Data engineer jobs in Virginia

TECHEAD is celebrating over thirty-five years of incredible heritage, talent, and accomplishments! To learn more about TECHEAD, visit us at TECHEAD.com or on Glassdoor. AI Engineer Direct - Hire 100% onsite Local Candidates Only Richmond, VA Start Date: November 2025 No C2C Candidates! ESSENTIAL FUNCTIONS 60% Development: Design, develop, and implement AI and machine learning models for a variety of business applications, including data analysis, predictive modeling, and automation. Collaborate with data scientists and software engineers to integrate AI solutions into existing systems and platforms. Ensure the scalability and performance of AI models by optimizing algorithms and utilizing cloud infrastructure. Document and communicate the results, performance, and limitations of AI models to non-technical stakeholders. Stay up to date with the latest AI research papers, industry trends, and tools to drive continuous improvement of AI processes. 20% Continuous Improvement: Conduct thorough research on the latest AI technologies, trends, and best practices to ensure the company stays at the forefront of AI advancements. Implement and maintain machine learning pipelines, from data preprocessing to model deployment. Troubleshoot and resolve issues related to AI models, ensuring they meet the desired accuracy and performance standards. 20% of Leadership and Relationships: Collaborate with business leaders and stakeholders to understand specific AI use cases and requirements, translating these into actionable solutions. Provide technical guidance and support to junior team members, helping them grow their skills in AI technologies. TOP REQUIREMENTS Strong communications Critical Thinking Extensive experience with Cloud Platforms Strong foundation in math and statistics MINIMUM REQUIREMENTS Preferred Certifications: Google Cloud Professional Data Engineer Microsoft Certified: Azure AI Engineer Associate TensorFlow Developer Certificate AWS Certified Machine Learning - Specialty Work Experience: Minimum of 3 years of experience in AI/ML development or similar roles. Proven experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn. Strong background in programming languages like Python, Java, or C++. Experience with big data tools and technologies (e.g., Hadoop, Spark). Experience with automating AI model training, deployment pipelines, and optimization processes. Behavioral Competencies: Ability to analyze complex technical issues and create effective solutions. Ability to work cross-functionally with engineers, data scientists, and product teams. Strong verbal and written communication skills for conveying technical concepts to non-technical stakeholders. Open to new approaches and rapidly changing environments. Technical Competencies: Strong understanding of supervised and unsupervised learning techniques, deep learning, reinforcement learning, and NLP. Experience in data preprocessing, feature extraction, and transforming raw data into usable formats. Knowledge of cloud platforms (AWS, Azure, GCP) and experience in deploying AI models on cloud. Proficient in software development practices, version control (Git), and testing frameworks. Strong foundation in statistics, linear algebra, and probability, which are fundamental for AI algorithms. Required Education: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. Preferred Education: Master's or Ph.D. in Artificial Intelligence, Machine Learning, Data Science, or a related advanced field. TECHEAD's mission is to make our on-site associates successful by placing them in the right environment so they can grow and prosper. How we treat and respond to our clients and employees is a reflection of who we are and makes us stand out from the rest. Keeping our business focused on building and maintaining relationships with our employees and clients is the key to our success. We won't strive for anything less. TECHEAD provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. For more information on TECHEAD please visit **************** No second parties will be accepted.

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.

Background Information: Innovative Defense Technologies(IDT), provider of cutting-edge cloud-based integration, automated testing and data analysis for complex, mission-critical systems in the US Department of Defense (DOD), is seeking a Data Scientist/AI Engineer to be based in our Arlington, VA or Mount Laurel, NJ office. Leveraging advanced software automation, model-based systems engineering (MBSE), and AI-driven capabilities, IDT accelerates capability development, enhances operational readiness, and reduces lifecycle costs for the Department of Defense. The company is dedicated to transforming defense systems through innovation, efficiency, and mission-critical results. Overview: The Data Scientist position offers an engineer the opportunity to showcase their knowledge and talents as part of a collaborative team developing innovative AI and Data Analysis solutions for Innovative Defense Technologies. The responsibilities of this role include leading and supporting feasibility studies, building capabilities to discover explanatory features in high-dimensionality datasets, and developing and integrating state-of-the-art AI/ML solutions to support mission-critical software capabilities. All applicants must be able to obtain/maintain an active U.S. Security Clearance. Responsibilities Include: * Develop solutions to deliver analytical and AI/ML capabilities from problem formulation to a productized, deployable, maintainable capability * Leverage state-of-the-art theory and technologies to solve complex problems * Establish and leverage Big Data frameworks to store, extract and analyze relevant data * Develop software solutions by understanding customer requirements and program intent * Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions * Be responsible for solutions that meet software design, quality, and performance requirements * Work with minimal supervision in a collaborative work environment to implement best-in-class solutions Minimum Required Qualifications: * Bachelor's Degree in Statistics, Data Science, Computer Science, Math, or a quantitative field required; Master's Degree in Data Science or other technical field highly preferred * 3+ years of experience in predictive modeling, data science and analysis Required Skills: * Previous experience in a ML or data scientist role and a track record of building ML and Data Science capabilities * Experience working with data mining and ML algorithms including decision trees, probability networks, association rules, clustering, and neural networks * Experience in and knowledge of mathematical optimization techniques, non-linear programming, evolutionary and biologically-inspired optimization algorithms * In-depth understanding and knowledge of statistical analysis, sampling, statistical learning theory, and Design of Experiments (DOE) * Strong proficiency in Python * Experience using ML libraries, such as scikit-learn, PyTorch, Keras, etc. * Knowledge of data and information visualization principles and experience using related tools Preferred Skills: * Strong software engineering background * Skills with other programming languages, such as Julia, Java or C/C++ * Demonstrated ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations * Experience with application container platforms * Familiarity with continuous integration/delivery tools (e.g. Jenkins) * Familiarity with version control tools (e.g. Subversion, Git, etc.) * Familiarity with VMware or other virtualization software * Experience developing applications for DOD command and control systems * Familiarity with Large Language Models (LLM) and LLM parameter tuning * Familiarity with network science and graph theory Competencies: * Solid analytical abilities, coupled with a strong sense of ownership, urgency, and drive * Attention to detail * Strong sense of intellectual curiosity and desire to learn * Initiative, creativity, reliability, teamwork * Ability to deal well with ambiguity, prioritize needs, and deliver results in a dynamic environment Price range: $90,000 - $150,000 or $114,000 - $184,000 * Pursuant to New Jersey Senate Bill 2310, IDT is required to disclose the "pay scale" or "pay range" associated with a job posting. Notably, however, this amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate's experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. Click here for additional information about New Jersey Senate Bill 2310. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience. EEO Statement: IDT is an Equal Opportunity employer.

