Data scientist jobs in Virginia

We are seeking a junior-level Data Science professional with a strong academic foundation and early hands-on experience to join our team as a Exploitation Specialist. The ideal candidate will hold a bachelor's degree in a data science-related field and bring internship or project experience that demonstrates curiosity, initiative, and a willingness to learn from senior team members. This role is a great opportunity for someone eager to grow their technical skill set while supporting a high-impact mission. Required Qualifications Active TS/SCI clearance with the willingness to obtain a CI polygraph Ability to work onsite in Northern Virginia, 40 hours per week (telework options are extremely limited) Proficiency with Python and SQL Preferred Qualifications Familiarity with GEOINT collection and related NGA/NRO systems Experience with additional programming languages such as R, JavaScript, HTML, and CSS Understanding of object-oriented programming Experience using visualization tools such as Grafana, Tableau, or Kibana Ability to quickly learn new technologies, adapt to evolving mission requirements, and support the development/testing of new analytic methodologies

Senior / Principal Data Scientist Employment Type: 12 Month Contract-to-hire About Us Our client is an engineering consultancy delivering advanced testing, analytics, and consulting services to organizations worldwide. Our mission is to leverage cutting-edge technology and data-driven insights to improve safety and performance in sports and related industries. Role Overview We are seeking a Senior / Principal Data Scientist to lead modeling and analytics initiatives across diverse domains, including: Computer Vision: Detect and interpret events from game video. Sensor Data Analysis: Event detection from athlete-worn devices. Generative AI: Develop solutions to deliver actionable insights to end users. You will design and implement machine learning models, build simulation-based tools, and create dashboards that provide injury risk assessments and mitigation strategies. This role involves research, algorithm development, and presenting findings to executive stakeholders. Key Responsibilities Develop and implement advanced machine learning models and algorithms. Build analytical tools and dashboards using frameworks like Shiny, Dash, or Streamlit. Collaborate with cross-functional teams to deliver actionable insights. Present research and analytics to leadership and clients. Qualifications Education: MS or PhD in Computer Science, Statistics, or related STEM field. Strong understanding of machine learning theory and structure. Proficiency in Python or R and experience with common ML libraries. Experience with SQL/NoSQL databases and distributed processing. 5+ years of post-graduate experience in engineering, consulting, or leadership roles. Preferred: Background in biomechanics or sports analytics. Publications or conference contributions in relevant fields. Experience with professional sports organizations. Consulting experience with executive-level presentations. Ideal Candidate You are passionate about applying data science to enhance athlete safety and performance. You thrive in collaborative environments and enjoy building innovative solutions that make a real-world impact.

Purpose: As a Data Scientist, you will play a key role in delivering impactful, data-driven solutions for our strategic enterprise clients. This role also offers the opportunity to shape and grow Infocepts' Data Science & AI practice, contributing to high-impact AI/ML initiatives, crafting data-driven narratives for stakeholders, and applying advanced techniques to solve complex business problems from strategy to execution. Key Result Areas and Activities: Design, build, and deploy AI/ML solutions using modern cloud and data platforms. Lead data science projects across industries, ensuring alignment with business goals. Apply supervised, unsupervised, deep learning, and Generative AI (e.g., LLMs, agentic workflows) techniques to address client use cases. Collaborate with data engineering teams to optimize model pipelines using Delta Lake and Spark. Communicate findings effectively through data visualizations and stakeholder presentations. Drive adoption of MLOps practices for scalable and reliable model deployment. Contribute to the evolution of Infocepts' Data Science & AI offerings through innovation and knowledge sharing. Roles & Responsibilities Essential Skills 5+ years of experience in applied AI and machine/deep learning. Hands-on experience with Databricks, MLflow, PySpark, and Spark MLlib. Proficiency in Python and SQL for model development and data manipulation. Strong understanding of supervised and unsupervised learning, deep learning, and Generative AI. Familiarity with cloud platforms: AWS, Azure, and GCP. Solid foundation in advanced statistical methods and probabilistic analysis. Ability to lead end-to-end AI/ML projects, including design, development, and stakeholder management. Experience with visualization tools like Tableau, Power BI, or similar. Familiarity with ML workflow orchestration and MLOps practices. Desirable Skills Experience with LLMs (Large Language Models) and agentic AI workflows. Familiarity with modern data platforms like Snowflake. Exposure to real-time data processing in cloud-native environments. Contributions to open-source AI projects or publications in data science communities. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Certifications in cloud platforms (AWS, Azure, GCP) or Databricks are a plus. Qualities: Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work seamlessly with clients across multiple geographies Research focused mindset Excellent analytical, presentation, reporting, documentation and interactive skills "Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."

