Senior data scientist jobs in Chesapeake, VA

100% ONSITE Who We Are: Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the listed position. Job Description: NATO HQ Supreme Allied Command Transformation (NATO SACT) is seeking contract support to access to leading-edge capabilities necessary to adapt to future threats, integrate advanced technologies to modernize the force, explore long-term military strategy to shape how NATO's forces will operate in the future, and promote interoperability between current and next-generation platforms. To support our NATO customer, SimIS seeks a Senior Data Scientist to apply business and data manipulation principles and methods to technical problems to arrive at automated solutions and support the development and integration of emerging technologies to support NATO force design and strategic decision making. Education and Qualifications Master's degree in Data Science, Computer Science, or Statistics. 8 years of data science experience in defense/security sectors. 5 years' experience in designing, developing, and maintaining big data platforms/fabrics. Experience in AI/ML and predictive analysis applications. Expertise in Programming Languages: Python, R, SQL, Spark, TensorFlow/PyTorch. Expertise in Data Visualization tools (Tableau, Power BI, D3.js). Coding knowledge/experience: Java, JavaScript, C, C++, etc. A Data Science Professional Certificate is highly desirable. Responsibilities Support cloud-based big data design and development requirements for software prototypes, systems, and applications. Provide cloud-based solutioning for internal R&D efforts to develop software prototypes and technical documentation. Evaluate R&D prototypes and develop software technical documentation, specifications, and user guides. Develop and evaluate data requirements, perform data analysis on large data sets, translate raw data into usable knowledge and information, and provide expertise on creating usable data constructs. Interpret results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently; designs, develops and implements the most valuable business cloud solutions for the organization. Benefits: Medical, Dental, and Vision Short-Term Disability (at no cost to you) & Long-Term Disability Life Insurance 401(k) Savings Plan Flex Spending Accounts Tuition Assistance Program Professional Development Paid Time Off (PTO) 11 Federal Holidays each year SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer

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!

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 for the NATO Enterprise, particularly in the context of the ongoing implementation of the Data Exploitation Framework and Program. Identify, contribute to, and implement machine learning (ML)/AI initiatives across HQ SACT and the NATO Enterprise with suggestions for ML approaches and implementation, including the processing of training data and performance assessment of machine learning techniques on datasets. Apply existing data science techniques to new problems and datasets using specialized programming techniques to meet the needs of the project and customer. Evaluate the outcomes and performance of data science models. Identify and implement opportunities to train and improve models and the data they use. Publish and report on machine learning model outputs to meet customer needs and conform to agreed standards. Utilize in-depth knowledge of NLP, ML applications, or computer vision. Demonstrate experience with Generative AI. Support review of data science and AI activities, processes, products, or services. Collaborate with other data professionals (such as data scientists, data and information managers, data engineers), software engineers, and SMEs from different functional areas, branches, and directorates within HQ SACT or NATO entities, as directed, for example in support of the ACT Innovation Branch. Provide subject matter expertise to (military and civilian) staff within HQ SACT or the NATO Enterprise and develops proofs of concept, as directed. Provide outreach support to internal and external communities that bring together DS & AI practitioners and consumers. This comprises, for example, TIDE Sprint, the NATO Data Science & AI Expert Network, or initiatives related to academia and industry. Contribute to the development of scientific studies. Assist with educational efforts and training development and execution as it relates to data, AI, or digital literacy. Remain current with new developments in data science and AI to bring innovative ideas into implementation. Support building a data-driven culture that uses analytics to generate insights, improve decision-making at all levels, inform strategy and policy decisions, and enhance performance. Perform additional tasks as required by the COTR related to the LABOR category. Requirements Mandatory Qualifications: Proven work experience as a Data Scientist, AI/ML Engineer, or a similar role in the last four years. Experience in modern software architecture and software development related to data science, analytics, and AI, e.g., Python, SQL, R. Experience with machine learning and AI frameworks, using e.g., TensorFlow, PyTorch, scikit-learn, or other modern machine learning frameworks. Experience with planning, executing, and maintaining data science pipelines. Experience visualizing data and producing high-quality graphs and reports, charts, and interactive dashboards using tools such as Tableau, MS Power BI, Kibana. Proven understanding of data security and privacy issues, particularly in international or military environments, to ensure compliance with NATO standards for protecting sensitive information. Experience in providing training in various areas related to data science, analytics, and AI at different technical levels. Portfolio of demonstrable products available via GitLab, or other platforms. Ability to work in a cloud environment, particularly Microsoft Azure or Amazon Web Services. Working experience in an international environment with both military and civilian elements. Proven ability to communicate effectively orally and in writing, with excellent briefing skills. Desired Qualifications: Experience working within a Big Data ecosystem, with tools such as Databricks, Spark, etc. Experience working with open source and publicly available data. Experienced 'data storyteller,' capable of presenting findings and insights effectively to non-technical audiences. Experience working on a military staff. Familiarity with federated learning methodologies to support secure collaboration and data sharing across NATO nations while maintaining sovereignty of sensitive datasets. Knowledge of NATO organization and its functions. Experience in project management, including agile methods and tools. Additional language skills, particularly those of NATO partner and member states, are advantageous. Education and Clearance: A Bachelor's degree or higher at a nationally recognized/certified university in Data Science, Data Analytics, AI engineering, or a related discipline such as Mathematics, Physics, Computer Science, Software Engineering OR four years minimum professional experience in the area of Data Science, including providing analysis and advice in the field of data science, within the last five years. Active NATO or National SECRET (or higher) security clearance. Eligibility and past experience working with NATO security clearance requirements to access and process classified or sensitive data. 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.

