elasticsearch, graph databases). Experience with Git, Docker, and/or Kubernetes. Strong sense of ownership, accountability, and communication skills. Preferred Skills: Experience leading projects from within a SCIF environment. Background in cyber analytics, PCAP/network monitoring, or vulnerability analysis. Familiarity with distributed systems such as Spark, Dask, Snowpark, or Kafka. Experience with workflow/task orchestration tools (e.g., Celery, Airflow, Prefect) and web frameworks (e.g., Flask, Django). To Apply: Please submit your CV for immediate consideration. Only candidates with an active TS/SCI clearance and U.S. work authorization will be considered.

Job Description Senior Data Scientist (TS/SCI) Ninja Analytics is looking for a Senior Data Scientist to help lead the development and delivery of high-quality predictive modelling solutions. Successful applicants will serve as recognized subject matter experts in the application of quantitative methods, machine learning algorithms, and predictive models to address complex national and homeland security challenges. They will help our team to leverage large structured and unstructured datasets to develop and operationalize models, tools, and applications that drive optimized decision making. Project tasks include data collection, mining, data and text analytics, clustering analysis, pattern recognition and extraction, automated classification and categorization, and entity resolution to implement and enhance automated risk assessment. The products we develop provide actionable insight with real and immediate impact on the safety and security of the United States, its citizens, visitors, and economy. The strongest applicants will offer multiple years of experience in highly dynamic, threat/risk driven operating environments. They will also have a proven track record of delivering production ready decision support tools and applications employed in the field and by mission-support entities. Applicants will have a demonstrated capacity to work closely and collaboratively with mission stakeholders; respond to emergent, mission-driven changes in priorities and expected outcomes; and apply new and emerging tools and techniques. Within three - six months of joining the project, data scientists will be expected to: Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation). Collaborate with mission stakeholders to define, frame, and scope mission challenges where big data interventions may offer important mitigations and develop robust project plans with key milestones, detailed deliverables, robust work tracking protocols, and risk mitigation strategies. Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation. Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions. Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching. Brief project management, technical design, and outcomes to both technical and non-technical audiences including senior government stakeholders throughout the model development/ project lifecycle through written as well as in-person reporting. Qualifications Education: Bachelor's Degree (required), Master's or Ph.D. degree (preferred) in operations research, industrial engineering, mathematics, statistics, computer science/engineering, or other related technical fields with equivalent practical experience. Required Qualifications 12+ years of related experience Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems Experience with programming languages including: R, Python, Scala, Java. Proficiency with SQL programming Experience constructing and executing queries to extract data in support of EDA and model development Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent Experience with pattern recognition and extraction, automated classification, and categorization Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation) Experience with unsupervised and supervised machine learning techniques and methods Experience performing data mining, analysis, and training set construction Desired Qualifications Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc. Experience with pattern recognition and extraction, automated classification, and categorization Experience with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation) Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI) Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) Security Clearance: Selected applicants must be a US Citizen and able to obtain and maintain a Top Secret Security Clearance

Apogee Solutions is seeking a Senior Data Scientist to support the United States Air Force's Deputy Chief of Staff for Training and Readiness at the Pentagon. Qualified candidates must have a Top Secret clearance. The Senior Data Scientist will serve as the Team Lead and Project Manager and is responsible for directing, assigning, and supervising readiness and data analytic projects. The Training and Readiness Directorate is the Air Staff's focal point to assist, orchestrate, and implement readiness analysis actions for current and future operations across the Air Force, to include weapons system sustainment, operational training infrastructure, critical skills personnel shortages, flying hour analysis, and deployment ratios. The Senior Data Scientist will: * Serve as the Project Manager, responsible for workload distribution and contract deliverables. * Serve as the direct supervisor for the entire team, responsible for hiring and personnel management. * Direct team to modify, update, and use appropriate models, computer programs, databases, or similar tools based on the direction of the Government. * Provide support and operationalize a fully functional responsive model consistent with changing conditions, readiness reporting, forecasting requirements, and data analytics. * Conduct detailed research and analyses to assist in development and support of implementation plans, executive reports, and existing reports and projects. * Identify change management initiatives for readiness projects and incorporate into a plan of action to research, address, and document root causes for not meeting Air Force readiness requirements. * Serve as the Air Force Readiness Division's representative at predictive analytics and operations research community professional conferences, cross-talks, seminars, and other professional events. * Interact with academic and analytic organizations to keep current with latest trends and techniques in the industry. * Assist in force structure assessments, joint and regional issues, congressional matters and hearing questions