Immediate need for a talented Data Engineer. This is a 12 months contract opportunity with long-term potential and is located in Mclean, VA(Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-93504 Pay Range: $70 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Design, develop, and maintain data pipelines leveraging Python, Spark/PySpark, and cloud-native services. Build and optimize data workflows, ETL processes, and transformations for large-scale structured and semi-structured datasets. Write advanced and efficient SQL queries against Snowflake, including joins, window functions, and performance tuning. Develop backend and automation tools using Golang and/or Python as needed. Implement scalable, secure, and high-quality data solutions across AWS services such as S3, Lambda, Glue, Step Functions, EMR, and CloudWatch. Troubleshoot complex production data issues, including pipeline failures, data quality gaps, and cloud environment challenges. Perform root-cause analysis and implement automation to prevent recurring issues. Collaborate with data scientists, analysts, platform engineers, and product teams to enable reliable, high-quality data access. Ensure compliance with enterprise governance, data quality, and cloud security standards. Participate in Agile ceremonies, code reviews, and DevOps practices to ensure high engineering quality. Key Requirements and Technology Experience: Skills-Data Engineer- Python , Spark/PySpark, AWS, Golang, Able to write complex SQL queries against Snowflake tables / Troubleshoot issues, Java/Python, AWS (Glue, EC2, Lambda). Proficiency in Python with experience building scalable data pipelines or ETL processes. Strong hands-on experience with Spark/PySpark for distributed data processing. Experience writing complex SQL queries (Snowflake preferred), including optimization and performance tuning. Working knowledge of AWS cloud services used in data engineering (S3, Glue, Lambda, EMR, Step Functions, CloudWatch, IAM). Experience with Golang for scripting, backend services, or performance-critical processes. Strong debugging, troubleshooting, and analytical skills across cloud and data ecosystems. Familiarity with CI/CD workflows, Git, and automated testing. Our client is a leading Banking and Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Data Engineer - Distributed Energy Resources (DER) Richmond, VA - Hybrid (1 week on - 1 week off) 12-month contract (Multiple Year Project) $45-55/hr. depending on experience We are hiring a Data Integration Engineer to join one of our Fortune 500 utilities partners in the Richmond area! In this role, you will support our client's rapidly growing Distributed Energy Resources (DER) and Virtual Power Plant (VPP) initiatives. You will be responsible for integrating data across platforms such as Salesforce, GIS, SAP, Oracle, and Snowflake to build our client's centralized asset tracking system for thermostats, EV chargers, solar assets, home batteries, and more. In this role, you will map data, work with APIs, support Agile product squads, and help design system integrations that enable our client to manage customer energy assets and demand response programs at scale. This is a highly visible position on a brand-new product team with the chance to work on cutting-edge energy and utility modernization efforts. If you are interested, please apply! MINIMUM QUALIFICATIONS: 3-5 years of experience in system integration, data engineering, or data warehousing and Bachelor's degree in Computer Science, Engineering, or related technical discipline. Hands-on experience working with REST APIs and integrating enterprise systems. Strong understanding of data structures, data types, and data mapping. Familiarity with Snowflake or similar data warehousing platform. Experience connecting data across platforms and/or integrating data from a variety of sources, i.e. SAP, Oracle, etc. Ability to work independently and solve problems in a fast-paced Agile environment. Excellent communication skills with the ability to collaborate across IT, business, engineering, and product teams. RESPONSIBILITIES: Integrate and map data across Salesforce, GIS, Snowflake, SAP, Oracle, and other enterprise systems Link distributed energy asset data (EV chargers, thermostats, solar, home batteries, etc.) into a unified asset tracking database Support API-first integrations: consuming, analyzing, and working with RESTful services Participate in Agile ceremonies and work through user stories in Jira Collaborate with product owners, BAs, data analysts, architects, and engineers to translate requirements into actionable technical tasks Support architecture activities such as identifying data sources, formats, mappings, and integration patterns Help design and optimize integration workflows across new and existing platforms Work within newly formed Agile product squads focused on VPP/Asset Tracking and Customer Segmentation Troubleshoot integration issues and identify long-term solutions Contribute to building net-new systems and tools as the client expands DER offerings NICE TO HAVES: Experience with Salesforce. Experience working with GIS systems or spatial data. Understanding customer enrollment systems. Jira experience. WHAT'S IN IT FOR YOU…? Joining our client provides you the opportunity to join a brand-new Agile product squad, work on high-impact energy modernization and DER initiatives, and gain exposure to new technologies and integration tools. This is a long-term contract with strong likelihood of extension in a stable industry and company. Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws.

The candidate must have 5+ years of hands on experience working with PySpark/Python, microservices architecture, AWS EKS, SQL, Postgres, DB2, Snowflake, Behave OR Cucumber frameworks, Pytest (unit testing), automation testing and regression testing. Experience with tools such as Jenkins, SonarQube AND/OR Fortify are preferred for this role. Experience in Angular and DevOps are nice to haves for this role. Must Have Qualifications: PySpark/Python based microservices, AWS EKS, Postgres SQL Database, Behave/Cucumber for automation, Pytest, Snowflake, Jenkins, SonarQube and Fortify. Responsibilities: Development of microservices based on Python, PySpark, AWS EKS, AWS Postgres for a data-oriented modernization project. New System: Python and PySpark, AWS Postgres DB, Behave/Cucumber for automation, and Pytest Perform System, functional and data analysis on the current system and create technical/functional requirement documents. Current System: Informatica, SAS, AutoSys, DB2 Write automated tests using Behave/cucumber, based on the new micro-services-based architecture Promote top code quality and solve issues related to performance tuning and scalability. Strong skills in DevOps, Docker/container-based deployments to AWS EKS using Jenkins and experience with SonarQube and Fortify. Able to communicate and engage with business teams and analyze the current business requirements (BRS documents) and create necessary data mappings. Preferred strong skills and experience in reporting applications development and data analysis Knowledge in Agile methodologies and technical documentation.

