Data Scientist Jobs in Portsmouth, VA

Top Secret Clearance Jobs is dedicated to helping those with the most exclusive security clearance find their next career opportunity and get interviews within 48 hours. Data Scientist, Mid The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence (AI). In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, we need you to help find the answers in the data. On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 2+ years of experience with statistical and general-purpose programming languages for data analysis Experience analyzing structured and unstructured data sources Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources Knowledge of machine learning, AI, or natural language processing (NLP) Knowledge of text mining or machine learning techniques Ability to obtain a Secret clearance Bachelor's degree Nice If You Have: 2+ years of experience in the development of algorithms leveraging R, Python, or SQL and NoSQL 2+ years of experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL 2+ years of experience with machine learning, AI, or NLP Experience with visualization packages, including Plotly, Seaborn, or ggplot2 TS/SCI clearance Master's degree Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $75,600.00 to $172,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. EEO Commitment We're an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change - no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

Ready to Revolutionize Intelligence? Join Leidos as a Data Scientist! Location: Joint Base Langley-Eustis in Hampton, VA. Security Clearance Required: Current TS/SCI. Mission Impact: Be the driving force behind Air Combat Command's (ACC) cutting-edge Intelligence, Surveillance, and Reconnaissance (ISR) operations. Leidos invites you to be part of something greater! As a Data Scientist, you'll step into a pivotal role on a dynamic team committed to propelling the intelligence capabilities of the Air Force into the future. This isn't just a job-it's a front-row seat to innovation, collaboration, and meaningful work that directly supports national security. Your Role: Innovator, Analyst, Problem-Solver In this role, you'll: Transform Intelligence Operations: Develop algorithms, conduct data analysis, and optimize data patterns to enhance mission capabilities. Elevate Decision-Making: Utilize advanced statistical techniques and predictive analytics to turn vast data into actionable insights. Collaborate Across Frontiers: Team up with multi-agency professionals to shape new algorithms and methodologies that define the future of intelligence. Shape the Narrative: Create compelling data visualizations, build mathematical models, and craft in-depth technical documentation to support mission success. What Makes You a Perfect Fit: You're not just a data scientist-you're an innovator who thrives on solving unstructured challenges and uncovering insights that matter. Your qualifications include: Required Qualifications Clearance & Education: Active TS/SCI security clearance. Bachelor's degree with 12+ years of experience or Master's degree and 10+ years of relevant experience. **Additional experience in lieu of degree). Technical Expertise: Skilled in data extraction and analysis from COTS products. Proficient in programming (e.g., Python, R) and machine learning toolkits. Advanced problem-solving skills for unstructured datasets. Intelligence Knowledge: Experience with multi-domain or all-source intelligence. Professional Skills: Strong organizational, time management, and communication abilities. Capable of presenting technical information effectively to both technical and non-technical audiences. Preferred Qualifications Advanced Training & Education: Master's degree. Formal intelligence analysis training. Specialized Knowledge: Familiarity with U.S. national intelligence partners, non-linear workflows, and TTPs development. Understanding of intelligence tradecraft (e.g., Activity Based Intelligence, Object Based Production, Anticipatory Posturing). Knowledge of SIGINT, MASINT, GEOINT, or HUMINT collection and analysis. Experience with Air Operations Center (AOC) or Distributed Common Ground System (DCGS). Communication & Strategy: Strong briefing and writing skills. EIO2024 Original Posting:March 4, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $104,650.00 - $189,175.