Data science internship jobs in Hampton, VA

We are a Worldwide Resale Market Firm seeking a meticulous and analytically adept individual to fulfill the role of Entry Level Data Analyst within our organization to expand our current analytics abilities. The Entry Level Data Analyst will oversee aspects of inventory adjustments, reconciliations and analysis related to the Hawaii market. Additionally, this role will involve understanding the EDI process to assist when necessary. The ideal candidate will be an expert in Microsoft Excel, possess strong analytical skills, attention to detail, and the ability to collaborate effectively with various departments. Key Responsibilities: 1. Reviewing/Posting Inventory adjustments: Review and post all inventory adjustments that flow from the Warehouse Management System to the ERP for accuracy. 2. Inventory review between WMS and ERP: Comparing data between the WMS and WRP systems to ensure matching inventory balances. 3. EDI Processing: Will be the main backup to the daily processing of EDI traffic. 4. Maintain civilian EDI cross references in the ERP: Responsible for the upkeep and accuracy of the item cross references in the ERP related to the Hawaii Business. 5. Data Analysis: Analyze large datasets to extract actionable insights related to performance, customer segmentation, and product profitability. Present findings to management and recommend strategies for improvement. 6. Cross-Functional Collaboration: Collaborate closely with departments such as procurement, sales, and finance to align strategies with overall business objectives. 7. Process Improvement: Continuously assess and enhance processes and systems to improve efficiency, accuracy, and scalability. Identify opportunities for automation and optimization to streamline operations. 8. Hawaii Special Pricing Billing - Create the monthly special pricing file for the Hawaii business, review for accuracy, and send to the accounts payable for proper billing. 9. Analyze inventory and sales adjustment accounts on a monthly basis. 10. Other duties as assigned. Qualifications: - Bachelor's degree in Business Administration, Economics, Data Science, or related analytical field. - 1-3 years of previous experience in pricing analysis, data analysis, or related roles within a similar industry. - Proficiency in data analysis tools and techniques, including Advanced Excel, and Power BI (preferred). - Ability to write basic SQL and DAX statements to analyze large datasets (preferred) - Strong analytical mindset with the ability to interpret complex datasets and draw meaningful insights. - Excellent attention to detail and accuracy, with the ability to manage large volumes of data effectively. - Effective communication and interpersonal skills, with the ability to collaborate cross-functionally and influence stakeholders. - Develop and maintain dashboards, reports, and visualizations that communicate key findings and performance metrics to stakeholders - Present data insights in a clear and concise manner to non-technical audiences - Proven ability to thrive in a fast-paced environment, managing multiple priorities and deadlines effectively. Office-based work: The job requires you to be at a specific company office, typically during set hours.