Job Title: Data Scientist Fort Eustis, VA Salary: Competitive, Depends on Qualifications Clearance: SECRET Travel: Possible travel is anticipated Purpose People, Technology and Processes, LLC is seeking contractors to provide support to the TRADOC Enterprise KM Program. The goal of the TRADOC Enterprise KM Program is to create and implement the TRADOC KM strategy and improve organizational performance by establishing an environment and culture that efficiently shares knowledge, leverages data/content, and continuously innovates and improves work and business processes. The KM Program effectively harnesses the critical relationship between people, process, technology in the context of the organizational structure in creating, applying, organizing, and transferring know-how, experience, and expertise to support organizational learning and timely decision-making. Required Education/Certifications: Bachelor's degree (preferred) Minimum Required Experience: Possess significant experience in developing, implementing, and maintaining performance measurement systems (for example, SharePoint, Strategic Management System, Vantage, Power BI). Possess proficiency with online platforms (SharePoint 2016, A365 (SharePoint Online) and enterprise mobility. Proficiency in web development including languages (JavaScript, CSS, HTML) and building and maintaining websites (WordPress). Proficiency in project management software (JIRA, MS Planner) Proficiency in on-premises and cloud business software services (MS Office). Proficiency in multi-platform collaboration tools (MS Teams) Proficiency in low and no code business process automation and application development (Power Apps,  Power Automate). Significant experience in data analytics, reporting and visualizations (PowerBI, Vantage) and decision-making platforms (Vantage) Experience in data modeling and design (defining tables, configuring table and column properties, defining relationships, resolving many-to-many relationships, defining appropriate levels of granularity) (for example, Vantage). Significant experience in data engineering/architecture including building and maintaining data pipelines, integrating data, implementing data structures, and designing and maintaining data storage (Vantage). Experience with designing and building data architectures consisting of models and developing standards and rules for how collected is stored, arranged, integrated, and put to use in data systems. Experience with accessing and leveraging structured relational data as well as semi-structured and unstructured data including big data. Experience in object development and design. Experience collaborating with a team to design immersive UI/UX friendly SharePoint Online Modern Site Pages, applications, and forms. Experience applying business technologies, benchmarking, Baldridge Criteria, balanced scorecard, business intelligence dashboards, performance metrics, key performance indicators, measurement/analysis, and related concepts, principles, and practices to a program of similar size and scope. Experience providing oversight and guidance on application of content management systems, workflows, data mining, cloud computing, predictive analytics, statistics, data warehousing, information/Cyber security, visualization, metadata tagging, and applying related content and data management theories, concepts, and applications. Possess a Security + CE Certification About the company: As a Service Disabled, Veteran Owned Small Business (SDVOSB) we are a provider of Information Technology (IT) professional services, software solutions and professional development training. Our core competencies evolved from leveraging IT enablers for knowledge management with an emphasis on Web Based Knowledge Portals and Portal Services, Server/System Services, SharePoint Development and System Administration and SQL Server Services. Our capabilities have expanded to include software development, technical training support and field support services. Guiding Principles Satisfy the customer - "Exceed expectations" Set the Example - "Be out front" Be Responsive - "Timing is everything" Persevere - "Find a way" Benefits PTP offers a comprehensive benefits program: Medical insurance Dental insurance Vision insurance Supplemental benefits (Short Term Disability, Cancer & Accident). Employer-sponsored Basic Life & AD&D Insurance Employer-sponsored Value Adds - FreshBenies 401(k) with matching Holidays and Annual Leave 11 Paid Holidays 120 hours PTO accrual per year

Falconwood is a woman-owned, veteran-owned company providing consultation and programmatic support to Department of Defense Information Technology (IT) initiatives and programs. We provide expert advice and consultation on a diverse range of IT subjects, focusing on acquisition, policy, cybersecurity, engineering, and process development. The Data Scientist III will be responsible for leading advanced analytics and data science initiatives in support of the Commander, Naval Information Forces (NAVIFOR) N6 Directorate, with a focus on strategic data enablement across the Navy Information Warfare enterprise. Responsibilities This position provides oversight and direction for the implementation of data strategies, frameworks, and predictive analytics. The candidate will align data solutions with mission goals, lead cross-functional teams, and guide the adoption of enterprise-wide data governance, visualization, and analysis tools. This position is a hybrid role based in Suffolk, VA, with limited travel anticipated. Responsibilities Lead the strategic development and execution of data science and analytics initiatives supporting NAVIFOR's Command Data Office (CDO) Oversee the implementation of the NAVIFOR CDO Data and Analytics Capability Maturity Implementation Plan (I-Plan) Apply advanced data science techniques including machine learning, AI, and statistical modeling to develop mission-aligned insights Coordinate enterprise data governance and strategy across diverse stakeholder groups Provide subject matter expertise in designing and optimizing Extract, Transform, Load (ETL) pipelines and data architecture Supervise and mentor junior data scientists, analysts, and engineers in best practices and methodologies Develop performance metrics, dashboards, and process improvement strategies using NPIER/DMAIC Author and present detailed white papers, briefs, and reports to Flag/SES-level stakeholders Qualifications Education: Master's degree in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics, or a related discipline Experience: Minimum of 7 years of demonstrated experience in data strategy, data science, governance, and advanced analytics, preferably supporting DoD or Navy enterprise environments Clearance: Active Secret Clearance required Technical Skills: Expertise in statistical analysis, AI/ML frameworks, and advanced analytics tools Familiarity with data governance, Navy data strategies, and enterprise analytics Experience with Navy cloud platforms, data engineering tools, and collaboration tools such as Power BI, Jupyter, Confluence, and Jama The candidate must: Be capable of performing effectively individually and as part of a team Have effective critical thinking and problem-solving skills Be self-motivated and able to successfully deliver with minimal supervision Be proficient in Microsoft Office Suite Pay Range Base pay is $135,000-$145,000, subject to skill level, qualifications, and location. Benefits Highlights: 401k, Tuition Reimbursement, Health/Dental/Vision Insurance, PTO, Federal Holidays, Performance Increases, Reserve Duty Compensation and more!