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Ryde is seeking a Data Scientist with U.S. Army Training and Doctrine Command (TRADOC) or other Army experience. Education: BS/BA Degree desired Years of Experience: 10+ Years of Data Scientist/Engineering Clearance Requirements: DoD Top Secret clearance is required. Job Type: Full Time General Description: Provide expertise in Systems Admin/Developer, Data Engineer, and Content Manager in support of the U.S. Army TRADOC OCKO office. Demonstrated experience in developing, implementing, and maintaining performance management systems. Significant proficiency in predictive analytics, statistical methods and machine learning techniques accessing data from Strategic Management Systems such as Vantage, Advana, and/or Power BI. Position/program requires strong skills in the spectrum of statistics and mathematics in support of the TRADOC Knowledge Management (KM) Program. Specific Duties: Lead a team in the generation of data analytics, reporting, and visualizations (PowerBI, Vantage, Advana) and decision-making platforms (Vantage, Advana). Provide expertise in data modeling and design (defining tables, configuring table and column properties, defining relationships, resolving many-to-many relationships, defining appropriate levels of granularity) for both operational data and analytical data. Build and maintain data pipelines, integrating data, ensuring data interoperability, implementing data structures, and designing and maintaining data storage. Design and build data architectures consisting of models and developing standards and rules for how collected is stored, arranged, integrated, and used in data systems. Plan, implement, and control activities that apply quality management techniques to data to ensure it is fit for consumption and meets the needs of users. Deliver updates and project tracking in project management software (Jira, MS Planner). Access and leverage structured relational data as well as semi-structured and unstructured data including big data. Experience in object development and design. Apply business technologies, benchmarking, Baldridge Criteria, balanced scorecard, business intelligence dashboards, performance metrics, key performance indicators, measurement/analysis, and related concepts, principles, and practices to a program of similar size and scope. Provide oversight and guidance on application of content management systems, workflows, data mining, cloud computing, predictive analytics, statistics, data warehousing, information/Cyber security, visualization, metadata tagging, and applying related content and data management theories, concepts, and applications. Perform exploratory data analysis (EDA), clean and process data, and develop predictive models using techniques such as regression, classification, clustering, and time-series forecasting. Design, train, and evaluate machine learning algorithms to address business challenges. Work with team members to continuously improve model accuracy and performance through experimentation and optimization. Develop and implement predictive analytics and forecasting models that provide forward-looking insights, empowering stakeholders to anticipate future trends and make strategic decisions. Additional Requirements: Experience with Artificial Intelligence, Machine Learning, and Modeling (and Statistics). Proficient in Project Management Software. Proficient in on-premises and cloud business software. Proficient in multi-platform collaboration tools. Proficient in low-code/no-code. Data modeling and design. Access/leverage structured relational data. Business Intelligence. Data & Content Management. Design and building data architectures. Plan, implement, and control activities. Significant experience in data analytics. Significant experience in data engineering/architecture. Proficiency in programming languages such as Python or R, and experience with SQL for data manipulation Experience working with data mesh architecture, creating or managing data products with domain-driven ownership and decentralized data management. Additionally, a Candidate will: Have successful past performance in providing oversight and guidance on application of content management systems and workflows. Exhibits proficiency in business management and a proven record of applying innovative solutions, design thinking, disruptive innovation, process management/design, benchmarking, Lean Six Sigma, Kaizen, rate of innovation, along with other related methodologies and practices to programs of comparable scale and complexity. Demonstrates expertise, understanding, and experience in Organizational Behavior, Organizational Development or Organizational Management. Has experience leveraging performance management/measurement, strategic planning, research, and analysis, change management, and behavioral science theories and principles. Has demonstrated ability to work collaboratively and function as a team member. Partner with data engineers, analysts, product managers and other stakeholders to understand data needs, align on project goals, and ensure data availability and accuracy for analysis.