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.

Data Scientist Clearance Required: TS/SCI with Polygraph Requisition Type: Pipeline this is not a current opening but rather a talent pipeline for Data Scientists of all levels with polygraph clearances interested in supporting the U.S. Intelligence Community. 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 Responsibilities: We are seeking talented and motivated Data Scientists with expertise in machine learning, statistical analysis, and artificial intelligence to join our team. In these roles, you will be responsible for developing advanced algorithms and data-driven solutions that address complex challenges. As a Data Scientist, you will: * Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze large and complex datasets. * Prototype and evaluate multiple algorithms, selecting the final model based on rigorous performance metrics. * Design and execute experiments or create models to generate data when training datasets are unavailable. * Generate reports and visualizations that provide actionable insights and summarize data findings for clients. * Translate complex data analysis into clear, actionable recommendations. * Collaborate with subject matter experts to automate manual data analysis processes and integrate analytics into production frameworks. * Apply expert knowledge in data science to deliver solutions that address clients' business needs. * Conduct assessments of clients' preparedness to integrate data analytics into their operations, including technical, cultural, and workforce aspects. * Stay current with emerging tools and techniques in machine learning, statistical modeling, and data analytics to continuously improve the quality of your work. * This role requires a self-driven individual capable of working under minimal supervision, with a strong ability to translate raw data into concise and actionable insights. You will work closely with clients, managers, and technical staff to understand business needs and deliver effective, data-driven solutions that enhance decision-making and operational effectiveness. Required Degree and Experience: * Educational Background: * Bachelors Degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) with 1-2+ years of relevant work experience. * Or, a Masters Degree with 1+ years of relevant work experience. * Or, a PhD with 0+ years of relevant work experience. * Relevant Experience: * Experience in applied research, big data analytics, statistics, data science, computer science, operations research, machine learning, or related quantitative disciplines. Required Skills: * Programming & Data Analysis: * Proficiency with data analysis tools and programming languages such as R, Python, SAS, MATLAB, Java, C++, or SQL. * Experience in developing experiments to collect or simulate data when required data is unavailable. * Ability to develop feature vectors for machine learning algorithms and identify, tune, and evaluate the most appropriate algorithms. * Machine Learning & Statistical Analysis: * Knowledge of machine learning, statistical modeling, and data wrangling. * Experience in developing, training, and validating machine learning models. * Ability to develop data-driven solutions, data models, and visualizations. * Advanced Analytics & Big Data: * Proficiency with big data technologies such as AWS, Azure, NoSQL databases (e.g., MongoDB, DynamoDB, Redis), Hadoop, or Spark. * Familiarity with cloud-based distributed database technologies like Databricks and tools like PySpark. * Communication & Collaboration: * Strong ability to communicate complex models and concepts to non-technical stakeholders. * Comfortable working and collaborating in dynamic environments. Required Clearance: * Active TS/SCI clearance with a Polygraph Desired Skills: * Familiarity with relational databases (e.g., Oracle, PostgreSQL). * Proficiency with unsupervised, semi-supervised, and supervised learning algorithms and technologies. * Understanding of the data science lifecycle (e.g., CRISP-DM). * Some positions may desire experience in applying AI/ML techniques to solve cybersecurity challenges. * Some positions may desire experience applying data science methods to cybersecurity problems. * Some position may prefer a Security+ certification. * Capable of building models for deployment in real-time environments and supporting the cybersecurity mission space. * Strong background in developing predictive models and quantitative simulations. * Experience in consulting, including organizational and technology assessments. Work Schedule: * Ability to work on-site for 36-40 hours during a typical week. Travel: less than 10% 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. * Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.

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.

