Data scientist jobs in Chesapeake, VA

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!

located in Norfolk, VA. TS/SCI Clearance Required. National Capitol Contracting is seeking a Junior Data Scientist to support the Naval Sea Systems Command (NAVSEA) and the Shipboard Maintenance Performance Group (SMPG) and help bring cutting edge data analytics to the Navy Fleet Shipyards. Essential Duties and Responsibilities * Assist in the stand-up (both technical and functional) of the Data Analytics Lab located at NAVSEA Naval Shipyards, recommend software/hardware analytics and data management toolsets, and recommend functional responsibilities for the other SMDAL staff members. * Assist in the development of data procedures and policies, govern data assets, and improve the quality and access to data across the organization. * Analyze and streamline the processes and technology for using data to manage ship maintenance operations, and draw valuable insights from data through data science and business intelligence. * Assist in the implementation of industry best practices, selection of enabling tools and technologies, driving innovation, and contributing to new service offerings for our ship maintenance stakeholders. * Assist in the development of policies and procedures to ensure corporate data systems information protection, data governance, data quality, and data life cycle management. Government Security Clearance Requirement * TS/SCI and willingness to undergo a CI and/or FS polygraph is required. Minimum Requirements * Bachelors degree in Computer Science, Data Science, Computational Science, or related field. * Ability to concisely and convincingly communicate (both verbally and written) with both technical and non-technical stakeholders. * Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics. * Knowledge of big data technology infrastructure and environments. * Proficient in a broad range of data tools and technologies (e.g., Oracle, SQL, SAP IQ, etc.), visualization/analytics tools (e.g., Tableau, Qlik, MicroStrategy, SAP Business Objects, etc.), as well as machine languages (e.g., Python, R/RStudio, Java, C#, SQL, etc.) * Experience in developing machine learning models. * Results-driven, creative, and analytical. * Ability to work within cross-functional groups. Preferred Qualifications * Experience within Data Warehouse and ETL processes. Special Position Requirements Environment/Physical Demands: Office Setting, sitting for long periods of time, and utilizing computer/screens for long periods of time. NCC provides reasonable accommodations to qualified individuals with disabilities. If you are an applicant that requires a reasonable accommodation, please email us and reference the position in your email. NCC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status, political affiliation, genetic information, or any other legally protected status or characteristic. E-Verify Employer. VEVRAA Federal Contractor.

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 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.

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

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.

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.