Contribute to the integration of AI in NATO's warfare development efforts, particularly wargaming. Collaborate with wargaming experts to identify key areas for AI enhancement Support the development of a roadmap for AI integration into NATO wargaming. Implement data collection and analysis methods for wargaming datasets. Develop real-time analytics and visualizations to support decision-making during wargaming simulations. Support human-machine teaming by integrating AI tools for enhanced collaboration Design and conduct experiments to test AI applications in wargaming scenarios. Document and present findings from AI integration experiments Ensure data integrity and security in all AI-related wargaming activities, considering, for example, NATO's Principles of Responsible Use. 1 Provide technical guidance to wargaming experts on AI technologies Develop analytical reports summarizing AI-enhanced wargaming exercises. Explore AI applications to automate administrative tasks. Participate in workshops, conferences, and meetings to stay updated on AI technologies. Support training development for NATO personnel on AI in wargaming. Develop multimedia content, such as short videos for wargaming scenarios or preparatory materials and explore the use of AI technologies for video generation Willingness to travel up to 30 days per year for meetings, conferences and exercises. Perform additional tasks as required by the COTR related to Data Science & AI integration As directed by the COTR, the contractor can be required to travel on official business in support of ACT both within and outside NATO's boundaries for up to 30 days per year or as agreed. The contractor shall be responsible for completing a Contractor Travel Request Form and follow the ACT Financial Manual Chapter 24 - Contractor Travel: (************************************************************** Requirements University degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Computer Science, or a related field OR equivalent professional experience (minimum 4 years) in Data Science, ML, AI within the last 7 years, with at least 4 years focusing on AI capability integration (not pure development) in a professional environment (not including studies). NATO UNCLASSIFIED NATO UNCLASSIFIED IFIB-ACT-SACT-25-01 At least 3 years of experience in integrating AI technologies into practical applications, particularly in decision-support, simulations, strategic planning, or operational analysis. Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and AI integration techniques (e.g., API deployment, model fine-tuning, reinforcement learning). Experience using generative AI models, in particular Large Language Models (LLMs), for simulations, decision-support, or interactive environments. Demonstrated experience (minimum of 3 years in the last 8 years) in data collection, analysis, and visualization using tools such as Python, R, Tableau, or Power BI for operational insights, scenario modelling, or AI-driven decision-support. Understanding of wargaming principles and ability to analyze, propose, and evaluate AI integration opportunities at strategic, operational, and tactical levels-without requiring prior wargaming experience. Ability to communicate complex concepts effectively to non-technical stakeholders. Proven ability to work collaboratively in cross-functional and interdisciplinary teams particularly in translating AI capabilities into solutions. Experience in managing AI-related projects, including planning, execution, evaluation and experimentation. Ability to apply AI-driven multimedia tools (e.g., AI-generated video, interactive content, briefings) to enhance e.g. wargaming scenarios or decision-support. Knowledge of data security principles and best practices Proven ability to design and apply AI solutions in dynamic environments, demonstrating adaptability, critical thinking, and problem-solving in AI deployment. Awareness of and ability to address ethical or responsible use when deploying AI in sensitive environments (e.g., military, security).

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 Background Data Exploitation and Artificial Intelligence (AI) are essential elements of NATO's digital transformation, enabling and driving faster, data-driven decision-making and operational efficiency. These technologies are crucial for building a more adaptive and responsive NATO, prepared to meet the challenges of Multi-Domain Operations (MDO) and a rapidly evolving security landscape. As NATO's command dedicated to future warfare, Allied Command Transformation (ACT) leads efforts to explore, develop, and integrate latest technologies into military capabilities to transform the Alliance. Wargaming has been recognized by NATO as a critical tool for future warfare development. It is essential for planning and decision-making, simulating complex military scenarios to provide strategic, operational, and tactical insights. ACT is delivering