TekWissen's, Staffing division is a recruitment-centric organization focused on providing talent acquisition services (both IT and non-IT) in the Technology, Engineering, Clinical, Legal, Scientific, Finance, Marketing, Professional and Payroll Management arenas to clients across the US, and India. Founded in 2009, TekWissen is one of the fastest growing Staffing firm in United States. We have been recognized by Inc. 5000 fastest growing companies in USA with ranking # 192, #15 Top IT Service Company in 2014 by Inc.com, #6 Top Michigan Companies in 2014 again by Inc.com, Michigan 50 Companies to Watch in 2014, FastTrack Award for 2014. Position :Informatica Architect with MDM experience Location: Herndon, VA Duration :Contract-long-term & Full time Required Skills: • Strong hands on Informatica 9.x/9.5/9.6 experience in architecting, engineering, performance/capacity engg, deployment standards in production, product integration, product support, overall fitment(product usage), sizing and setting up Informatica Environments. • Experience with integrating metadata, etl processes and testing environments. • Hands-on experience in platform configuration, code development, best practices, design patterns and use cases of MDM, Data Virtualization, Data Services, Proactive Monitoring, Data Exchange, Data transformation, Persistent data masking, Test data management, Power exchange and Power Center. • Hands-on experience in configuration, design and development of large scale ETL and Enterprise Data Warehouse applications. • Hands-on Informatica process Automation experience using Perl and unix shell scripting. • Experience with XML, Web service development • Strong understanding of Oracle database, SQL optimization, SOA concepts, design patterns, tools, techniques and best practices. • Strong ability to understand, document and communicate technical architectures, best practices, toolsets and solutions. • Candidates should have experience with production support. • ESB's such as MQ/JMS or Tibco EMS are nice to have skills. • Familiarity with Informatica Connectors, Core DW infrastructure and experience with appliance such as Teradata, Netezza and Exadata would be a big plus. Additional Information If you are comfortable with the above job description & the Qualifications... Share you updated resume with your basic contact information... So that we can discuss about the position more... Thanks & Regards, Venkat TEkWISSEN LLC *************************** ************

About Us: Endurance IT Services provides Managed IT Services, Cybersecurity Solutions, and IT Consulting to help businesses stay secure and productive. We also offer IT Staffing for Direct -Hire, Contract -to -Hire, and Contract roles, plus internal full -time positions. Note: Some opportunities may not be exclusive and can change as we work with clients but our goal is always to help candidates find the right job. We are hiring on behalf of our client for a strategic technology consultant to lead a four -month engagement focused on evaluating and optimizing their sales forecasting infrastructure. This project is critical to shaping the client's future forecasting capabilities and delivering actionable insights for executive decision -making. Responsibilities Conduct a comprehensive analysis of two forecasting systems: Adaptive Workday (commercial solution) In -house Python -based system Validate forecasting accuracy and benchmark performance. Perform code -level audits of Python scripts for integrity and efficiency. Assess scalability, customization potential, and long -term viability. Deliver an executive -ready report with ROI analysis and strategic recommendations. Qualifications: Strong expertise in data science, forecasting models, and Python programming. Experience with system evaluation, performance benchmarking, and optimization. Ability to conduct technical audits and provide strategic recommendations. Excellent communication skills for delivering executive -level reports. Preferred Qualifications Familiarity with Adaptive Workday or similar forecasting tools. Background in sales analytics, business intelligence, or financial modeling. Experience in ROI analysis and presenting findings to senior leadership. Knowledge of cloud -based forecasting solutions and scalability best practices.

MI Technical Solutions is a Woman-Owned Small Business (WOSB) comprised of a broad range of talented employees that provide diversified engineering and technical support services since 2004! Our team works tirelessly to build a respected, results-oriented brand. We are headquartered in Chesapeake, VA with employees located near each of the Navy Fleet Centers within the continental United States (San Diego, Jacksonville, Seattle, New England, Norfolk) as well as Hawaii and Japan. Position Description: MI Technical Solutions is seeking a Data Scientist to join its team. In this role, the Data Scientist is responsible for gathering and analyzing data, organizing, and documenting findings of studies, and preparing recommendations for implementing new systems, procedures, or organizational changes. Responsibilities: • Provide senior level oral and written communication skills to effectively communicate with higher command levels (GS-15, O-6 level) orally and in writing. • Provide support using Naval data sources and repositories, Ship Maintenance databases, Shipyard databases, and Ship Supply databases. • Provide advanced experience related to importing daily/weekly/monthly data sources, running pre-programmed macros, and relaying issues experienced to the development team. • Provide advanced experience working with data visualization tools. • Validate outputs from Data Visualization tools (such as Tableau and Advana Databricks) with the raw data source. • Gather and analyze data, organize, and document findings of studies, and prepare recommendations for implementing new systems, procedures, or organizational changes. • Collate information into meaningful reports and presentation material. • Metamorphose raw data into viable and readable formats for display, and decision utilization by leadership. • Design, build, test, blend, manage, and optimize all types of relevant data utilizing numerous sources, some described above. • Use statistical analysis and other data science methodologies to identify patterns, trends, and insights within data sets. Proficiency in coding languages is essential to this role utilizing common programming languages including, but not limited to, Python and R. Requirements: • DoD Secret Clearance • Bachelor's degree in Computer or Data Science • Minimum of 5 or more years' experience in the use of data visualization software and advanced ability in utilizing common programming languages to include Python and R • Minimum of 5 or more years' experience handling project planning and scheduling data such as with Microsoft Project or other schedule management tools • Minimum of 5 or more years' experience with Microsoft Products, including Word, Excel, Outlook, and PowerPoint • Minimum of 5 years' experience monitoring the operation of assigned programs, collected data, and responds to problems by diagnosing and correcting errors in logic and coding • Minimum of 5 years' experience in providing a full range of data science methodologies to produce meaning insight from numerous and diverse data sources • Effective writing, speaking, and analytical skills We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Develop company A/B testing framework and test model quality. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Qualifications for Data Scientist