Spektrum have a wide range of exciting opportunities in several global locations. We are always looking to add great new talent to our team and look forward to hearing from you. Spektrum supports apex purchasers (NATO, UN, EU and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects. Who we are supporting Allied Command Transformation (ACT) 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; and improving relationships, interaction and practical cooperation with partners, nations and international organisations. ACT therefore leads Alliance concept development, capability development, training and lessons-learned initiatives and provides unfettered military support to policy development within NATO. The program Capability Development & Management Support (CDMS) DCOS Capability Development (CAPDEV) acts as the Supreme Allied Commander Transformation's Director for guidance, direction and coordination of the activities and resources of the Capability Development Directorate. The Requirements Division will execute all tasks and activities needed to support requirements management for NATO capabilities The Capability Requirements (CR) Branch will develop the Capability Requirements Brief and recommended courses of action to resolve issues through the life cycle management of requirements using matrixed, cross-functional project-specific Requirements Management teams. The Requirements Forward Branch (Mons) is responsible for conducting requirements development and management representation and engagement-related functions in Europe. The Capability Division coordinates the development of capabilities from capability planning through acceptance and then disposal with management entities, NATO Headquarters staff and the NATO Governance Structure The Capability Forward Branch (Mons) coordinates with ACO, NCIA, NSPA, NATO HQ, territorial Host Nations, and NATO Centres of Excellence (COEs) to support the development of capabilities. Strategic Plans and Policy (SPP) supports Allied Command Transformation in formalizing military advice to shape future military strategy, political guidance, and other policy documents supporting NATO's strategic objectives. Role Duties and Responsibilities 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. Essential Skills and Experience 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. Desirable 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. Eligibility for NATO security clearance and prior experience working with classified or sensitive data, including understanding security protocols for processing, handling, and securing such data. 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. Education A Bachelor's degree or higher at a nationally recognized/certified university in Data Science, Data Analytics, AI engineering, or a related discipline such as Mathematics, Physics, Computer Science, Software Engineering OR 4 years minimum professional experience in the area of Data Science, including providing analysis and advice in the field of data science, within the last 5 years. Language Proficiency Advanced Proficiency in English Working Location Norfolk, VA, USA Working Policy On-Site Contract Duration January 2026 - December 2030 Security Clearance Valid National or NATO Secret personal security clearance We never know what new opportunities might be just over the horizon. If this opportunity isn't for you please feel free to send us your resume anyway and be the first to know if something suitable for your skills and experience comes up.