REQUIRED SKILLS • Demonstrated experience with the ability to understand and automate customer workflows and business processes with Al solutions • Demonstrated experience in data structures, data modeling, and software architecture • Demonstrated in-depth experience and knowledge of Inachine learning tools and frameworks such as PyTorch, Tensorflow, etc. • Demonstrated experience with extensive math and computer science skills, with a deep understanding of probability, statistics, and algorithms • Demonstrated experience in Al/ML specific programming languages, such as Python, Jav, C++, Conda, etc. • Demonstrated experience training Al Inodels, as well as in integrating pre-trained models into dataflows and software architectures. DESIRED SKILLS • Demonstrated experience implementing secure Al solutions in the Intelligence Community • Demonstrated experience working with highly sensitive data sets • Demonstrated experience in leading Al/ML initiatives • Demonstrated experience and in-depth knowledge of implementing ETL (Enhance/Transform/Load) pipeline • Demonstrated experience and in-depth knowledge in implementing solutions in Alnazon Web Services • Demonstrated experience with very strong problem solving and critical thinking skills • Demonstrated experience performing in a collaborative team environment.

Job Title: Data Scientist LOCATION: ARLINGTON VA / WASHINGTON DC (DUE TO CUSTOMER REQUIREMENTS YOU MUST BE LOCATED IN THE GREATER WASHINGTON DC AREA) Workplace: Hybrid Clearance Required: Must have a IRS Public Trust w/a Full Background Investigation Requisition Type: Pipeline this is not a current opening but rather a talent pipeline for Data Analyst of all levels with an IRS Public Trust w/ background investigation interested in supporting the Government customer. When new IRS Data Scientist positions become available, this talent community will be the first place our recruiters look to fill the roles. Candidates with profiles in this talent community can also expect to receive regular updates on relevant new job opportunities. Be sure to also apply to any relevant current funded/awarded openings, if available. Position Overview: As a Data Scientist, you will work directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. You will primarily create and deploy predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods and other emerging technologies. Position Requirements: Required Clearance: Must have a IRS Public Trust w/a Full Background Investigation Required Education: Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,) Required Skills / Experience: * Exploring, cleaning, and wrangling data to provide value-added insights and identify business problems suitable for Data Science solutions * Experience across the spectrum of design, develop, test, and implement quantitative and qualitative Data Science solutions that are modular, maintainable, resilient to industry shifts, and platform-agnostic * Demonstrated experience using statistical and analytical software (including but not limited to Python, R, and SQL) * Analyzing events across government, financial industries, law enforcement, and other similar data environments prioritizing them by compliance and business risk and displaying the results in evidence-driven monitoring and decision support tools. * Experience in quantitative statistical approaches to anomaly detection to identify non-compliance risk, fraud, and cyber threats using data discovery, predictive analytics, trend analysis, assessment, and appropriate contemporary and emerging analytical techniques. * Ability to conduct rigorous quantitative data analysis on very large quantitative data sets to develop insights and develop actionable recommendations due to previous experience developing strategies, performing assessments, gap analyses, and making actionable recommendations * Contribute to meetings and discussions with clients and co-workers to refine understanding of the business problem at hand * Trying different predictive modeling approaches to identify the best fit for a given set of business understanding, available data, and project timeline * Writing modular, understandable, re-usable code within an iterative development process that includes team-based code review, client discussions, and end-user training * Applying statistical tests for robustness, sensitivity, and significance to test and validate supervised and unsupervised models * Preparing presentations, writing reports (technical and non-technical), and working to communicate technical results to clients with varying levels of analytic sophistication * Ability to work autonomously in a collaborative, dynamic, cross-functional environment * Demonstrated business savvy with solid interpersonal and communication skills (written and verbal). * Experience with design and delivery capabilities with proficiency in gathering requirements and translating business requirements into technical specification. Preferred Skills and Qualifications: * Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,) * 1+ years of experience in data science, data analytics, or a related technical field * Prior computer programming experience, preferably in a language such as Python or R * Experience with data exploration, data munging, data wrangling, and model development in R or Python * Experience using version control (e.g. git, svn, Mercurial) and collaborative Basic understanding of relational database structure and SQL * Humble and willing to learn, teach, and share ideas * Experience engaging and interacting with clients, stakeholders and subject matter experts (SMEs) to understand, gather and document requirements * Comfortable learning