The Data Analyst provides high-level expertise in areas of data science and decision support analysis. This position is responsible for implementing and promoting data-driven decision support systems and creating high-impact analytics solutions for our clients. The Analyst develops algorithms, solves complex problems, builds predictive analytics, uses automation, applies machine learning, and uses the right combination of tools and frameworks to turn sets of disparate data points into insights that help the client make informed decisions. This position provides customer with a deep understanding of their data, what it all means, and how they can use it. The primary objective of the Data Analyst is to shape long-term understanding and impact of training, understand context and operationalize research constructs into field studies as indicated by the Government. Supervisory Responsibilities: None. Duties/Responsibilities: Specific duties shall include, but are not limited to the following: Track and provide actionable metrics for qualitative assessments and scale data management and outputs IAW the Government's needs as necessary. As Airmen progress and their training age (how long they have done a given task) increases, qualitative metrics will change as well. Provide actionable reports and provides Air Force leaders with professional, viewable and printable reports. Work with the Government to create data input and output products and methodologies. Work with the Government, across all required domains, to develop actionable metrics and data outputs. Will provide Data Analysts support to analyze physiological and qualitative metrics associated with candidates and aircrews. Be able to paint the picture of what challenges fighter aircrew, physically or qualitatively through objectives data sets, captured and displayed through the data management system. Provide the ability to assess class averages, highs and lows, with the overall goal of establishing Aircrew specific algorithms and standards. Provide a service that manages all data, with the understanding that all data belongs to the Government and must be returned to the Government upon request. Uses advanced techniques that integrate traditional and non-traditional datasets and methods to enable analytical solutions. Designs, develops, builds classifier and implements quantitative models. Performs exploratory data analysis to identify attributes and applies predictive analytics techniques including information retrieval, machine learning, network analysis and data mining to generate management insight and enable customer-facing applications. Researches, tests, builds, and performs data transformations for data reduction and variable analysis of risk analysis to implement statistical techniques. Assists with designing and developing new models or refreshing existing software. Integrates and extracts relevant information from large amounts of both structured and unstructured data (internal and external) to enable analytical solutions. Collaborates with project teams and stakeholders to identify client requirements. Develop reports and custom requests for users. Assist with application and user support when needed. Test programs or databases, correct errors, and make necessary modifications. Specify users and user access levels for each segment of the OHWS selected software program. Train users and answer questions. Supports Subject Matter Experts (SME's) on efforts to develop scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation. Works with Software Developers to research architecture for new products, services, and features. Assists in developing algorithms and supporting code such that research efforts are based on the highest quality data. Implements modeling features and methods to develop custom architectures and application integration for program execution. Ensures data security measures and methods are current and implemented throughout the data lifecycle. Work with clients to develop comprehensive operational and strategic data analytics plans/solutions. Deep dive data sets to provide clients with actionable metrics. Create visualizations of physiological key performance indicators (KPIs) for clients. Develop presentations and papers for client digestion of varying data sets. Help developers structure input and analytic tools and processes within the data management system. Work with client staff, including coaches and managers to distill actionable meanings from data sets. Required Skills/Abilities: Shall have a proficient understanding and working knowledge of computer, e-mail, voice mail, and telephone texts to perform duties. Additionally, be proficient with Microsoft Word, Excel, and PowerPoint. Able to obtain a Secret Security Clearance Education and Experience: The Data Analyst shall have appropriate level(s) of education to perform the required function - at a minimum, shall: Possess a Bachelor's Degree in the field of Statistics / Mathematics/ Marketing/ Economics, or Business Administration or equivalent degree. Possess 2+ years' data mining and/or 4+ years in a data analyst role.

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!

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.