wargaming capabilities for NATO, employing it wargaming to understand military challenges and explore new technologies and strategies. ACT aims to refine NATO's use of wargaming by integrating AI, thereby enhancing its capabilities and accelerating AI adoption. The contractor will join the Data Science and AI Team, ACT's cross-functional hub for data science, data exploitation and Artificial Intelligence. This team facilitates collaboration, provide access to resources and expertise, ensuring efficient use of technologies. The AI Integrator will play a key role in supporting the seamless integration of AI into NATO's wargaming efforts and broader digital transformation initiatives. Role Responsibilities Contribute to the integration of AI in NATO's warfare development efforts, particularly wargaming. Collaborate with wargaming experts to identify key areas for AI enhancement. Support the development of a roadmap for AI integration into NATO wargaming. Implement data collection and analysis methods for wargaming datasets. Develop real-time analytics and visualizations to support decision-making during wargaming simulations. Support human-machine teaming by integrating AI tools for enhanced collaboration. Design and conduct experiments to test AI applications in wargaming scenarios. Document and present findings from AI integration experiments. Ensure data integrity and security in all AI-related wargaming activities, considering, for example, NATO's Principles of Responsible Use. Provide technical guidance to wargaming experts on AI technologies. Develop analytical reports summarizing AI-enhanced wargaming exercises. Explore AI applications to automate administrative tasks. Participate in workshops, conferences, and meetings to stay updated on AI technologies. Support training development for NATO personnel on AI in wargaming. Develop multimedia content, such as short videos for wargaming scenarios or preparatory materials and explore the use of AI technologies for video generation. Willingness to travel up to 30 days per year for meetings, conferences and exercises. Perform additional tasks as required by the COTR related to Data Science & AI integration. As directed by the COTR, the contractor can be required to travel on official business in support of ACT both within and outside NATO's boundaries for up to 30 days per year or as agreed. The contractor shall be responsible for completing a Contractor Travel Request Form and follow the ACT Financial Manual Chapter 24 - Contractor Travel: (************************************************************** Essential Skills and Experience At least 3 years of experience in integrating AI technologies into practical applications, particularly in decision-support, simulations, strategic planning, or operational analysis. Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and AI integration techniques (e.g., API deployment, model fine-tuning, reinforcement learning). Experience using generative AI models, in particular Large Language Models (LLMs), for simulations, decision-support, or interactive environments. Demonstrated experience (minimum of 3 years in the last 8 years) in data collection, analysis, and visualization using tools such as Python, R, Tableau, or Power BI for operational insights, scenario modelling, or AI-driven decision-support. Understanding of wargaming principles and ability to analyze, propose, and evaluate AI integration opportunities at strategic, operational, and tactical levels-without requiring prior wargaming experience. Ability to communicate complex concepts effectively to non-technical stakeholders. Proven ability to work collaboratively in cross-functional and interdisciplinary teams particularly in translating AI capabilities into solutions. Experience in managing AI-related projects, including planning, execution, evaluation and experimentation. Ability to apply AI-driven multimedia tools (e.g., AI-generated video, interactive content, briefings) to enhance e.g. wargaming scenarios or decision-support. Knowledge of data security principles and best practices. Proven ability to design and apply AI solutions in dynamic environments, demonstrating adaptability, critical thinking, and problem-solving in AI deployment. Awareness of and ability to address ethical or responsible use when deploying AI in sensitive environments (e.g., military, security). Education University degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Computer Science, or a related field OR equivalent professional experience (minimum 4 years) in Data Science, ML, AI within the last 7 years, with at least 4 years focusing on AI capability integration (not pure development) in a professional environment (not including studies). Language Proficiency Advanced Proficiency in English. Working Location Norfolk, VA, USA Working Policy On-Site Contract Duration June 2025 - December 2028 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.