new things and working outside of your comfort zone * Technical mindset you are not afraid of math! * Must currently possess a Public Trust clearance * Travel to and work on-site at clients both local and non-local. Number of days at client site vary depending on project requirements. Desired Skills * Advanced degree (MS or PhD) in a relevant field (e.g., statistics, computer science, business, mathematics, analytics, data science, engineering, physics, social sciences, management information systems, or decision science, etc.,) * Programming techniques (e.g. pair programming, code reviews) * Experience with containerization and environment management (venv or conda) * Experience with Natural Language Processing (NLP) and advanced text mining techniques * Experience with graph analytics and network analysis * Experience with one or more technologies such as R Shiny, Databricks, AWS, Azure * Experience applying robust, established and emerging quantitative & statistical techniques, knowledgeable on the underlying theoretical and architectural frameworks in the fields of applied analytics, and statistical analysis to include: sampling considerations & survey design like construct validity, measurement bias, as well as internal & external validity, statistical weighting techniques, approaches to outlier and missing data, and exploratory data analysis, cross-sectional analysis, and longitudinal forecasting * Experience implementing data science processes in a remote, austere environment to include using bash * Experience with business intelligence and data visualization platforms (Power BI, Tableau, etc.,) * Understanding of the data analytics lifecycle (e.g. CRISP-DM) Why apply to this position at Elder Research? * Competitive Salary and Benefits * Important Work / Make a Difference supporting U.S. national security. * Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. * People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement.

Job Description Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives. This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing. RedRock is seeking a Data Scientist to join our team of diverse and qualified professionals. The role focuses on supporting the Sponsor's mission by delivering advanced language training to ensure proficiency across a broad spectrum of languages for the Sponsor's employees. Responsibilities: Works closely with the Sponsor to gather requirements and advise on AWS infrastructure design, development, and deployment of Cloud resources. Designs, tests, and implements log aggregation in support of Cloud and AWS systems. Designs, tests, and implements search and visualization infrastructure in support of AWS systems. Works with vendors to develop and deploy Cloud based solutions to the learning environment in AWS. Acts as a liaison between the Customer and Vendor Contacts to troubleshoot AWS when deploying new resources. Recommends new technologies for use in the cloud environment (AWS). Communicates IT requirements between management and technical entities. Qualifications: Experience in risk management and ability to identify project risks and facilitate the development and implementation of mitigation strategies Experience implementing and integrating AWS solutions. Experience in gathering requirements from vendor contacts and customers. Experience using Linux in the AWS environment. Experience with scripting and web programming technologies required to support web-based learning systems, such as PHP, PERL, Java, Jscript, or PowerShell. Experience deploying third party software products. Experience with Software Configuration Management (SCCM). Experience working with desktop and network hardware. Location: Herndon, VA Pay and Benefits: Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement. Commitment to Diversity: All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Every hour you save in the collection cycle is an hour the adversary doesn't get to move, hide, or change the picture. That's the difference between having intelligence when it matters and having it after it's too late. This is your chance to be a part of the National Geospatial-Intelligence Agency Source Office, directly supporting CENTCOM operations. You'll be building AI-powered tools that don't just analyze data, but initiate action. Your code will recommend complex collection strategies to Source Strategy Officers, trigger automated GEOINT collection without waiting for human approval, and get results into analysts' hands fast enough to change the outcome. You'll be integrating AI into real, operational systems-JEMA, GIMS, RemoteView, ArcPro, etc. and seeing exactly how your automation speeds up the fight of time. You'll watch the before-and-after difference your tools make and know you had a direct hand in changing the intelligence picture. If you've been waiting for the moment your AI actually drives how the U.S. collects intelligence, this is it. Join XTS today! Requirements You have a current active Top Secret / SCI clearance. You have achieved a Master's degree / Bachelor's degree + 2 years / Associate's degree + 3 years / 5+ years of relevant experience Advanced Python skills as you'll be writing automation and AI tools that have to run in live ops without failing. Experience with developing AI tools that can integrate with platforms like JEMA and GIMS to recommend mission-ready GEOINT collection strategies. If you're ready to see your code move faster than the adversary, shape decisions in real-time, and watch the difference you make in the fight for time, please send your resume directly to Lanchi Lai at [email protected] At XTS, we believe in taking care of our employees as much as we take care of our clients. As a veteran-owned company, we understand the importance of community, service, and fostering a culture where each team member can thrive. Our commitment to employee well-being is reflected in the comprehensive benefits and growth opportunities we offer. We offer tailored health care plans that fit your lifestyle, along with dental and vision coverage, paid time off (PTO), and a 401K with employer matching to secure your financial future. As we push forward in the rapidly evolving field of AI, XTS is committed to providing employees with tools and opportunities to stay ahead. We are proud to offer our GeoAI scholarship to help our employees further develop their skills and expertise in this cutting-edge field. We take pride in delivering elite workforces to the Intelligence Community, making a real-world impact on critical missions. Join us and experience a company that invests in your success and professional growth.