for record, and senior leader congressional correspondences. * Provide technical and analytical support capable of addressing routine and complex readiness reporting and prediction questions using agile predictive readiness modeling and simulation tools as well as predictive readiness analysis methodologies. * Assist with providing briefings, conferences, and demonstrations on the Readiness * Analysis and Decision Support Enterprise, to include DRRS readiness reporting analysis of Air Force units, key personnel, force structure, funding/ resourcing, logistics/maintenance/sustainment, equipment, training, and operational interactions in the context * Coordinate and communicate forecasting readiness assignments and suspense actions to applicable staff functions, tracks actions, and assist in crafting or completing the staff products. * Monitor staff actions and other readiness requirements, including requests from Major Commands (MAJCOMs), the Air Staff including the SecAF, the JS, and the OSD. * Updates five-year readiness level projections for Air Force units regularly, including force structure, end strength/personnel/manning, active/ reserve mix, training resources, support/sustainment resourcing, operations resources, force presentation/management. * Conducts analysis of Aircraft Availability calculations for MAJCOMs and all MDSs in the Air Force inventory * Conducts analysis to support policy and funding changes to the Air Force Flying Hour Program. Delivers briefings and papers explaining the impacts to AF readiness if various courses of action are pursued in terms of funding levels for all required aircraft Mission Design Series (MDS). * Prepares draft bi-monthly Congressional testimony, written statements, and recommended questions for record. * Incorporate the Space, Cyber, and ISR readiness analyses improvements into the overall adaptable predictive system of tools, techniques, and procedures. * Provide technical insights and assist to resolve problems and issues involving the modification of mathematical models and computer programs to evaluate and predict the ability to support assigned missions. Required Experience * Active DOD Top Secret Clearance * PhD in modeling and simulation, operations research, or other related field is highly desired; Master's Degree in similar discipline combined with additional experience may also be accepted * Minimum of 15 years of combined experience to include readiness analysis at the tactical, operational, and strategic levels as well as prior military staff experience * Minimum of 10 years of experience in predictive analysis including corporate processes to operational readiness * Minimum of 5 years of experience leading analytics teams and Air Force operations teams * Extensive knowledge of Air Force Operations to include 5 years of experience in supporting Air Staff or an equivalent strategic level * Active profile through published papers, conference attendance, or serving on advisory panels * Understanding of DRRS, readiness authoritative data systems, and related readiness systems * Prior work experience using data gathering and modeling methodology to include fuzzy set theory, neural networks, multi-attribute decision support methods, and statistical or mathematical problem solving * Capable of explaining and defending Air Force readiness analytic models, conclusions, projections, and data during annual audits

Job Description General Information Job Code: SHR-DM-05T Employee Type: Exempt, Full-Time Regular Telework: Ad hoc as determined by client Salary Range: $129,985.76 - $149,483.62 per year (how we pay and promote) Citizenship: U.S. Citizen as required by client Position Overview Are you passionate about turning complex data into actionable insights? As a Health Data Scientist focused on AI & Clinical Data supporting our client, you will play a pivotal role in shaping our success. This is a Science and Engineering and Technical Advisor (SETA) role in the Proactive Health Mission Office at the Advanced Research Projects Agency for Health (ARPA-H) responsible for providing technical leadership in data design, evaluation strategy, and clinical realism for a multi-stakeholder program advancing AI diagnostics for rare diseases. Successful candidates will operate at the intersection of health data, AI evaluation, and clinical practice, providing expert guidance to program leadership and external performers. You will ensure that datasets, benchmarks, and evaluation methods are scientifically rigorous, clinically grounded, and aligned with real-world use so that technical progress translates into meaningful clinical insight and patient impact. Primary Responsibilities While not an exhaustive list, the key duties for the position include: Lead and advise on the design, preparation, and validation of healthcare datasets used across the program, including EHR, genomic, and multimodal data. Define and assess evaluation strategies and benchmarks that are clinically realistic, methodologically sound, and resistant to shortcut learning or leakage. Review technical proposals, model submissions, and evaluation results from external teams, providing expert feedback on validity, risks, and interpretability. Assess data quality, representativeness, and bias, and advise on mitigation strategies appropriate to rare disease contexts. Evaluate alignment between technical performance metrics and clinical decision-making needs, working closely with clinical SMEs. Identify gaps between benchmark performance and real-world applicability, and advise on corrective actions. Serve as a technical bridge between AI developers, clinical experts, and program leadership. Support the program manager with technical assessments, recommendations, and decision support related to data and evaluation. Track progress of external partners and identify data- or evaluation-related risks that could impact program outcomes. Produce high-quality written reports, analyses, and presentations that communicate technical findings to diverse audiences. Requirements Minimum Education and Experience: PhD in Biomedical Informatics, Data Science, Biostatistics, or a related field. 