Senior Manager, Technology Change Risk Oversight Capital One is one of the fastest growing organizations in the world today, powered by our passion for our customers. We are serious about technology, we dream big, and we execute: Capital One moved our entire enterprise to the public cloud over the course of five years. Just as we prioritize driving innovation through technology, we equally prioritize cybersecurity, reliability, and managing technology risk. Technology Risk Management (TRM) is a small organization that packs a big punch. The ~100 professionals in TRM are trusted experts who oversee ~14,000 developers at Capital One. We raise the bar for excellence in cybersecurity, reliability, and tech risk. We shape strategy and decisions, challenge activities to ensure they meet our standards, and perform independent tests of our security and technology risk. Our business leaders must make technology decisions constantly. TRM makes sure they have the tech risk information they need to make good decisions. Associates within TRM are highly-skilled information security, cybersecurity, site reliability engineering, technology, and risk management professionals. They have a wealth of experience and a demonstrated ability to add value with their advice and to deliver high-impact results. As the Senior Manager, Technology Change Risk Oversightyou will play a key role in the review, risk identification, risk assessment, reporting, and effective challenge of technology processes, controls, and capabilities, including but not limited to material and high risk technology changes. You will provide subject matter expertise, oversight, and effective challenge of key Technology areas such as cloud services, enterprise architecture, cloud migrations, and overall technology deployments. As part of the second line of defense, this position will also collaborate closely with associates in first line Cyber, Technology, the Lines of Business, as well as other second line of defense risk management offices to perform and support evaluations of the effectiveness of the firm's controls infrastructure and offer independent advice and recommendations regarding ways to further mature the firm's cyber risk management capabilities. Finally, as a member of a growing organization, you will have the opportunity to shape and further refine your portfolio commensurate with the priorities of the organization and the company. The demands and high-visibility nature of this position requires an expert with a proven ability to work independently in a fast-paced environment and who can begin contributing immediately. Essential Functions (Responsibilities): Provide technical leadership in assessing the practices of designing, developing, testing and implementing cloud native solutions to crucial business problems through thoughtful use of industry best practices and Capital One policy. Evaluate proposed and approved cloud technical solutions for automation, resiliency, performance, scalability, and security including appropriate tradeoffs, risks and opportunities Evaluate/assess complex technological and business environment migrations to the cloud and integrated end-to-end solution options Build and maintain relationships with technical leaders, business owners, engineers and other stakeholders to understand and evaluate implementation plans, business priorities and technical solutions to ensure risk are well communicated and understood by the key stakeholders Keep up-to-date on cutting edge technology, standards, protocols and tools in areas relevant to the rapidly changing environment at Capital One, specifically cloud native architecture, serverless, and emerging AWS services Demonstrate strong analytical, problem-solving, and decision-making skills Communicate and drive highly complex technology solutions to broad audiences including executives, business leaders, product managers, legal experts, security specialists and software engineers Define, structure and plan work independently Perform independent risk assessment of our cloud environment focusing on architecture, engineering, networking, governance. Provide expertise and advice regarding the effectiveness of device configurations, IT architecture, or IT engineering solutions Consult with risk owners on the design and implementation or adjustment of mitigating controls associated with emerging technologies Draft and publish independent reports for risk owners, senior management, and other stakeholders regarding risks associated with new or emerging technologies Basic Qualifications: Bachelor's Degree or military experience At least 6 years of experience managing, consulting, auditing, or working in the fields of information security or information technology At least 3 years experience with Public Cloud implementations Preferred Qualifications: Master's Degree in Computer Science or in an Engineering discipline Professional certification (AWS Certified Solutions Architect, AWS Certified Security Speciality, AWS SysOps Administrator, or Certified Information Systems Security Professional (CISSP)) Experience with Information Security at the policy, architecture or implementation level Ability to communicate clearly and to interact effectively at all levels of the organization, and to influence as warranted and appropriate to drive to consensus Experience with identifying and communicating key risks related to cloud native implementations and architectures Experience drafting reports or analytic assessments for senior management Experience with analysis of emerging threats and reports that describe the implications of threat(s) and opportunities to executives or senior decision-makers Passion and expertise in cybersecurity and technology risk, with an ability to be confident, respectful, and articulate when registering dissenting or unpopular opinions Ability to manage multiple high-visibility and high-impact projects while maintaining superior results Execution oriented and a self-motivator Experience with threat modeling frameworks (STRIDE, OWASP Top 10, MITRE ATT&CK) Familiarity with controls and control frameworks ( NIST Cybersecurity Framework, NIST 800-53, CIS Top 20, ISO, COBIT.) Ability to work independently and in a team, taking a lead role on projects when necessary Prior experience working in financial services or other highly-regulated sectors Experience working in a hybrid IT environment that includes both traditional on-premises data centers and public cloud infrastructure (e.g., AWS, Azure, Google Cloud) Experience with OpenStack At this time, Capital One will not sponsor a new applicant for employment authorization for this position. This role is Hybrid, with associates expected to consistently spend three days per week in the office. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr Manager, Cyber TechnicalRichmond, VA: $204,900 - $233,800 for Sr Manager, Cyber TechnicalNew York, NY: $245,900 - $280,600 for Sr Manager, Cyber TechnicalRiverwoods, IL: $204,900 - $233,800 for Sr Manager, Cyber Technical Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