Requirements Education Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required. Primary Responsibilities Engage in developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders. To succeed in this position; you need to be curious, creative, and tech-savvy. You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms. You must be persistent and have excellent analytical and problem-solving skills. Devise strategies for extracting semantic value from large datasets. Develop conclusions from data using mathematics, statistics, computer science, and application specific knowledge and concisely communicate these conclusions. Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations. Required Skills/Experience Experience with SQL databases and data models (e.g., PostgreSQL , Amazon Aurora) Experience with programming in R, Python, Java Experience with NoSQL databases ( e.g., MongoDB, Accumulo) Experience designing data models and approaches Experience working in a cloud environment ( e.g., AWS, Azure) Experience with Linux Excellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levels Ability to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environment Desired Skills/Experience Experience with programming in TensorFlow, PyTorch Experience with Hadoop, MapReduce Experience with Tableau Experience with Cognos Experience with designing, implementing, and using REST APIs Experience with RDF/OWL, SPARQL, and Semantic Web technologies Experience with Statistical and ML analytics and modeling (e.g., R, Spark, etc.) or other deep learning frameworks a plus Experience with Data catalogs and data management Ability to help visualize the data for analysis and to display results Why You Might Like This Job: You're tired of working for a massive organization. You want to work for an established company that values your stable career. You want to work with a team who loves their job and making cool stuff. You want to be part of a team focused on making a positive impact. You want to grow your skills in management or work toward becoming an expert. You want to have the option for career mentorship, both in technology and in business. You value a company with a strong culture of growth and support. Benefits: Employee Impact Program. Every employee has the opportunity to define and get rewarded for their contributions they can make toward the long-term health of the company, customer, and employee. This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite flexibility while ensuring both company, customer, and individual health and prosperity. Comprehensive time off and leave programs: 31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdays Parental Leave: 40 Hours Bereavement Leave: 24 hours. Military Reserve Leave (up to 80 hours, see employee handbook for details). Jury Duty Leave 16 hours. Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximum Health Insurance (Medical, Dental, Vision): Premium is 100% company paid (contact us for specific plan details). Health Savings Account (HSA): Interclypse contributes $750 for individuals and $1500 for families Vision Insurance Dental Insurance includes orthodontics coverage Life Insurance Accidental Death and Dismemberment Insurance Disability: Short-term and long-term disability coverage Educational support: reimbursement up to the federal max of $5,250 Company apparel: $200 for company apparel each year Social events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and more Interclypse isn't your typical company. We strive to have a positive & transformational impact on our community, our industry, and individuals. We keep this focus through our motto: "Doing What is Right". Apply today to see how you can join our winning team and start down the career path that's right for you! EOE AA M/F/Vet/Disability: Interclypse is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate's experience and education/training, internal peer equity, and market and business consideration.

McBride has an exciting opportunity to support Allied Command Transformation (ACT) which is NATO's leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are: providing appropriate support to NATO missions and operations; leading NATO military transformation; improving relationships, interaction and practical cooperation with partners, nations and international organizations. ACT therefore leads Alliance concept development, capability development, training and lessons learned initiatives and provides unfettered military support to policy development within NATO. You will be responsible for the following: Contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and across the NATO Enterprise, with a specific focus on scalable data engineering and software systems to support AI initiatives. Design, develop, and maintain robust data pipelines and architectures to manage the ingestion, transformation, and processing of structured and unstructured data for large Language Model (LLM)-based applications and other AI systems. Lead efforts to optimize data delivery and automate data engineering processes, proposing enhancements to infrastructure to improve scalability, efficiency, and reliability in support of LLM deployments. Build API-based infrastructure and frameworks that enable seamless integration of LLMs and ML models with operational systems, ensuring performance, security, and interoperability with NATO environments. Support the development, testing, and validation of microservices and containerized applications to operationalize AI/ML capabilities, including deployment of LLM use cases within NATO. Implement distributed data storage and processing systems (e.g., cloud-based or hybrid architectures) that align with NATO standards and enable scalable use of LLMs across the enterprise. Develop tools and systems to improve data accessibility, enabling data scientists and analysts to efficiently interact with and query data for training, inference, and analytics. Coordinate with data scientists, software engineers, and system architects to align data engineering workflows with broader AI/ML objectives, ensuring timely delivery of clean, high-quality data for LLM training and inference. Establish mechanisms for real-time data processing and streaming, enabling LLMs to operate effectively in dynamic and responsive applications, such as operational decision support or strategic analysis. Conduct preprocessing, cleansing, and transformation of raw data into formats optimized for training, fine-tuning, and inference within LLM infrastructure. Implement robust monitoring, logging, and performance optimization tools for data pipelines and APIs, ensuring reliability and traceability of LLM-enabled workflows. Collaborate with teams to support federated learning approaches and cross-domain data sharing, ensuring compliance with NATO data sovereignty, security, and ethical guidelines. Provide subject matter expertise on data engineering and software development to (military and civilian) staff within HQ SACT or the NATO Enterprise, and develop proofs of concept for LLM-based applications as directed. Research, recommend, and implement best practices for deploying LLMs in secure, cloud-based environments such as Microsoft Azure or AWS, while considering NATO- specific data policies and standards. Evaluate operational requirements and objectives, recommending appropriate engineering solutions for integrating LLMs into NATO workflows and systems. Stay abreast of new developments in AI engineering, including innovations in LLM technologies, data architectures, distributed computing, and API development, to bring cutting-edge capabilities into implementation within NATO. Provide technical training and mentoring to NATO staff, supporting educational efforts in AI engineering, data pipeline design, API development, and digital literacy. Foster a culture of innovation and data-driven decision-making across NATO by building scalable systems that enable the effective exploitation of LLMs and advanced analytics. Perform additional tasks as required by the Contracting Officer's Technical Representative (COTR) related to the LABOR category. Requirements Desired Qualifications: Experience leveraging open-source frameworks and publicly available datasets to develop innovative AI and data engineering solutions for operational or analytical use cases. Proficiency in presenting data-driven insights clearly to non-technical audiences, showcasing an ability to craft compelling narratives and actionable recommendations for senior leadership. Understanding of military staff workflows and processes, alongside familiarity with federated learning techniques for enabling secure collaboration across NATO nations while preserving sovereignty of sensitive datasets. Exposure to agile project management methods and tools (e.g., Loop, JIRA, Trello) for coordinating and tracking progress across multi-disciplinary AI/ML projects. Exposure to cross-domain data sharing and API-driven interoperability, ensuring effective integration across systems while adhering to security and ethical guidelines within military or international environments. Familiarity with principles of ethical AI development, including considerations for bias mitigation, responsible data handling, and alignment with NATO's ethical frameworks for AI deployment. Mandatory Qualifications: Minimum 4 years of proven work experience as a Data Scientist, Machine Learning Engineer, Data Engineer, or Software Engineer, with a strong emphasis on distributed systems, cloud- based architectures, developing operational AI/ML solutions, and designing API-based infrastructures, microservices architectures, and containerized applications (e.g., Docker, Kubernetes). Demonstrated experience working with GenAI , in particular LLMs, including preprocessing data, fine-tuning, and deployment in secure and scalable environments to include AI/ML frameworks such as TensorFlow, PyTorch , or scikit-learn. Proven expertise in programming languages such as Python, Java, or Scala, with demonstrated experience in software engineering practices (e.g., version control, CI/CD pipelines, containerization). Experience building and optimizing data pipelines, ETL processes, and real-time streaming solutions using tools like Apache Airflow, Kafka, Spark, or equivalent. Knowledge of applied AI principles, particularly in implementing AI systems for operational decision support and analyzing unstructured data (e.g., text, imagery). Ability to architect and maintain scalable data lakes, data warehouses, or distributed storage systems (e.g., Delta Lake, Snowflake, Hadoop, or NoSQL solutions). Demonstrated understanding of data security, privacy, and sovereignty issues, particularly in military or international environments, ensuring compliance with NATO operational and ethical standards. Experience building visually impactful reports, dashboards, and analytics using tools such as Tableau, MS Power BI, or Kibana, supporting informed decision-making for high-level stakeholders. Professional experience in NATO environments or familiarity with NATO processes, organizational culture, and decision-making structures. Ability to translate operational problems into practical AI/ML solutions tailored for military and civilian teams. Proven ability to collaborate effectively within multidisciplinary teams, including coordinating with data scientists, software engineers, and system architects on cross-functional projects. Strong oral and written communication skills, with the ability to brief non-technical audiences and mentor staff in AI engineering, data science, and software development concepts. Benefits For U.S. residents only: 401(k) Dental insurance Health insurance Life insurance Paid time off Professional development assistance Referral program Vision insurance