Kavaliro is seeking a Data Scientist to provide highly technical and in-depth data engineering support. MUST have experience with Python, PyTorch, Flask (knowledge at minimum with ability to quickly pickup), Familiarity with REST APIs (at minimum), Statistics background/experience, Basic understanding of NLP. Desired skills for a candidate include experience performance R&D with natural language processing, deploying CNN and LLMs or foundational models, deploying ML models on multimedia data, experience with Linux System Administration (or bash), experience with Android Configuration, experience in embedded systems (Raspberry Pi). Required Skills and Demonstrated Experience Demonstrated experience in Python, Javascript, and R. Demonstrated experience employing machine learning and deep learning modules such as Pandas, Scikit, Tensorflow, Pytorch. Demonstrated experience with statistical inference, as well as building and understanding predictive models, using machine learning methods. Demonstrated experience with large-scale text analytics. Desired Skills Demonstrated hands-on experience performing research or development with natural language processing and working with, deploying, and testing Convolutional Neural Networks (CNN), large-language models (LLMs) or foundational models. Demonstrated experience developing and deploying testing and verification methodologies to evaluate algorithm performance and identify strategies for improvement or optimization. Demonstrated experience deploying machine learning models on multimedia data, to include joint text, audio, video, hardware, and peripherals. Demonstrated experience with Linux System Administration and associated scripting languages (Bash) Demonstrated experience with Android configuration, software development, and interfacing. Demonstrated experience in embedded systems (Raspberry Pi) Develops and conducts independent testing and evaluation methods on research-grade algorithms in applicable fields. Reports results and provide documentation and guidance on working with the research-grade algorithms. Evaluates, Integrates and leverage internally-hosted data science tools. Customize research grade algorithms to be optimized for memory and computational efficiency through quantizing, trimming layers, or through custom methods Location: Reston, Virginia This position is onsite and there is no remote availability. Clearance: Active TS/SCI with Full Scope Polygraph Applicant MUST hold a permanent U.S. citizenship for this position in accordance with government contract requirements. Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.

Immediate need for a talented Senior Data Engineer. This is a 06+months contract opportunity with long-term potential and is located in Mclean, VA(Remote). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-84666 Pay Range: $64 - $68/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Demonstrate ability in implementing data warehouse solutions using modern data platforms such as Client, Databricks or Redshift. Build data integration solutions between transaction systems and analytics platforms. Expand data integration solutions to ingest data from internal and external sources and to further transform as per the business consumption needs. Develop tasks for a multitude of data patterns, e.g., real-time data integration, advanced analytics, machine learning, BI and reporting. Fundamental understanding of building of data products by data enrichment and ML. Act as a team player and share knowledge with the existing team members. Key Requirements and Technology Experience: Key skills; Python, AWS, SNOWFLAKE Bachelor's degree in computer science or a related field. Minimum 5 years of experience in building data driven solutions. At least 3 years of experience working with AWS services. Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. U.S. FinTech does not offer H-1B sponsorship for this position. Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL/ELT Tools. Strong scripting experience using Python and SQL. Working knowledge of foundational AWS compute, storage, networking and IAM. Understanding of Gen AI models, prompt engineering, RAG, fine tuning and pre-tuning will be a plus. Solid scripting experience in AWS using Lambda functions. Knowledge of CloudFormation template preferred. Hands-on experience with popular cloud-based data warehouse platforms such as Redshift and Client. Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services. Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions. Experience with one or more data integration tools such as Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc. Strong understanding of data security - authorization, authentication, encryption, and network security. Hands on experience in using and extending machine learning framework and libraries, e.g, scikit-learn, PyTorch, TensorFlow, XGBoost etc. preferred. Experience with AWS SageMaker family of services or similar tools to develop machine learning models preferred. Strong written and verbal communication skills to facilitate meetings and workshops to collect data, functional and technology requirements, document processes, data flows, gap analysis, and associated data to support data management/governance related efforts. Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures. Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, and consistently meet or exceed deadline deliverables. Strong understanding of the importance and benefits of good data quality, and the ability to champion results across functions. Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Purpose: We are seeking a highly skilled Cloud Data Engineer with deep expertise in Databricks and modern cloud platforms such as AWS, Azure, or GCP. This role is ideal for professionals who are passionate about building next-generation data platforms, optimizing complex data workflows, and enabling advanced analytics and AI in cloud-native environments. You'll have the opportunity to work with Fortune-500 organizations in data and analytics, helping them unlock the full potential of their data through innovative, scalable solutions. Key Result Areas and Activities: Design and implement robust, scalable data engineering solutions. Build and optimize data pipelines using Databricks, including serverless capabilities, Unity Catalog, and Mosaic AI. Collaborate with analytics and AI teams to enable real-time and batch data workflows. Support and improve cloud-native data platforms (AWS, Azure, GCP). Ensure adherence to best practices in data modeling, warehousing, and governance. Contribute to automation of data workflows using CI/CD, DevOps, or DataOps practices. Implement and maintain workflow orchestration tools like Apache Airflow and dbt. Roles & Responsibilities Essential Skills 4+ years of experience in data engineering with a focus on scalable solutions. Strong hands-on experience with Databricks in a cloud environment. Proficiency in Spark and Python for data processing. Solid understanding of data modeling, data warehousing, and architecture principles. Experience working with at least one major cloud provider (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and data workflow automation. Desirable Skills Direct experience with Unity Catalog and Mosaic AI within Databricks. Working knowledge of DevOps/DataOps principles in a data engineering context. Exposure to Apache Airflow, dbt, and modern data orchestration frameworks. Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field. Relevant certifications in cloud platforms (AWS/Azure/GCP) or Databricks are a plus. Qualities: Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work seamlessly with clients across multiple geographies Research focused mindset Excellent analytical, presentation, reporting, documentation and interactive skills "Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."

Falconwood is a woman-owned, veteran-owned company providing consultation and programmatic support to Department of Defense Information Technology (IT) initiatives and programs. We provide expert advice and consultation on a diverse range of IT subjects, focusing on acquisition, policy, cybersecurity, engineering, and process development. The Data Scientist II will be responsible for the design, development, and implementation of data-driven tools and technologies supporting the Commander, Naval Information Forces (NAVIFOR) N6 Directorate, with a focus on delivering actionable insights across the Information Warfare enterprise. Responsibilities This position supports strategic data engineering and analytics across NAVIFOR's enterprise environment, contributing to Navy data strategy implementation. The candidate will support data pipeline design, analytics tool development, and the integration of insights into mission workflows. This is a hybrid position based in Suffolk, VA, with limited travel anticipated. Responsibilities: Support system design and implementation of analytics tools for NAVIFOR's Command Data Office (CDO) Develop and maintain advanced data systems, platforms, and services in support of NAVIFOR's data strategy Assist in the integration of Navy data systems into cloud platforms and enterprise-wide analytics environments Apply statistical techniques and machine learning to support descriptive, diagnostic, and predictive analytics Build and manage tools for data transformation, visualization, and pipeline automation Support DON/DOD enterprise cloud integration and NAVIFOR performance measurement initiatives Translate user needs into requirements for dashboarding, analytic reports, and model development Collaborate across the IW domain to capture, structure, and analyze large-scale data from multiple Navy sources Qualifications Education: Bachelor of Science in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics, or a related discipline Experience: Minimum 5 years of experience developing software and databases using modern analytics frameworks and tools Clearance: Active Secret Clearance required Technical Skills: Proficiency in Python, R, SQL, and data visualization platforms (e.g., Power BI, Tableau) Familiarity with Navy data platforms, workflows, and enterprise analytics environments Experience with tools such as Jupyter, Jama Connect, Confluence, or similar collaboration environments The candidate must be: Capable of performing effectively individually and as part of a team Have critical thinking and problem-solving skills Self-motivated and able to successfully deliver with minimal supervision Proficient in Microsoft Office Suite Pay Range Base pay is $120,000-$130,000, subject to skill level, qualifications, and location. Benefits Highlights: 401k, Tuition Reimbursement, Health/Dental/Vision Insurance, PTO, Federal Holidays, Performance Increases, Reserve Duty Compensation and more!