7+ years of relevant professional experience with 5+ years of experience working with healthcare or biomedical data in applied or evaluative roles. Basic Requirements: Hands-on experience with EHR, genomic, or multimodal healthcare datasets. Deep understanding of AI/ML evaluation methods, including benchmarking, robustness, and sources of bias or leakage. Demonstrated ability to critically review and assess technical work across health data and AI domains. Strong understanding of data governance, privacy, and compliance in healthcare contexts. Excellent written and verbal communication skills, with experience producing high-quality technical materials. Intermediate experience with Microsoft Office productivity software and collaboration tools such as Microsoft Teams and SharePoint. Skills That Set You Apart: Domain expertise in rare disease, diagnostics, or clinical decision support. Prior experience in technical advisory, evaluation, or SETA-style roles. Experience collaborating closely with clinicians and healthcare stakeholders. Experience working in fast-paced, multi-stakeholder, or early-stage environments. About Ripple Effect Ripple Effect is an award-winning women-owned, 200-person company of communicators, scientists, researchers, and analysts. Established in 2003, and named as one of the “Best and Brightest Companies to Work For” since 2020, Ripple Effect has earned acclaim for delivering unparalleled consulting services and top-tier talent across federal, private, and non-profit sectors. Benefits At Ripple Effect, we reward our employees for their contributions to our mission. Our comprehensive total rewards package includes competitive pay, exceptional benefits, and a range of programs that support your work/life balance and personalized preferences. Learn more about our benefits and culture here.

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare's greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Location: This position is a hybrid role based out of our HQ Bowie, MD office. The current expectation is that we are in office two days each week (Tuesday-Wed), with extra additional days as required during the month. Overview: The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team's services to internal and external clients. The Senior position provides guidance and support as needed to junior staff. The team consists of staff with specialized experience, such as research scientists, health service researchers, health economists, clinicians, and project managers, who conceptualize, execute, and deliver qualitative, analytical, and strategy-based work products for clients. We also work closely with other practices, applying the full scope of the firm's knowledge base to the development of multi-disciplinary, creative solutions on behalf of our clients. Duties and Responsibilities: * Serve as lead when working collaboratively with teams of health services researchers and business analysts to draw insight and intelligence from large administrative claims datasets, electronic medical records and various healthcare registry datasets; * Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques; * Utilize SQL to perform advanced-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use; * Identify, develop and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients; * Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects; * Serve as lead when working closely with Inovalon's Enterprise Data Management, Data Integration, MORE2 Registry, and iPORT+ teams to identify, understand, and resolve data issues and improve the efficiency, productivity and scalability of Avalere and Inovalon Product and production data processes; * Troubleshoot complex production-related issues and coordinate successful resolution; * Assist with the evaluation of data analytic vendors and tools; * Maintain compliance with Inovalon's policies, procedures and mission statement; * Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; * Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company; * Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; and * We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such. Job Requirements: * 5 + years of professional experience in healthcare or pharmaceutical industries working with administrative claims data and big data; * Health Economics Outcomes Research experience; * Strong SQL programming skills in addition to working knowledge and experience using statistical analysis tools such as SAS, R, SPSS, Stata, and/or MatLab; * Demonstrated problem solving, analytical reasoning and decision-making skills; * Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources; * Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.) and good understanding of design and architecture principles; * Exhibit strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines; * Understanding of database management tools (e.g., Hadoop, Hive or MapReduce); * Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques; * Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences; * Ability to work under minimal supervision in a fast-paced multidisciplinary environment; * Advanced knowledge of health care, health policy, pharmaceutical, medical device, and related issues; * Superior customer service in the form of first-rate work product and project management; * Strong ability to manage challenging client situations; * Strong ability to troubleshoot and recommend solutions; and * Strong ability to translate complex information for a wide range of clients. Education: * Master's degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline; or equivalent combination of education and experience. Physical Demands and Work Environment: * Sedentary work (i.e. sitting for long periods of time); * Exerting up to 10 pounds of force occasionally and/or negligible amount of force; * Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions; * Subject to inside environmental conditions; and * Travel for this position will include less than 5% locally usually for training purposes. Inovalon Offers a Competitive Salary and Benefits Package In addition to the base compensation, this position may be eligible for performance-based incentives. The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments. That's why Inovalon offers a valuable benefits package with a wide range of choices to meet associate needs, which may include health insurance, life insurance, company-paid disability, 401k, 18+ days of paid time off, and more. Base Compensation Range $113,000-$140,000 USD This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions) If you don't meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles. By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth. Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement. To review the legal requirements, including all labor law posters, please visit this link To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link