Requirements Education: Bachelor's degree in IT Management, Engineering, Computer Science, Information Systems, Business Management, or a related discipline. Experience: Minimum of five (5) years of experience with: SharePoint tools, workflow development, and site customization. Site and server security management. Problem-solving and troubleshooting SharePoint-related issues. Effective verbal and written communication. Certifications: Certified Business Intelligence Professional (CBIP) - required. Security Clearance: Active DoD SECRET clearance at the time of hire and throughout employment.

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Job Description Location: McLean, VA 22102 Duration: 6+ months (could go beyond) Description: • The candidate for this position will provide analytical support to the Data Science Division in the Cyber, Cloud and Data Science Service line. • The successful candidate will support the enterprise through designing solutions for data collection, preparation, and model building to develop end-to-end analytic lifecycles to synthesize actionable information. • The candidate will determine appropriate tools and methods for specific projects to design the analytics solution either as a standalone system, or an analytics embedded inside and overall solution. • The candidate will be working in teams that include enterprise architects, intelligence analysts, data and visualization experts, software developers, and system engineers, and will have an excellent opportunity to broaden skills. • The candidate must have experience in developing and deploying solutions for customers. Applicant must have skills applicable to one or more of the following areas: • Data wrangling, cleansing, and analytics • The data science process • Presenting work to both technical and non-technical audiences • Statistical evaluation • Machine Learning, Predictive Modeling Qualifications Applicant should have skills in one or more of the following areas: • Machine Learning Technologies, such as Natural Language Processing (NLP) - e.g., Jaro-Winkler, Damerau- Levenshtein, Metaphone, string manipulation, etc. • Natural Language Processing (NLP) - e.g., Jaro-Winkler, Damerau- Levenshtein, Metaphone, string manipulation, etc. • R libraries: base, MASS, plyr, rpart, random Forest, maps/mapproj/rworldmap, zoo, adabag, animation, ggplot, igraph, jsonlite, mclust, pROC, hexbin • Python libraries: numpy, scipy, matplotlib, scikit-learn,etc • SPSS, Oracle Data Miner, SAS Base, DataMiner, Dataflux, STAT • Entity Resolution - Basis Technology Rosette Name Indexer (RNI), Global Name Recognition (GNR), Probabilistic Matching Engine, Trillium Software (TS) Quality • Apache Hadoop 2.x, MapReduce, Elastic Search 1.4.x, Sqoop, Pig • Familiar with Libraries: such as ATS SSO, ATS-common framework, Highchart, jersey, jtidy, one2team, iText, Spring/Spring STS, JSON, Network Markov Clustering, Topic Modeling Tool, Naïve Bayes, Apache Commons, Google's Guava, Apache Log4j, Open CSV, SecondString • Working in interdisciplinary teams. Additional Information To discuss on this in more detail, Please contact: Himanshu Prajapat ********************************** ************