Serco is seeking a motivated Data Analyst I (Journeyman level) to join our growing team of diverse professionals supporting our Joint Staff J7 team located in Suffolk, Virginia (on-site). **An active U.S. Department of Defense (DoD) Secret security clearance with the ability to obtain a Top Secret (TS) security clearance.** The selected candidate will be responsible for collecting and analyzing large datasets to uncover insights and create solutions that support organizational goals within the Collective Joint Training task order in support of the Joint Staff J7 located in Suffolk, VA. The candidate will combine technical, analytical, and communication skills to interpret data and influence decision-making. The following is a partial listing of the types of tasks that will be required: In this role, you will: + Gather data from multiple sources and prepare it for analysis. + Analyze large volumes of unstructured data to identify trends and patterns. + Develop machine learning models and predictive algorithms to solve business problems. + Use statistical techniques to validate findings and ensure accuracy. + Automate processes using AI tools and programming. + Create clear, engaging visualizations and written reports to communicate results. + Work closely with different teams to apply data-driven insights. + Stay updated with the latest tools, technologies, and methods in data science. **Meet your Recruiter:** **Qualifications** To be successful in this role, you will have: + **A U.S. Citizenship.** + **An active U.S. Department of Defense (DoD) Secret security clearance with the ability to obtain a Top Secret (TS) security clearance.** + A Bachelor's degree in Computer Science (CS), Data Analytics, or related discipline, with a minimum of 5 years of relevant experience. + The proven ability to design, plan, analyze, execute, assess, adjust, evaluate, and report activities with little supervision. + To be well founded, non-opinionated communication skills including ability to write/prepare formal reports is essential. + The proven ability to plan work and track / report progress. + The ability to work on-site in Suffolk, Virginia. + The ability to travel 10%. Additional desired experience and skills: + Highly self-motivated and directed, with keen attention to detail. + Able to effectively prioritize tasks in a high-pressure environment. + Strong troubleshooting ability and demonstrated ability to think logically. + Ability to support and explain technical positions on issues. + Ability to present ideas in user-friendly language. + Ability to effectively interact with customers, including technical personnel from internal and external stakeholders. + Ability to work in a collaborative troubleshooting environment. + Experience developing products (briefings and reports) for senior leaders. If you are interested in supporting and working with our dedicated Serco team, then submit your application now for immediate consideration. It only takes a few minutes! Military Veterans and Spouses encouraged to apply. **Company Overview** Serco Inc. (Serco) is the Americas division of Serco Group, plc. In North America, Serco's 9,000+ employees strive to make an impact every day across 100+ sites in the areas of Defense, Citizen Services, and Transportation. We help our clients deliver vital services more efficiently while increasing the satisfaction of their end customers. Serco serves every branch of the U.S. military, numerous U.S. Federal civilian agencies, the Intelligence Community, the Canadian government, state, provincial and local governments, and commercial clients. While your place may look a little different depending on your role, we know you will find yours here. Wherever you work and whatever you do, we invite you to discover your place in our world. Serco is a place you can count on and where you can make an impact because every contribution matters. To review Serco benefits please visit: *********************************************************** .If you require an accommodation with the application process please email: ******************** or call the HR Service Desk at ************, option 1. Please note, due to EEOC/OFCCP compliance, Serco is unable to accept resumes by email. Candidates may be asked to present proof of identify during the selection process. If requested, this will require presentation of a government-issued I.D. (with photo) with name and address that match the information entered on the application. Serco will not take possession of or retain/store the information provided as proof of identity. For more information on how Serco uses your information, please see our Applicant Privacy Policy and Notice (**************************************** . Serco does not accept unsolicited resumes through or from search firms or staffing agencies without being a contracted approved vendor. All unsolicited resumes will be considered the property of Serco and will not be obligated to pay a placement or contract fee. If you are interested in becoming an approved vendor at Serco, please email ********************* . Serco is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. **Pay Transparency** Our Total Rewards package includes competitive pay, performance-based incentives, and benefits that promote well-being and work-life balance-so you can thrive both professionally and personally. Eligible employees also gain access to a wide range of benefits from comprehensive health coverage and health savings accounts to retirement plans, life and disability insurance, and time-off programs that support work-life balance. Program availability may vary based on factors such as contract type, location, hire date, and applicable collective bargaining agreements. Salary range: The range for this position can be found at the top of the posting. This range is provided as a general guideline and represents a good faith estimate across all experience levels. Actual base salary will be determined by a variety of factors, including but not limited to, the scope of the role, relevant experience, job-related knowledge, education and training, key skills, and geographic market considerations. For roles available in multiple states, the range may vary to reflect differences in local labor markets. In addition to base salary, eligible positions may include other forms of compensation such as annual bonuses or long-term incentive opportunities. Benefits HIGHLIGHTS - Comprehensible Benefits for Full-time Employees (Part-time members receive a customized package tailored to their role). + Medical, dental, and vision insurance + Robust vacation and sick leave benefits, and flexible work arrangements where permitted by role or contract + 401(k) plan that includes employer matching funds + Tuition reimbursement program + Life insurance and disability coverage + Optional coverages you can buy, including pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection + Birth, adoption, parental leave benefits + Employee Assistance Plan that includes counseling conditions + Specific benefits are dependent upon the specific contract as well as whether the position is covered by a collective bargaining agreement or the Service Contract Act. To review all Serco benefits please visit: ***************************************** . Serco complies with all applicable state and local leave laws, including providing time off under the Colorado Healthy Families and Workplaces Act for eligible Colorado residents, in alignment with our policies and benefit plans. The application window for this position is for no more than 60 days. We encourage candidates to apply promptly after the posting date, as the position may close earlier if filled or if the application volume exceeds expectations. Please submit applications exclusively through Serco's external (or internal) career site. This is a U.S.-based role. If an applicant has any concerns with job posting compliance, please send an email to: ******************** . Click here to apply now (*********************************************************************************************************************************** **New to Serco?** Join our Talent Community! (*************************************************** **ID** _71807_ **Recruiting Location : Location** _US-VA-Suffolk_ **Category** _Information Technology_ **Position Type** _Full-Time_ **Security Clearance** _Other_ **Clearance Details** _An active U.S. Department of Defense (DoD) Secret security clearance with the ability to obtain a Top Secret (TS) security clearance._ **Telework** _No - Teleworking not available for this position_ **Salary Range/Amount** _$63958.00 - $103934.00_

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

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.

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.