The Naval Computer and Telecommunications Area Master Station (NCTAMS) is seeking an experienced Data Scientist II with deep expertise in SharePoint administration, business intelligence, and data-driven collaboration tools. This position is responsible for designing, deploying, and maintaining secure and efficient SharePoint environments, ensuring compliance with Navy governance and security requirements, and optimizing tools to support mission-critical operations. Key Responsibilities: Deploy, configure, and maintain SharePoint Online and/or On-Premises environments. Manage site collections, permissions, and security policies to ensure data integrity and controlled access. Monitor system performance, troubleshoot technical issues, and implement updates and patches. Develop and implement backup and disaster recovery plans to safeguard data and ensure operational continuity. Integrate SharePoint with Microsoft 365 tools, including Teams and the Power Platform. Automate administrative and operational tasks using PowerShell scripting. Enforce governance policies to maintain compliance with Navy security standards and operational protocols. Customize SharePoint workflows, sites, and applications to meet organizational needs. Provide user training, documentation, and ongoing support to enhance adoption and maximize system capabilities. Collaborate with stakeholders to analyze data requirements, develop solutions, and ensure alignment with mission goals. 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.

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.

As a Data Scientist, you will play a critical role in designing, developing, and deploying machine learning and statistical models to solve complex business and compliance challenges. You will collaborate with engineering, product, and compliance experts to build scalable data-driven solutions that improve product accuracy, efficiency, and customer outcomes. Key Responsibilities Collect, clean, and analyze large structured and unstructured datasets from multiple sources. Develop and implement machine learning models for fraud detection, risk scoring, identity verification, and compliance monitoring. Conduct statistical analysis, feature engineering, and predictive modeling to extract insights and improve product performance. Collaborate with engineering teams to deploy models into production at scale. Partner with product teams to design experiments (A/B testing) and evaluate feature effectiveness. Research and implement state-of-the-art algorithms in AI/ML relevant to RegTech (e.g., anomaly detection, NLP, computer vision). Monitor, evaluate, and continuously improve models for performance, fairness, and compliance. Prepare clear documentation, dashboards, and reports to communicate findings to both technical and non-technical stakeholders. Requirements Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. 2-5 years of experience as a Data Scientist or ML Engineer (preferably in SaaS, fintech, or RegTech). Proficiency in Python, R, or Scala, with strong knowledge of libraries such as scikit-learn, TensorFlow, PyTorch, or similar. Strong understanding of statistics, probability, and machine learning techniques (classification, clustering, NLP, anomaly detection). Experience working with SQL and NoSQL databases. Knowledge of big data tools (Spark, Hadoop, or similar) is a plus. Experience deploying ML models to production environments (AWS, GCP, or Azure). Strong analytical, problem-solving, and communication skills. Preferred Skills Hands-on experience with computer vision techniques (e.g., object detection, OCR, facial recognition, document image analysis). Expertise in deep learning frameworks (TensorFlow, PyTorch, Keras) applied to image-based models. Familiarity with image preprocessing techniques (augmentation, noise reduction, image normalization). Understanding of explainable AI in computer vision for compliance-driven use cases. Ability to translate complex image-based model outputs into product-ready solutions.

Provide and oversee system design, data systems analysis, and implementation of tools and technologies to meet NAVIFOR mission and information needs. Support development and implementation of DON data strategies. Successful client must have a Bachelor of Science degree in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics or related disciplines with five or more years of experience in developing software and databases using modern software tools and frameworks. Must possess a Secret clearance. All work is onsite at 115 Lake View Pkwy, Suffolk, VA.