Job DescriptionDescription: Client Solution Architects (CSA) is currently seeking a Data Engineer Lead to support a program in the Norfolk, Virginia area. For nearly 50 years, CSA has delivered integrated technology and operational support services to meet the defense and federal sector's most complex enterprise needs. Working from operations centers and shipyards to training sites and program offices, CSA deploys experienced teams, innovative tools and proven processes to advance federal missions. CSA Global Inc. is seeking a Data Engineer and Team Lead to enable secure, reliable, and scalable data solutions that directly impact J35S Global Force Management (GFM) systems and technology. The selected candidate will design and maintain enterprise-grade extract, transfer, load (ETL) pipelines, performing advanced data integration, cleaning, and transformation to ensure accuracy and compliance across diverse systems. In addition, enable seamless data flows that power analytics, visualization, and decision-making, while ensuring strict adherence to DoD cybersecurity and governance standards to ensure operational integrity. The mission of DDJ35 is to source and deploy trained and ready joint capable forces, lead the improvement of the Global Force Management and Joint Deployment processes, monitor force readiness and deployment, and support the implementation of Resource-Informed Planning in support of the Joint Staff's mission. How Role will make an impact: Operational analysis and management of Global Force Management related to Joint Technology Development efforts. Analyze government-provided, authoritative and classified data to assist the J35 with gaining insight into Global Force Management GFM) and Planning and Execution (PLEX) process outcomes, as well as building statistical models to support process decision-making, and create machine learning models to support J35 efforts to automate and simplify key GFM and PLEX processes. Conduct high-level market and business operation research to identify trends and relations and, as part of this, use a variety of sophisticated machines and methods to interact with and act upon data contained within the inventory of the DoD's mission critical and mission essential IT systems. Analyze raw data provided by J35 government POCs, and turn it into actionable, understandable content with the help of the J35 GFM Operational managers using various mathematical models and algorithms. This information is used as an analysis source to tell the CJCS and Service/Combatant Commanders and J35 leadership of the "bigger picture" of the IT modernization efforts vital to decision makers. Analyze data warehousing solutions and maintain familiarity with ETL Tools with data storage and retrieval, as the amount of data being dealt with is simply complex due to its inherent legacy. Provide sustainment and improvement Design, build, and maintain data pipelines to support enterprise data flows. Perform data integration, cleaning, and transformation across structured and unstructured sources. Develop and implement data models to support analytics, visualization, and reporting. Collaborate with analysts, developers, and mission stakeholders to ensure data accuracy and accessibility. Deploy and manage solutions on cloud platforms (AWS, Azure, DoD Cloud) in compliance with federal security standards. Create and maintain APIs for secure data access and integration. Troubleshoot and optimize the performance of large-scale data processing systems. Ensure compliance with government data governance and cybersecurity requirements. Serve as the contractor Team Lead and supervise CSA employees. Coordinate contractor team requirements with the Contracting Officer's Representative and CSA Program Manager. Requirements: What you'll need to have to join our award-winning team: Clearance: Must possess and maintain an active U.S. Secret Clearance Education: Master's degree with a minimum of 8 years' experience or Bachelor's degree with a minimum of 12 years' experience or no degree and 14 years' experience of technical areas with the operation, design, development, documentation, and operation of distrubted computer M&S Security+/Network+ ETL, data modeling, SQL, Python, Spark, cloud platforms (AWS, Azure, DoD Cloud), and APIs Demonstrated success in one (1) or more technical areas: Experience with software development management and systems engineering training or education (certification desired) Knowledge, skills and experience in planning and defining operational requirements for local and wide area communications networks (voice, data, and video). Experience with testing and evaluations of modeling and simulation (M&S) and Command and Control (C2) Systems. Experience in the ability to develop and maintain web-based joint training. Experience in developing and managing unique aspects of software intensive programs. Experience with managing and integrating web-based training products (including software, hardware, and network aspects). Familiarity and experience with Java 9 “WildFly”, Oracle 10i - moving to PostGres SQL, Tools supporting Java Enterprise Edition such as Hibernate Java Servlet Specification, Java Server Faces, and Java EE Context Dependency Injection. Shareable Content Object Reference Model support, Hypertext Markup Language 5 support, DoD Command Access Card Public Key Infrastructure, Schema Design, Production Language, Structured Query Language, and Database Optimization. Analyze code, identify area of improvement for cybersecurity, enhance performance of the mobile learning suite servers, as well as their methodology for analyzing, designing, developing, testing, and fielding enhancements. Understanding of the use of Jenkins, Eclipse, Subversion, and Bugzilla What Sets you apart: Microsoft Certified: Azure Data Engineer Associate AWS Certified Data Analytics Google Cloud Professional Data Engineer Databricks Certified Data Engineer Qlik data analytics certifications