Job Description located in Norfolk, VA. TS/SCI Clearance Required. National Capitol Contracting is seeking a Junior Data Scientist to support the Naval Sea Systems Command (NAVSEA) and the Shipboard Maintenance Performance Group (SMPG) and help bring cutting edge data analytics to the Navy Fleet Shipyards. Essential Duties and Responsibilities Assist in the stand-up (both technical and functional) of the Data Analytics Lab located at NAVSEA Naval Shipyards, recommend software/hardware analytics and data management toolsets, and recommend functional responsibilities for the other SMDAL staff members. Assist in the development of data procedures and policies, govern data assets, and improve the quality and access to data across the organization. Analyze and streamline the processes and technology for using data to manage ship maintenance operations, and draw valuable insights from data through data science and business intelligence. Assist in the implementation of industry best practices, selection of enabling tools and technologies, driving innovation, and contributing to new service offerings for our ship maintenance stakeholders. Assist in the development of policies and procedures to ensure corporate data systems information protection, data governance, data quality, and data life cycle management. Government Security Clearance Requirement TS/SCI and willingness to undergo a CI and/or FS polygraph is required. Minimum Requirements Bachelors degree in Computer Science, Data Science, Computational Science, or related field. Ability to concisely and convincingly communicate (both verbally and written) with both technical and non-technical stakeholders. Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics. Knowledge of big data technology infrastructure and environments. Proficient in a broad range of data tools and technologies (e.g., Oracle, SQL, SAP IQ, etc.), visualization/analytics tools (e.g., Tableau, Qlik, MicroStrategy, SAP Business Objects, etc.), as well as machine languages (e.g., Python, R/RStudio, Java, C#, SQL, etc.) Experience in developing machine learning models. Results-driven, creative, and analytical. Ability to work within cross-functional groups. Preferred Qualifications Experience within Data Warehouse and ETL processes. Special Position Requirements Environment/Physical Demands: Office Setting, sitting for long periods of time, and utilizing computer/screens for long periods of time. NCC provides reasonable accommodations to qualified individuals with disabilities. If you are an applicant that requires a reasonable accommodation, please email us and reference the position in your email. NCC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status, political affiliation, genetic information, or any other legally protected status or characteristic. E-Verify Employer. VEVRAA Federal Contractor.

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.

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

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.

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.

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: 7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Lead Data EngineerRichmond, VA: $175,800 - $200,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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.

National Capitol Contracting is seeking Data Scientists of Junior, Senior and SME level to support an upcoming contract with the Naval Sea Systems Command (NAVSEA) and the Shipboard Maintenance Performance Group (SMPG) and help bring cutting edge data analytics to the Navy Fleet Shipyards. Key Areas of Responsibility * Assist in the stand-up (both technical and functional) of the Data Analytics Lab located at NAVSEA Naval Shipyards, recommend software/hardware analytics and data management toolsets, and recommend functional responsibilities for the other SMDAL staff members. * Assist in the development of data procedures and policies, govern data assets, and improve the quality and access to data across the organization. * Analyze and streamline the processes and technology for using data to manage ship maintenance operations, and draw valuable insights from data through data science and business intelligence. * Assist in the implementation of industry best practices, selection of enabling tools and technologies, driving innovation, and contributing to new service offerings for our ship maintenance stakeholders. * Assist in the development of policies and procedures to ensure corporate data systems information protection, data governance, data quality, and data life cycle management. Government Security Clearance Requirement * Government security clearance requirements may vary amongst positions, however, a minimum of a Top Secret clearance with SCI eligibility and willingness to undergo a CI and/or FS polygraph is required. Minimum Requirements * Requirements may vary per job level and location, however, the candidate should possess the following at the time of application: * Bachelors degree in Computer Science, Data Science, Computational Science, or related field. * Experience building and leading data management and analytics projects and initiatives for Federal clients. * Ability to concisely and convincingly communicate (both verbally and written) with both technical and non-technical stakeholders. * Experience using data for descriptive, diagnostic, predictive, and prescriptive analytics. * Knowledge of big data technology infrastructure and environments. * Proficient in a broad range of data tools and technologies (e.g., Oracle, SQL, SAP IQ, etc.), visualization/analytics tools (e.g., Tableau, Qlik, MicroStrategy, SAP Business Objects, etc.), as well as machine languages (e.g., Python, R/RStudio, Java, C#, SQL, etc.) * Experience in developing machine learning models. * Results-driven, creative, and analytical. * Strong leadership and ability to work within cross-functional groups. Preferred Qualifications * Masters of Science Degree in Computer Science, Data Science, Computational Science or related field. Special Position Requirements Environment/Physical Demands: Office Setting, sitting for long periods of time, and utilizing computer/screens for long periods of time. This is a full-time position. NCC offers a competitive compensation packages: salary is commensurate with experience. Benefits include medical, dental, flexible spending, three weeks accrued Paid Time Off (PTO), paid federal holidays, and 401(k) with company match. NCC is an Equal Opportunity Employer (Minority/Female/Disabled/Veteran).