Job Title: DATA SCIENTIST Workplace: Hybrid Clearance Required: MUST HAVE AN ACTIVE SECRET CLEARANCE Requisition Type: Pipeline this is not a current opening but rather a talent pipeline for Data Scientists of all levels with active clearances interested in supporting the U.S. Government. When new cleared Data Scientist positions become available, this talent community will be the first place our recruiters look to fill the roles. Candidates with profiles in this talent community can also expect to receive regular updates on relevant new job opportunities. Be sure to also apply to any relevant current funded/awarded openings, if available. Position Overview: AI / Analytics Platform Data Scientists are responsible for leveraging AI and data analytics to detect, prevent, and investigate fraud and other crimes. Their job responsibilities include: Develop and implement predictive models and machine learning algorithms to identify patterns. Use AI/analytics platforms to analyze complex and large volumes of data from various sources to identify potential fraudulent activities. Apply graph data science techniques to uncover hidden relationships and detect fraudulent networks. Utilize Neo4j and other graph databases to model complex relationships in fraud/criminal investigations. Develop fraud detection models leveraging network analytics, link prediction, and anomaly detection in transaction data. Collaborate with law enforcement, regulatory bodies, and other stakeholders to understand their data needs and translate them into data science projects. Communicate complex quantitative analyses in a clear, precise, and actionable manner to non-technical stakeholders. Keep abreast of the latest developments in AI, machine learning, and data science. Ensure the proper implementation of data privacy regulations and best practices in data security within all AI and analytics projects. Participate in the development of strategies and policies related to crime prevention and detection. Assist in preparing reports and presentations for senior management and other stakeholders. Position Requirements: Python (Jupyter Notebook) AI/ML models for NLP Entity Resolution Link Analysis Graph data science and Neo4j for fraud detection and AML Data visualization and modeling Clearance Required: Current Secret required Must reside in the DC Metro area and be able to attend regularly scheduled in-person meetings Required Education: Bachelor s Degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) with 3-6 years of relevant work experience. Or, a Master s Degree with 2+ years of relevant work experience Preferred Skills and Qualifications: AWS foundational technologies GenAI technologies About Elder Research, Inc People Centered. Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives. This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing. RedRock is seeking a Data Scientist to join our team of diverse and qualified professionals. The role focuses on supporting the Sponsor's mission by delivering advanced language training to ensure proficiency across a broad spectrum of languages for the Sponsor's employees. Responsibilities: Works closely with the Sponsor to gather requirements and advise on AWS infrastructure design, development, and deployment of Cloud resources. Designs, tests, and implements log aggregation in support of Cloud and AWS systems. Designs, tests, and implements search and visualization infrastructure in support of AWS systems. Works with vendors to develop and deploy Cloud based solutions to the learning environment in AWS. Acts as a liaison between the Customer and Vendor Contacts to troubleshoot AWS when deploying new resources. Recommends new technologies for use in the cloud environment (AWS). Communicates IT requirements between management and technical entities. Qualifications: Experience in risk management and ability to identify project risks and facilitate the development and implementation of mitigation strategies Experience implementing and integrating AWS solutions. Experience in gathering requirements from vendor contacts and customers. Experience using Linux in the AWS environment. Experience with scripting and web programming technologies required to support web-based learning systems, such as PHP, PERL, Java, Jscript, or PowerShell. Experience deploying third party software products. Experience with Software Configuration Management (SCCM). Experience working with desktop and network hardware. Location: Herndon, VA Pay and Benefits: Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement. Commitment to Diversity: All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Kavaliro is seeking a Zero Trust Security Architect / Data Engineer to support a mission-critical program by integrating secure architecture principles, strengthening data security, and advancing Zero Trust initiatives across the enterprise. Key Responsibilities Develop and implement program protection planning, including IT supply chain security, anti-tampering methods, and risk management aligned to DoD Zero Trust Architecture. Apply secure system design tools, automated analysis methods, and architectural frameworks to build resilient, least-privilege, continuously monitored environments. Integrate Zero Trust Data Pillar capabilities-data labeling, tagging, classification, encryption at rest/in transit, access policy definition, monitoring, and auditing. Analyze and interpret data from multiple structured and unstructured sources to support decision-making and identify anomalies or vulnerabilities. Assess cybersecurity principles, threats, and vulnerabilities impacting enterprise data systems, including risks such as corruption, exfiltration, and denial-of-service. Support systems engineering activities, ensuring secure integration of technologies and alignment with Zero Trust operational objectives. Design and maintain secure network architectures that balance security controls, mission requirements, and operational tradeoffs. Generate queries, algorithms, and reports to evaluate data structures, identify patterns, and improve system integrity and performance. Ensure compliance with organizational cybersecurity requirements, particularly confidentiality, integrity, availability, authentication, and non-repudiation. Evaluate impacts of cybersecurity lapses and implement safeguards to protect mission-critical data systems. Structure, format, and present data effectively across tools, dashboards, and reporting platforms. Maintain knowledge of enterprise information security architecture and database systems to support secure data flow and system design. Requirements Active TS/SCI security clearance (required). Deep knowledge of Zero Trust principles (never trust, always verify; explicit authentication; least privilege; continuous monitoring). Experience with program protection planning, IT supply chain risk management, and anti-tampering techniques. Strong understanding of cybersecurity principles, CIA triad requirements, and data-focused threats (corruption, exfiltration, denial-of-service). Proficiency in secure system design, automated systems analysis tools, and systems engineering processes. Ability to work with structured and unstructured data, including developing queries, algorithms, and analytical reports. Knowledge of database systems, enterprise information security architecture, and data structuring/presentation techniques. Understanding of network design processes, security tradeoffs, and enterprise architecture integration. Strong ability to interpret data from multiple tools to support security decision-making. Familiarity with impacts of cybersecurity lapses on data systems and operational environments. Kavaliro is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.