Senior Data Scientist (AI and Data Governance) JHNA is seeking a highly skilled and visionary Data Scientist to lead the development of enterprise-level artificial intelligence, automation, and data governance capabilities. This position blends deep technical expertise with strategic leadership, supporting JHNA's mission to deliver advanced analytics, AI-driven solutions, and decision-support tools to Army and defense customers. In this role, you will help shape the future of JHNA's analytics offerings by revitalizing internal initiatives, automating key workflows, and driving innovation across the enterprise. You will partner with government customers and internal teams to architect scalable data solutions, build intelligent automation systems, and accelerate JHNA's adoption of emerging AI technologies in support of missions for organizations such as Army Futures Command (AFC), DEVCOM, CASCOM, Naval partners, and other DoD partners. Roles/Responsibilities: AI, Data Governance, and Automation Leadership Revitalize and lead JHNA's AI Tiger Team, spearheading the design and deployment of applied AI solutions across the company. Develop and implement a scalable data governance framework to support internal analytics, acquisitions, and contract execution. Oversee the design and deployment of intelligent automation tools for proposal generation, contract management, compliance reporting, HR workflows, and financial analytics. Mentor junior data science talent and oversee the development of AI-bots and decision-support tools for internal and external use. Integrate advanced data engineering and analytics approaches to support enterprise-level decision-making. Business Development and Strategic Growth Identify, shape, and pursue opportunities for AI-enabled solutions with defense, government, and commercial clients. Collaborate with BD teams to design proposals, develop win themes, and position JHNA as a leader in AI and data governance. Support strategic growth initiatives aligned with JHNA's core mission areas, including autonomy, digital transformation, data exploitation, and decision intelligence. Contribute to the expansion of automation capabilities as part of future COTS product offerings and scalable enterprise solutions. Analytical and Technical Execution Partner with program leads and technical experts to define meaningful metrics and data requirements that support mission objectives. Develop reports, dashboards, and analytical tools that translate complex data into actionable insights. Lead the creation of data management plans, governance policies, and analytic frameworks to standardize processes and ensure data integrity. Support ongoing efforts in data-driven studies, operational modeling, and analytic tool development across JHNA's portfolio. Required Qualifications: Candidate must be a U.S. Citizen with an active Secret Clearance Bachelor's degree (or higher) in Data Science, Computer Science, Engineering, or a related STEM discipline. 7+ years of experience applying AI, data governance, or analytics solutions in a government or defense environment. Proven track record leading enterprise-level automation or AI initiatives, including governance framework design and tool development. Experience developing and delivering data products (e.g., dashboards, analytic tools, or automation platforms) that drive decision-making. Demonstrated ability to bridge technical and business domains, including shaping opportunities and supporting capture/proposal efforts. Desired Qualifications: Experience mentoring and leading cross-functional technical teams. Familiarity with Army data strategies, acquisition analytics, or mission command systems. Experience implementing MLOps, data pipelines, or AI/ML production environments. Proven success building AI-enabled tools that support HR, finance, BD, or operational analysis workflows.

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 **************.

CTR Group is seeking a Data Engineer in Newport News, VA. Immediate openings and urgently hiring! What We Offer: Weekly Pay - you receive a paycheck every week Comprehensive Benefits Package Safety First! Key Responsibilities Review blueprints, drawings, and change orders for data accuracy Administer and validate Bills of Material (BoM) for technical publications Coordinate with suppliers and internal teams to manage spare parts documentation Collaborate with technical writers and illustrators to update manuals and illustrations Maintain machine records and respond to affiliate/customer feedback About CTR Group: CTR Group operates in the staffing and recruitment industry, Nationwide for over 35 years. We provide full-service staffing support for various sectors including Marine Trades, Heavy Industrial, Light Industrial, Commercial, Technical, Professional, Aerospace and Aviation, and Energy. We offer a range of placement options such as Direct Hire, Contract Labor, Temporary & Temp to Hire. CTR Group takes pride in its high ratings across various platforms, reflecting our commitment to excellence and our dedication to providing quality staffing and employment services. CTR Group is an equal employment opportunity employer. Candidates are selected based on qualifications and defined requirements of the job, not on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin or any other protected status. Further, CTR Group encourages United States' Veterans and persons with disabilities to apply for positions for which they are qualified. California Consumer Privacy Act Statement We value your privacy and are committed to protecting your personal information. In accordance with the California Consumer Privacy Act (CCPA), you have the following rights: Right to Know: You can request details about the personal information we collect, use, and share. Right to Delete: You may ask us to delete your personal information, subject to certain exceptions. Right to Opt-Out: You can opt out of the sharing of your personal information. Personal information is only shared to prospective employers with your permission. We never sell personal information. Right to Non-Discrimination: Exercising your CCPA rights will not result in any discrimination. For more information or to exercise your rights, please contact us.