THOR Solutions is actively seeking a Mid-Level Data Engineer to support the US Navy Ship Anti-Submarine Warfare (ASW) Readiness and Effectiveness Measuring (SHAREM) at Surface and Mine Warfighting Development Center (SMWDC) in Norfolk, VA. This position is associated with an upcoming contract that THOR is pursuing, with an estimated award/work start late 2025. We are conducting preliminary, “contingent” hiring for roles associated with this contract. The work start is dependent upon THOR being awarded this contract. Typical Responsibilities: System administration for Naval Ship Tracking, Reporting and Analysis Tool (NSTRAT) System, to monitor the application and/or services and troubleshoot issues affecting availability Software Engineering and testing to develop data analysis tools and event reconstruction Performs database entry, management, and monitors automated back-up Performs database query analysis Location: Onsite at Surface and Mine Warfighting Development Center (SMWDC) in Norfolk, VA. Travel Requirements: Up to 10% travel is anticipated. Typical Physical Activity: Primarily desk/computer work in an office environment. Periodic visits to waterfront/shipboard environments. May involve: repetitive motion, traversing shipboard environments (e.g., confined spaces, ladders, hatches), speaking or vision. Existing Security Clearance Required: This position requires a DoD Secret Clearance. A qualified candidate must already possess an active or interim security clearance. A candidate with especially strong, relevant experience but no active security clearance may still be considered, but work start would be dependent upon a new Secret clearance being awarded. Typical Knowledge, Skills, and Abilities: High School diploma, GED, or equivalent Five (5) years of Navy experience managing Navy computer networks Three (3) years of experience using Python and other programming tools to script data analysis products Hold and maintain certifications and/or training to maintain FLANKSPEED IL6 AZURE Privileged Access to include any of the following: AZURE Administrator Associate AZ-104 IAT Level II IAW DoD 8750, which can be fulfilled by holding any ONE of the following certifications Security+ SSCP GSEC GICSP CCNA-Security Experience with Azure is Desired. Proficient with common productivity software, including the Microsoft Office suite. Excellent communication skills. Benefit Offerings: Along with competitive pay, THOR offers a comprehensive benefits package including: Paid Time Off (accrued) Paid Holidays 401(k) with employer match and traditional/Roth options Medical Insurance (3 plan options) + TRICARE Supplemental Coverage Dental Insurance (2 plan options) Vision Insurance Plan Healthcare and Dependent Care Flexible Spending Accounts Commuter/Transit Benefits Basic Life/AD&D, Short-Term and Long-Term Disability Insurance Supplemental Life Insurance Pet Benefits Legal Resources ID Theft Benefits Employee Assistant Plan and Work-Life Program Voluntary Leave Transfer Program Tuition Reimbursement Program Employee Referral Program Please be aware that many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. Founded in 2009, THOR Solutions, LLC (THOR) is a rapidly growing Center for Veteran's Excellence (CVE) verified Service-Disabled Veteran-Owned Small Business (SDVOSB) providing mission critical support across the Department of Defense, Department of Homeland Security, federal civilian agencies and commercial maritime industry, worldwide. THOR provides innovative and tailored expertise in multidisciplinary engineering, project and program management, business and financial management, technical support, integrated logistics support, training support, fleet support, corporate operations support, assessments and studies. THOR is privileged to deliver service solutions to the nation's most complex military, public sector and industry challenges. THOR is proud to be an Equal Opportunity Employer, including veterans and individuals with disabilities. THOR considers all qualified applicants for employment without regard to legally protected characteristics. This policy applies to all terms and conditions of employment. If you are an individual with a disability and would like to request a reasonable accommodation as part the employment selection process, please contact us at *************************** or **************.

Senior Data Engineer Job Description Develop new tools, code, and services to execute data engineering activities involving data of varying types and in varying conditions. Activities include the following tasks: Movement of structure and unstructured data using approved methods. Execute data ingestion activities for storing data in a local or enterprise level location. Develop code to format data that supports exploration. Analyze source data formats and work with Data Scientists and partners to determine the formats and transforms that best meet mission objectives. Develop code and tools to provide one-time and on-going data extraction from various repositories, formatting and transformations into enterprise or standalone data models. Develop new ETL and perform O&M and enhancements on existing ETL code using best practices/standards. Develop and deliver documentation for each project including ETL mappings, code use guide, code location and access instructions. Key Responsibilities Design and optimize Data Pipelines using tools such as Spark, Apache Iceberg, Trino, OpenSearch, EMR cloud services, NiFi and Kubernetes containers Ensure the pedigree and provenance of the data is maintained such that the access to data is protected Clean and preprocess data to enable access for advanced analytics Collaborate with enterprise working groups to advance the state of data standards Collaborate with the engineering team, data stewards, and mission partners to aid in getting actionable value out of the data holdings Collaborate with software engineers to update, configure, and maintain data services based on the requirements Ensure data quality by working with the testing and data quality team to enhance standardization of data conditioning pipelines Experience adapting to various types and formats of data, and working with development teams to integrate new data processing platforms Required Skills 10+ years' experience with: Data lifecycle engineering Development and maintenance of extract, transform and load (ETL) tools and services Cloud and on-prem data storage and processing solutions Python, SQL, Spark and other data engineering programming COTS and open-source data engineering tools such as ElasticSearch and NiFi Processing data within the Agile Lifecycle Desired Skills Experience using AI/LLMs to accelerate the processing and transformation of data