Job DescriptionLocation: Suffolk, VA Position Type: Full-Time Clearance: TS/SCI AERMOR is seeking a Junior Data Analyst who will support the Office of Compliance and Assessment (OCA) and Navy leadership by providing technical trend analyses, collecting, organizing, and managing inspection-related artifacts, developing reports, and producing data-driven insights to strengthen the Navy's cybersecurity posture. The analyst will assist in compiling inspection findings, generating trend reports, and maintaining SharePoint hosted spreadsheets to collaborate with stakeholders, and assist senior Data Analysts with similar tasking which may include a variety of visualizations. This role is ideal for someone with foundational data analysis skills who is eager to grow in the fields of cybersecurity and analytics. This is not a remote position. Responsibilities Conduct technical analyses and develop reports (general, grouped, crosstab, column, query-based) related to cybersecurity and cyber operations. Compile inspection findings into quarterly and annual “lessons learned” reports. Assist in developing technical reports, SOPs, briefings, information papers, and dashboards. Support analysis of inspection results (e.g., CORAs, CSIs, SAV results) in support of Quarantine/Risk Review Boards (QRB/RRB). Provide clear and actionable insights into cybersecurity posture, trends, and findings. Develop trend data from completed inspections and assessments. Collaborate with team to create dashboards and visualizations for Navy leadership. Compile recurring and ad hoc cybersecurity inspection metrics and trend reports. Administer and manage inspection artifacts in SharePoint folders and trackers for various stakeholders to review. Work closely with senior analysts and onsite leadership to support analytical efforts and pilot programs. Communicate analytical results through reports, visualizations, and presentations. Qualifications Bachelor's degree in Data Analytics, Information Systems, Cybersecurity, or related field (or equivalent experience). Must hold and IAT II certification and database certification (SQL or equivalent/ related). Basic proficiency in data analysis and visualization tools (e.g., Excel, Power BI, Tableau). Familiarity with SQL or query-based report generation. Strong analytical thinking and attention to detail. Ability to present data clearly in both written and visual formats. Experience with SharePoint. Powered by JazzHR 2BdRmQEqUw

Position Type: Full-Time Clearance: TS/SCI AERMOR is seeking a Junior Data Analyst who will support the Office of Compliance and Assessment (OCA) and Navy leadership by providing technical trend analyses, collecting, organizing, and managing inspection-related artifacts, developing reports, and producing data-driven insights to strengthen the Navy's cybersecurity posture. The analyst will assist in compiling inspection findings, generating trend reports, and maintaining SharePoint hosted spreadsheets to collaborate with stakeholders, and assist senior Data Analysts with similar tasking which may include a variety of visualizations. This role is ideal for someone with foundational data analysis skills who is eager to grow in the fields of cybersecurity and analytics. This is not a remote position. Responsibilities Conduct technical analyses and develop reports (general, grouped, crosstab, column, query-based) related to cybersecurity and cyber operations. Compile inspection findings into quarterly and annual “lessons learned” reports. Assist in developing technical reports, SOPs, briefings, information papers, and dashboards. Support analysis of inspection results (e.g., CORAs, CSIs, SAV results) in support of Quarantine/Risk Review Boards (QRB/RRB). Provide clear and actionable insights into cybersecurity posture, trends, and findings. Develop trend data from completed inspections and assessments. Collaborate with team to create dashboards and visualizations for Navy leadership. Compile recurring and ad hoc cybersecurity inspection metrics and trend reports. Administer and manage inspection artifacts in SharePoint folders and trackers for various stakeholders to review. Work closely with senior analysts and onsite leadership to support analytical efforts and pilot programs. Communicate analytical results through reports, visualizations, and presentations. Qualifications Bachelor's degree in Data Analytics, Information Systems, Cybersecurity, or related field (or equivalent experience). Must hold and IAT II certification and database certification (SQL or equivalent/ related). Basic proficiency in data analysis and visualization tools (e.g., Excel, Power BI, Tableau). Familiarity with SQL or query-based report generation. Strong analytical thinking and attention to detail. Ability to present data clearly in both written and visual formats. Experience with SharePoint.