100% ONSITE Who We Are: Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team). SimIS is currently recruiting for the listed position. Job Description: NATO HQ Supreme Allied Command Transformation (NATO SACT) is seeking contract support to access to leading-edge capabilities necessary to adapt to future threats, integrate advanced technologies to modernize the force, explore long-term military strategy to shape how NATO's forces will operate in the future, and promote interoperability between current and next-generation platforms. To support our NATO customer, SimIS seeks a Senior Data Scientist to apply business and data manipulation principles and methods to technical problems to arrive at automated solutions and support the development and integration of emerging technologies to support NATO force design and strategic decision making. Education and Qualifications Master's degree in Data Science, Computer Science, or Statistics. 8 years of data science experience in defense/security sectors. 5 years' experience in designing, developing, and maintaining big data platforms/fabrics. Experience in AI/ML and predictive analysis applications. Expertise in Programming Languages: Python, R, SQL, Spark, TensorFlow/PyTorch. Expertise in Data Visualization tools (Tableau, Power BI, D3.js). Coding knowledge/experience: Java, JavaScript, C, C++, etc. A Data Science Professional Certificate is highly desirable. Responsibilities Support cloud-based big data design and development requirements for software prototypes, systems, and applications. Provide cloud-based solutioning for internal R&D efforts to develop software prototypes and technical documentation. Evaluate R&D prototypes and develop software technical documentation, specifications, and user guides. Develop and evaluate data requirements, perform data analysis on large data sets, translate raw data into usable knowledge and information, and provide expertise on creating usable data constructs. Interpret results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently; designs, develops and implements the most valuable business cloud solutions for the organization. Benefits: Medical, Dental, and Vision Short-Term Disability (at no cost to you) & Long-Term Disability Life Insurance 401(k) Savings Plan Flex Spending Accounts Tuition Assistance Program Professional Development Paid Time Off (PTO) 11 Federal Holidays each year SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer Powered by JazzHR Dq4IgOmECV