Altarum | Data & AI Center of Excellence (CoE) Altarum is building the future of data and AI infrastructure for public health - and we're looking for a Principal Data Engineer - ML Platforms to help lead the way. In this cornerstone role, you will design, build, and operationalize the modern data and ML platform capabilities that power analytics, evaluation, AI modeling, and interoperability across all Altarum divisions. If you want to architect impactful systems, enable data science at scale, and help ensure public health and Medicaid programs operate with secure, explainable, and trustworthy AI - this role is for you. What You'll Work On This role blends deep engineering with applied ML enablement: ML Platform Engineering: modern lakehouse architecture, pipelines, MLOps lifecycle Applied ML enablement: risk scoring, forecasting, Medicaid analytics NLP/Generative AI support: RAG, vectorization, health communications Causal ML operationalization: evaluation modeling workflows Responsible/Trusted AI engineering: model cards, fairness, compliance Your work ensures that Altarum's public health and Medicaid programs run on secure, scalable, reusable, and explainable data and AI infrastructure. What You'll Do Platform Architecture & Delivery Design and operate modern, cloud-agnostic lakehouse architecture using object storage, SQL/ELT engines, and dbt. Build CI/CD pipelines for data, dbt, and model delivery (GitHub Actions, GitLab, Azure DevOps). Implement MLOps systems: MLflow (or equivalent), feature stores, model registry, drift detection, automated testing. Engineer solutions in AWS and AWS GovCloud today, with portability to Azure Gov or GCP. Use Infrastructure-as-Code (Terraform, CloudFormation, Bicep) to automate secure deployments. Pipelines & Interoperability Build scalable ingestion and normalization pipelines for healthcare and public health datasets, including: FHIR R4 / US Core (strongly preferred) HL7 v2 (strongly preferred) Medicaid/Medicare claims & encounters (strongly preferred) SDOH & geospatial data (preferred) Survey, mixed-methods, and qualitative data Create reusable connectors, dbt packages, and data contracts for cross-division use. Publish clean, conformed, metrics-ready tables for Analytics Engineering and BI teams. Support Population Health in turning evaluation and statistical models into pipelines. Data Quality, Reliability & Cost Management Define SLOs and alerting; instrument lineage & metadata; ensure ≥95% of data tests pass. Perform performance and cost tuning (partitioning, storage tiers, autoscaling) with guardrails and dashboards. Applied ML Enablement Build production-grade pipelines for risk prediction, forecasting, cost/utilization models, and burden estimation. Develop ML-ready feature engineering workflows and support time-series/outbreak detection models. Integrate ML assets into standardized deployment workflows. Generative AI Enablement Build ingestion and vectorization pipelines for surveys, interviews, and unstructured text. Support RAG systems for synthesis, evaluation, and public health guidance. Enable Palladian Partners with secure, controlled-generation environments. Causal ML & Evaluation Engineering Translate R/Stata/SAS evaluation code into reusable pipelines. Build templates for causal inference workflows (DID, AIPW, CEM, synthetic controls). Support operationalization of ARA's applied research methods at scale. Responsible AI, Security & Compliance Implement Model Card Protocol (MCP) and fairness/explainability tooling (SHAP, LIME). Ensure compliance with HIPAA, 42 CFR Part 2, IRB/DUA constraints, and NIST AI RMF standards. Enforce privacy-by-design: tokenization, encryption, least-privilege IAM, and VPC isolation. Reuse, Shared-Services, and Enablement Develop runbooks, architecture diagrams, repo templates, and accelerator code. Pair with data scientists, analysts, and SMEs to build organizational capability. Provide technical guidance for proposals and client engagements. Your First 90 Days - You will make a meaningful impact fast. Expected outcomes include: Platform skeleton operational: repo templates, CI/CD, dbt project, MLflow registry, tests. Two pipelines in production (e.g., FHIR → analytics and claims normalization). One end-to-end CoE lighthouse MVP delivered (ingestion → model → metrics → BI). Completed playbooks for GovCloud deployment, identity/secrets, rollback, and cost control. Success Metrics (KPIs) Pipeline reliability meeting SLA/SLO targets. ≥95% data tests passing across pipelines. MVP dataset onboarding ≤ 4 weeks. Reuse of platform assets across ≥3 divisions. Cost optimization and budget adherence. What You'll Bring 7-10+ years in data engineering, ML platform engineering, or cloud data architecture. Expert in Python, SQL, dbt, and orchestration tools (Airflow, Glue, Step Functions). Deep experience with AWS + AWS GovCloud. CI/CD and IaC experience (Terraform, CloudFormation). Familiarity with MLOps tools (MLflow, Sagemaker, Azure ML, Vertex AI). Ability to operate in regulated environments (HIPAA, 42 CFR Part 2, IRB). Preferred: Experience with FHIR, HL7, Medicaid/Medicare claims, and/or SDOH datasets. Databricks, Snowflake, Redshift, Synapse. Event streaming (Kafka, Kinesis, Event Hubs). Feature store experience. Observability tooling (Grafana, Prometheus, OpenTelemetry). Experience optimizing BI datasets for Power BI. Logistical Requirements At this time, we will only accept candidates who are presently eligible to work in the United States and will not require sponsorship. Our organization requires that all work, for the duration of your employment, must be completed in the continental U.S. unless required by contract. If you're near one of our offices (Arlington, VA; Silver Spring, MD; or Novi, MI), you'll join us in person one day every other month (6 times per year) for a fun, purpose-driven Collaboration Day. These days are filled with creative energy, meaningful connection, and team brainstorming! Must be able to work during Eastern Time unless approved by your manager. Employees working remotely must have a dedicated, ergonomically appropriate workspace free from distractions with a mobile device that allows for productive and efficient conduct of business. Altarum is a nonprofit organization focused on improving the health of individuals with fewer financial resources and populations disenfranchised by the health care system. We work primarily on behalf of federal and state governments to design and implement solutions that achieve measurable results. We combine our expertise in public health and health care delivery with technology development and implementation, practice transformation, training and technical assistance, quality improvement, data analytics, and applied research and evaluation. Our innovative solutions and proven processes lead to better value and health for all. Altarum is an equal opportunity employer that provides employment and opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by applicable law.

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.