Title: 00742 - Data Researcher State Role Title: Laboratory & Research Spec II Hiring Range: 60,000 - 70,000 Pay Band: 4 Recruitment Type: Job Duties The Office of Institutional Research (IR) in the Division of Institutional Effectiveness and Planning (IEP) at Norfolk State University seeks a Data Researcher. This is an exciting time to join us as the university is making a concerted effort to develop a data culture to support informed decision making for student success. • The university has initiated its first formal data governance initiative with Institutional Research as a key partner. • Institutional Research is expanding its ability to efficiently disseminate data to stakeholders via the use of analytics tools. With the explicit support of senior university leadership, IR/IEP are poised to lead the university into a new data future. We welcome your interest in joining us! NSU Data Researcher Key Duties • Compile the University's annual Common Data Set (CDS) response • Complete external surveys as assigned (e.g., US News, Petersons, Thurgood Marshall) • Update University Fact Sheets • Update University Fact Book annually • Complete assigned SCHEV data reports and submissions • Complete assigned data requests • Serve on University committees as assigned • Develop, document and maintain data extraction queries using Informer Minimum Qualifications Strong quantitative analysis skills. Demonstrated ability to conduct descriptive and statistical analyses in SPSS or similar analysis program (e.g., SAS). Demonstrated ability to manage and manipulate data in Microsoft Excel and ACCESS. Understanding of state (SCHEV) and federal (IPEDS) reporting requirements. Strong written and oral communication skills. Demonstrated ability to handle multiple projects simultaneously and meet reporting deadlines. Special Instructions You will be provided a confirmation of receipt when your application and/or résumé is submitted successfully. Please refer to “Your Application” in your account to check the status of your application for this position. Application and/or résumé for this position must be submitted electronically by 11:59 p.m. on the closing date through the Commonwealth of Virginia's Job Board/Recruitment Management System (RMS). Mailed, emailed, faxed, or hand delivered applications and/or résumés will not be accepted. Applicants who possess an Interagency Placement Screening Form (Yellow Form) or a Preferential Hiring Form (Blue Form) as issued under the Department of Human Resources Management (DHRM) Policy 1.30 Layoff (Commonwealth of Virginia Employees Only), must attach these forms when submitting their state application and/or résumé. The decision to interview an applicant is based solely on the information received for this position from either the electronic application and/or resumé. RMS provides a confirmation of receipt when your application and/or résumé is submitted successfully. Please refer to “Your Application” in your RMS account to check the status of your application for this position. Norfolk State University conducts background checks on all candidates identified as a finalist for employment consideration. The type of background check(s) performed are dependent upon the type of position for which you have been identified as a finalist and may include: criminal history, including sexual offender registry checks, reference checks, degree validation, DMV (driving) records, license verification, and credit report reviews. The results of background checks are made available to university employing officials. As a finalist, you will be required to sign an Authorization to Release form. Norfolk State University utilizes Form I-9 and E-verify in the verification of eligibility for employment. Applicants must be authorized to work in the U.S. without employer sponsorship. EEO Statement NSU is committed to providing equal employment opportunities for all persons and applicants, without regard to age, color, disability, gender, national origin, political affiliation, genetic information, religion, sexual orientation, sex (including pregnancy) or veteran status. NSU encourages and invites minorities, women, individuals with disabilities and veterans to apply. Contact Information Name: Norfolk State University Phone: ************ Email: No email material accepted In support of the Commonwealth's commitment to inclusion, we are encouraging individuals with disabilities to apply through the Commonwealth Alternative Hiring Process. To be considered for this opportunity, applicants will need to provide their AHP Letter (formerly COD) provided by the Department for Aging & Rehabilitative Services (DARS), or the Department for the Blind & Vision Impaired (DBVI). Service-Connected Veterans are encouraged to answer Veteran status questions and submit their disability documentation, if applicable, to DARS/DBVI to get their AHP Letter. Requesting an AHP Letter can be found at AHP Letter or by calling DARS at ************. Note: Applicants who received a Certificate of Disability from DARS or DBVI dated between April 1, 2022- February 29, 2024, can still use that COD as applicable documentation for the Alternative Hiring Process.

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.

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.

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.