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

Spektrum have a wide range of exciting opportunities in several global locations. We are always looking to add great new talent to our team and look forward to hearing from you. Spektrum supports apex purchasers (NATO, UN, EU and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects. Who we are supporting Allied Command Transformation (ACT) 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; and improving relationships, interaction and practical cooperation with partners, nations and international organisations. ACT therefore leads Alliance concept development, capability development, training and lessons-learned initiatives and provides unfettered military support to policy development within NATO. The program Capability Development & Management Support (CDMS) DCOS Capability Development (CAPDEV) acts as the Supreme Allied Commander Transformation's Director for guidance, direction and coordination of the activities and resources of the Capability Development Directorate. The Requirements Division will execute all tasks and activities needed to support requirements management for NATO capabilities The Capability Requirements (CR) Branch will develop the Capability Requirements Brief and recommended courses of action to resolve issues through the life cycle management of requirements using matrixed, cross-functional project-specific Requirements Management teams. The Requirements Forward Branch (Mons) is responsible for conducting requirements development and management representation and engagement-related functions in Europe. The Capability Division coordinates the development of capabilities from capability planning through acceptance and then disposal with management entities, NATO Headquarters staff and the NATO Governance Structure The Capability Forward Branch (Mons) coordinates with ACO, NCIA, NSPA, NATO HQ, territorial Host Nations, and NATO Centres of Excellence (COEs) to support the development of capabilities. Strategic Plans and Policy (SPP) supports Allied Command Transformation in formalizing military advice to shape future military strategy, political guidance, and other policy documents supporting NATO's strategic objectives. Role Duties and Responsibilities As a member of the Data Science & Artificial Intelligence (DSAI) Branch, responsible to the Section Head/COTR, the contractor will contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and for the NATO Enterprise, particularly in the context of the ongoing implementation of the Data Exploitation Framework and Programme. Identifies, contributes to, and implements machine learning (ML)/AI initiatives across HQ SACT and the NATO Enterprise with suggestions for ML approaches and implementation, including the processing of training data and performance assessment of machine learning techniques on datasets. Applies existing data science techniques to new problems and datasets using specialized programming techniques to meet the needs of the project and customer. Evaluates the outcomes and performance of data science models. Identifies and implements opportunities to train and improve models and the data they use. Publishes and reports on machine learning model outputs to meet customer needs and conform to agreed standards. Utilizes in-depth knowledge of NLP, ML applications, or computer vision. Demonstrates experience with Generative AI. Supports review of data science and AI activities, processes, products, or services. Collaborates with other data professionals (such as data scientists, data and information managers, data engineers), software engineers, and SMEs from different functional areas, branches, and directorates within HQ SACT or NATO entities, as directed, for example in support of the ACT Innovation Branch. Provides subject matter expertise to (military and civilian) staff within HQ SACT or the NATO Enterprise and develops proofs of concept, as directed. Outreach support to internal and external communities that bring together DS & AI practitioners and consumers. This comprises, for example, TIDE Sprint, the NATO Data Science & AI Expert Network, or initiatives related to academia and industry. Contributes to the development of scientific studies. Assists with educational efforts and training development and execution as it relates to data, AI, or digital literacy. Remains current with new developments in data science and AI to bring innovative ideas into implementation. Supports building a data-driven culture that uses analytics to generate insights, improve decision-making at all levels, inform strategy and policy decisions, and enhance performance. Performs additional tasks as required by the COTR related to the LABOR category. Essential Skills and Experience Proven work experience as a Data Scientist, AI/ML Engineer, or a similar role in the last four years. Experience in modern software architecture and software development related to data science, analytics, and AI, e.g., Python, SQL, R. Experience with machine learning and AI frameworks, using e.g., TensorFlow, PyTorch, scikit-learn, or other modern machine learning frameworks. Experience with planning, executing, and maintaining data science pipelines. Experience visualizing data and producing high-quality graphs and reports, charts, and interactive dashboards using tools such as Tableau, MS Power BI, Kibana. Proven understanding of data security and privacy issues, particularly in international or military environments, to ensure compliance with NATO standards for protecting sensitive information Experience in providing training in various areas related to data science, analytics, and AI at different technical levels. Portfolio of demonstrable products available via GitLab, or other platforms. Ability to work in a cloud environment, particularly Microsoft Azure or Amazon Web Services. Working experience in an international environment with both military and civilian elements. Proven ability to communicate effectively orally and in writing, with excellent briefing skills. Working experience in data science and AI related outreach activities, such as working with academia and industry, hackathons, or maintaining AI expert and practitioner networks. Demonstrated experience working at NATO or extensive familiarity with NATO processes, culture, and organizational structures. Desirable Qualifications Experience working within a Big Data ecosystem, with tools such as Databricks, Spark, etc. Experience working with open source and publicly available data. Experienced ‘data storyteller,' capable of presenting findings and insights effectively to non-technical audiences. Experience working on a military staff. Familiarity with federated learning methodologies to support secure collaboration and data sharing across NATO nations while maintaining sovereignty of sensitive datasets Knowledge of NATO organization and its functions. Experience in project management, including agile methods and tools. Additional language skills, particularly those of NATO partner and member states, are advantageous. Eligibility and past experience working with NATO security clearance requirements to access and process classified or sensitive data. Education A Bachelor's degree or higher at a nationally recognized/certified university in Data Science, Data Analytics, AI engineering, or a related discipline such as Mathematics, Physics, Computer Science, Software Engineering OR four years minimum professional experience in the area of Data Science, including providing analysis and advice in the field of data science, within the last five years. Language Proficiency Advanced Proficiency in English Working Location Norfolk, VA, USA Working Policy On-Site Contract Duration January 2026 - December 2030 Security Clearance Valid National or NATO Secret personal security clearance We never know what new opportunities might be just over the horizon. If this opportunity isn't for you please feel free to send us your resume anyway and be the first to know if something suitable for your skills and experience comes up.

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 I will be responsible for supporting data-driven analysis and decision-making tools for the Commander, Naval Information Forces (NAVIFOR) N6 Directorate, particularly within the Command Data Office (CDO). Responsibilities This entry-level data science role supports the development of analytical tools and workflows that power mission decision-making across the Navy Information Warfare enterprise. The candidate will perform data mining, statistical analysis, and visualization to deliver operational insights aligned with NAVIFOR's data strategy. This is a hybrid position based in Suffolk, VA, with limited travel anticipated. Responsibilities: Perform analysis and modeling of large, complex data sets to identify patterns, trends, and actionable insights Support the development of dashboards, data visualizations, and reporting tools using modern BI platforms Assist in the integration of structured and unstructured data sources to support analytics workflows Conduct data profiling, cleaning, transformation, and normalization activities Apply machine learning and statistical analysis techniques to support mission-aligned use cases Support the development of Extract, Transform, Load (ETL) pipelines and data structures for reporting Collaborate with engineering and analytics teams to turn analytical insights into production-ready tools Contribute to the implementation of the NAVIFOR data strategy across enterprise platforms Qualifications Education: Bachelor of Science in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics, or a related discipline Experience: Minimum 3 years of experience in data analytics, data engineering, databases, visualization, and applied coding Clearance: Active Secret Clearance required Technical Skills: Familiarity with general-purpose analytics tools and platforms (e.g., Python, R, Power BI, Tableau) Hands-on experience with SQL databases and data prep pipelines Experience with Jupyter, Jama, or related Navy tools preferred The Candidate must be: Must be technically savvy and possess excellent communication skills Must have effective critical thinking and problem-solving skills Must be self-motivated and able to deliver with minimal supervision Proficient in Microsoft Word, Excel, PowerPoint, and Outlook This position is fast paced and high demand that is a hybrid position (onsite and remote) in Suffolk, VA. Limited to no travel is anticipated. Pay Range Base pay is $105,000-$115,000, 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!

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.

Provide and oversee system design, data systems analysis, and implementation of tools and technologies to meet NAVIFOR mission and information needs. Support development and implementation of DON data strategies. Successful client must have a Bachelor of Science degree in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics or related disciplines with five or more years of experience in developing software and databases using modern software tools and frameworks. Must possess a Secret clearance. All work is onsite at 115 Lake View Pkwy, Suffolk, VA.

Job Description Senior Data Scientist (AI and Data Governance) JHNA is seeking a highly skilled and visionary BD Data Scientist to lead the development of enterprise-level artificial intelligence, automation, and data governance capabilities. This position blends deep technical expertise with strategic leadership, supporting JHNA's mission to deliver advanced analytics, AI-driven solutions, and decision-support tools to Army and defense customers. In this role, you will help shape the future of JHNA's analytics offerings by revitalizing internal initiatives, automating key workflows, and driving innovation across the enterprise. You will partner with government customers and internal teams to architect scalable data solutions, build intelligent automation systems, and accelerate JHNA's adoption of emerging AI technologies in support of missions for organizations such as Army Futures Command (AFC), DEVCOM, CASCOM, Naval partners, and other DoD partners. Roles/Responsibilities: AI, Data Governance, and Automation Leadership - Revitalize and lead JHNA's AI Tiger Team, spearheading the design and deployment of applied AI solutions across the company. - Develop and implement a scalable data governance framework to support internal analytics, acquisitions, and contract execution. - Oversee the design and deployment of intelligent automation tools for proposal generation, contract management, compliance reporting, HR workflows, and financial analytics. - Mentor junior data science talent and oversee the development of AI-bots and decision-support tools for internal and external use. - Integrate advanced data engineering and analytics approaches to support enterprise-level decision-making. Business Development and Strategic Growth - Identify, shape, and pursue opportunities for AI-enabled solutions with defense, government, and commercial clients. - Collaborate with BD teams to design proposals, develop win themes, and position JHNA as a leader in AI and data governance. - Support strategic growth initiatives aligned with JHNA's core mission areas, including autonomy, digital transformation, data exploitation, and decision intelligence. - Contribute to the expansion of automation capabilities as part of future COTS product offerings and scalable enterprise solutions. Analytical and Technical Execution - Partner with program leads and technical experts to define meaningful metrics and data requirements that support mission objectives. - Develop reports, dashboards, and analytical tools that translate complex data into actionable insights. - Lead the creation of data management plans, governance policies, and analytic frameworks to standardize processes and ensure data integrity. - Support ongoing efforts in data-driven studies, operational modeling, and analytic tool development across JHNA's portfolio. Required Qualifications: Candidate must be a U.S. Citizen with the ability to maintain a Secret Clerance Bachelor's degree (or higher) in Data Science, Computer Science, Engineering, or a related STEM discipline. 7+ years of experience applying AI, data governance, or analytics solutions in a government or defense environment. Proven track record leading enterprise-level automation or AI initiatives, including governance framework design and tool development. Experience developing and delivering data products (e.g., dashboards, analytic tools, or automation platforms) that drive decision-making. Demonstrated ability to bridge technical and business domains, including shaping opportunities and supporting capture/proposal efforts. Desired Qualifications: Experience mentoring and leading cross-functional technical teams. Familiarity with Army data strategies, acquisition analytics, or mission command systems. Experience implementing MLOps, data pipelines, or AI/ML production environments. Proven success building AI-enabled tools that support HR, finance, BD, or operational analysis workflows.