Serco is seeking a motivated Data Analyst I (Journeyman level) to join our growing team of diverse professionals supporting our Joint Staff J7 team located in Suffolk, Virginia (on-site). An active U.S. Department of Defense (DoD) Secret security clearance with the ability to obtain a Top Secret (TS) security clearance. The selected candidate will be responsible for collecting and analyzing large datasets to uncover insights and create solutions that support organizational goals within the Collective Joint Training task order in support of the Joint Staff J7 located in Suffolk, VA. The candidate will combine technical, analytical, and communication skills to interpret data and influence decision-making. The following is a partial listing of the types of tasks that will be required: In this role, you will: * Gather data from multiple sources and prepare it for analysis. * Analyze large volumes of unstructured data to identify trends and patterns. * Develop machine learning models and predictive algorithms to solve business problems. * Use statistical techniques to validate findings and ensure accuracy. * Automate processes using AI tools and programming. * Create clear, engaging visualizations and written reports to communicate results. * Work closely with different teams to apply data-driven insights. * Stay updated with the latest tools, technologies, and methods in data science. Meet your Recruiter: Qualifications To be successful in this role, you will have: * A U.S. Citizenship. * An active U.S. Department of Defense (DoD) Secret security clearance with the ability to obtain a Top Secret (TS) security clearance. * A Bachelor's degree in Computer Science (CS), Data Analytics, or related discipline, with a minimum of 5 years of relevant experience. * The proven ability to design, plan, analyze, execute, assess, adjust, evaluate, and report activities with little supervision. * To be well founded, non-opinionated communication skills including ability to write/prepare formal reports is essential. * The proven ability to plan work and track / report progress. * The ability to work on-site in Suffolk, Virginia. * The ability to travel 10%. Additional desired experience and skills: * Highly self-motivated and directed, with keen attention to detail. * Able to effectively prioritize tasks in a high-pressure environment. * Strong troubleshooting ability and demonstrated ability to think logically. * Ability to support and explain technical positions on issues. * Ability to present ideas in user-friendly language. * Ability to effectively interact with customers, including technical personnel from internal and external stakeholders. * Ability to work in a collaborative troubleshooting environment. * Experience developing products (briefings and reports) for senior leaders. If you are interested in supporting and working with our dedicated Serco team, then submit your application now for immediate consideration. It only takes a few minutes! Military Veterans and Spouses encouraged to apply. Company Overview Serco Inc. (Serco) is the Americas division of Serco Group, plc. In North America, Serco's 9,000+ employees strive to make an impact every day across 100+ sites in the areas of Defense, Citizen Services, and Transportation. We help our clients deliver vital services more efficiently while increasing the satisfaction of their end customers. Serco serves every branch of the U.S. military, numerous U.S. Federal civilian agencies, the Intelligence Community, the Canadian government, state, provincial and local governments, and commercial clients. While your place may look a little different depending on your role, we know you will find yours here. Wherever you work and whatever you do, we invite you to discover your place in our world. Serco is a place you can count on and where you can make an impact because every contribution matters. To review Serco benefits please visit: ************************************************************ If you require an accommodation with the application process please email: ******************** or call the HR Service Desk at ************, option 1. Please note, due to EEOC/OFCCP compliance, Serco is unable to accept resumes by email. Candidates may be asked to present proof of identify during the selection process. If requested, this will require presentation of a government-issued I.D. (with photo) with name and address that match the information entered on the application. Serco will not take possession of or retain/store the information provided as proof of identity. For more information on how Serco uses your information, please see our Applicant Privacy Policy and Notice. Serco does not accept unsolicited resumes through or from search firms or staffing agencies without being a contracted approved vendor. All unsolicited resumes will be considered the property of Serco and will not be obligated to pay a placement or contract fee. If you are interested in becoming an approved vendor at Serco, please email *********************. Serco is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. Pay Transparency Our Total Rewards package includes competitive pay, performance-based incentives, and benefits that promote well-being and work-life balance-so you can thrive both professionally and personally. Eligible employees also gain access to a wide range of benefits from comprehensive health coverage and health savings accounts to retirement plans, life and disability insurance, and time-off programs that support work-life balance. Program availability may vary based on factors such as contract type, location, hire date, and applicable collective bargaining agreements. Salary range: The range for this position can be found at the top of the posting. This range is provided as a general guideline and represents a good faith estimate across all experience levels. Actual base salary will be determined by a variety of factors, including but not limited to, the scope of the role, relevant experience, job-related knowledge, education and training, key skills, and geographic market considerations. For roles available in multiple states, the range may vary to reflect differences in local labor markets. In addition to base salary, eligible positions may include other forms of compensation such as annual bonuses or long-term incentive opportunities. Benefits HIGHLIGHTS - Comprehensible Benefits for Full-time Employees (Part-time members receive a customized package tailored to their role). * Medical, dental, and vision insurance * Robust vacation and sick leave benefits, and flexible work arrangements where permitted by role or contract * 401(k) plan that includes employer matching funds * Tuition reimbursement program * Life insurance and disability coverage * Optional coverages you can buy, including pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection * Birth, adoption, parental leave benefits * Employee Assistance Plan that includes counseling conditions * Specific benefits are dependent upon the specific contract as well as whether the position is covered by a collective bargaining agreement or the Service Contract Act. To review all Serco benefits please visit: ****************************************** Serco complies with all applicable state and local leave laws, including providing time off under the Colorado Healthy Families and Workplaces Act for eligible Colorado residents, in alignment with our policies and benefit plans. The application window for this position is for no more than 60 days. We encourage candidates to apply promptly after the posting date, as the position may close earlier if filled or if the application volume exceeds expectations. Please submit applications exclusively through Serco's external (or internal) career site. This is a U.S.-based role. If an applicant has any concerns with job posting compliance, please send an email to: ********************.

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!