At SAIC, we are at the forefront of technological innovation in supporting the Navy's operational, strategic, and fleet readiness. We are committed to solving complex challenges and advancing the state of the art in Maritime Position, Navigation, and Timing (M-PNT) systems. Join us as we continue to define the future of the Navy's warfighter, delivering unparalleled solutions that make the world more connected, secure, and efficient. Position Overview: We are currently seeking a highly skilled and motivated Data Scientist to join our talented team. This role requires advanced data analysis skills, including familiarity in machine learning, statistical analysis, data visualization, programming languages, and strong communication abilities, allowing them to design, develop, and maintain complex data models, dashboards, and analytics solutions, often mentoring junior team members while collaborating closely with stakeholders to translate data insights into actionable business decisions. Work is performed on site in Norfolk, VA and Virginia Beach, VA. This position is contingent upon award news Spring of 2026. Key Responsibilities: * Work with cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight. * Translate mission needs into an end-to-end analytical approach to achieve results. * Perform the pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval. * Familiarity with analytics, and visualization software and programming languages, including analytics methods for big data. * Determine the appropriate analytics based on the data and the desired outcomes, using techniques including feature detection, statistics, data mining, predictive modeling, machine learning, natural language processing, and business intelligence. * Interpret the validity of results and communicates the meaning of those results. * Follow a scientific approach to generate value from data, verifying results at each step. * Familiarity with feature engineering, model building, and presenting findings effectively to non-technical audiences. * Lead data science projects from conception to deployment, including defining project goals, data collection, analysis, and model evaluation. * Familiarity with machine learning models for predictive analytics, including hyperparameter tuning and model selection. * Manage and integrate large datasets from various sources, ensuring data quality and consistency. * Develop interactive dashboards and reports to visualize key business metrics and insights. * Guide and mentor junior data scientists on technical skills and best practices. * Translate data insights into actionable business recommendations and measure the impact of data science initiatives. What You Can Expect: * A culture of innovation, where your ideas and contributions are valued and make an impact. * Hands-on experience with state-of-the-art technology and field-testing opportunities. * A supportive environment that fosters professional growth and development. * Competitive salary and benefits package. Qualifications Required Qualifications: * Bachelors and three (3) years of professional experience with data science. * Familiarity with various machine learning algorithms like regression, classification, clustering, and deep learning to build predictive models. * Strong understanding of statistical concepts like hypothesis testing, confidence intervals, and statistical distributions to interpret data accurately. * Expertise in cleaning, transforming, and preparing complex datasets for analysis, including feature engineering to optimize model performance. * Ability to create compelling data visualizations using tools like Tableau, Power BI, and Matplotlib to effectively communicate insights to stakeholders. * Proficiency in programming languages like Python, and SQL for data manipulation, analysis, and model development. * Familiarity with cloud platforms like AWS, Azure, or GCP for scalable data processing and model deployment is desired. * Demonstrated written and verbal communication skills to present complex data insights to both technical and non-technical audiences, effectively collaborating with cross-functional teams. Required Security Clearance: * US Citizenship required. * Must possess or be able to obtain a Department of Defense (DoD) Secret security clearance. * Active Interim Secret or final Secret clearance is preferred. Required certification-At least one relevant industry certification such as: * CompTIA Cloud Essentials * Microsoft Technical Associate (MTA) * Certificate of Cloud Security (CCSK) * CompTIA A+ * CompTIA Security+ * EMC Data Science Associate (EMCDSA) * Cloudera Certified Data Scientist (CCDH) * Certified Information System Security Professional (CISSP) * Certified Cloud Professional (CCP) (Cloudera) * Microsoft Certified Professional Developer (MCPD) * Microsoft Certified Solution Developer (MCSD) * Microsoft Certified Solution Expert (MCSE)/Private Cloud SAIC accepts applications on an ongoing basis and there is no deadline. Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site. Overview SAIC is a premier Fortune 500 technology integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.4 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 5+ years of experience with statistical and general-purpose programming languages for data analysis 5+ years of experience analyzing structured and unstructured data sources Experience developing predictive data models, quantitative analyses and visualization of targeted data sources Experience leading the development of solutions to complex programs Experience with natural language processing, text mining, or machine learning techniques Secret clearance Bachelor's degree Nice If You Have: Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL Experience with visualization packages, including Plotly, Seaborn, or ggplot2 TS/SCI clearance Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $96,600.00 to $220,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity The USAA Loss Reserving team is seeking an experienced actuary to perform Auto Material Damage loss reserving projections. The ideal candidate will have loss reserving experience and experience with the Auto line of business. This role is for a credentialed Actuary. You will leverage advanced knowledge in at least one actuarial practice area (reserving) to lead and complete broad, complex unstructured projects with countrywide product-level impact. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL. Relocation assistance is not available for this position. What you'll do: * Apply advanced actuarial knowledge to complete broad and complex projects (e.g., evaluates and selects methodology to price new discount/endorsement for countrywide rollout; develops alternative methodologies to comply with complex regulatory requirements; selects metrics and designs processes to monitor model performance; translates business problems into technical requirements and performs required analysis to develop solutions; independently runs catastrophe models and interprets and communicates results to support critical business activities, while enhancing the control environment as needed. * Utilize advanced actuarial, mathematical, or statistical techniques to augment actuarial work product. * Lead special actuarial projects, such as the development of new methodologies or reporting tools. * Train new team members on the theory and mechanics of relevant actuarial methodologies. * Apply deep understanding of products supported, stakeholders' needs, and industry trends to solve unstructured business problems. * Identify and anticipate compliance gaps and process improvements; recommends and develops solutions to mitigate risk. * Represent Actuary in cross-functional efforts. * Develop written communication and presentations that effectively convey data-driven solutions to broad audiences, including cross-functional executive leadership. * Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: * Bachelor's degree; OR 4 years of related Actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. * 4 years of Actuarial or analytical business experience. * Associate of the Casualty Actuarial Society (ACAS) Credential. * Demonstrated advanced skills with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making. * Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. * Demonstrated experience communicating complex solutions and analysis to both technical and nontechnical audiences, including executive leadership. What sets you apart: * Experience in Loss Reserving * Experience with Auto line of business * US military experience through military service or a military spouse/domestic partner Compensation range: The salary range for this position is: $127,310 - $243,340. Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Data AnalystJob Category: Information TechnologyTime Type: Full time Minimum Clearance Required to Start: SecretEmployee Type: RegularPercentage of Travel Required: Up to 10%Type of Travel: Continental US* * * NOTE: U.S. citizenship is required for this position due to the Department of Defense (DoD) security clearance requirements and the nature of the classified work involved. This requirement is in accordance with U.S. government regulations concerning access to classified information and is a mandatory condition of employment. The Opportunity: CACI is seeking a Data Analyst to support business process and performance improvement efforts for the Naval Ship Maintenance Community. The data analyst's role focuses on analysis and problem-solving data challenges as they relate to types of data and/or the relationships among data elements. Produce visualizations, reports, and supporting analysis to measure performance and make actionable insights for business partners. This position is onsite in Portsmouth, VA at the Norfolk Naval Shipyard. The selected candidate for hire must also be willing to travel to: Puget Sound Naval Shipyard, WA; Pearl Harbor Naval Shipyard, HI; Washington Navy Yard, D.C. and Portsmouth Naval Shipyard, ME. Responsibilities: Gather, cleanse, curate and standardize data to support sustainable and scalable data interaction, analysis and insight development. Analyze large and complex data sets and support end-users by enhance information through developing visualizations through dashboards, metrics and user interfaces. Build analytic capabilities and modify existing tools/programs to grow the organizations knowledge and accommodate change. Translate non-technical requirements into technical business requirements. Perform necessary data mapping, data lineage activities, document information flows and process diagrams. Build data models and business glossary by gathering information from multiple sources such as business users, existing data sources, databases and other relevant documents and systems. Serve as data and metric processing subject matter expert also demonstrating and understanding key data management principles and data use. Work diligently in software development processes, software requirements, software maintenance and analyzing information. Perform business and/or technical analyses to understand current customer environments (including discrepancies and inconsistencies), define customer needs, determine potential strategies, and deliver plans/proposals for process improvement opportunities and/or projects. Interface directly with the client, ability to capture requirements and translate into technical requirements for inclusion into products and or services. Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies. Conduct detailed analysis using established statistical methods and develop predictive models. Qualifications: Required: • Minimum active Secret-level clearance. • Bachelor's degree in Business, Engineering, Mathematics/Statistics, or Data Science. • 5 years in Naval Maintenance, including: - Design, implementation, and maintenance of complex databases. - Expertise in JCL, access methods, device allocation, validation checks, organization, security, documentation, and statistical methods. • 5 years of continuing education in Metrics and Data Analytics. • 5 years as senior-level DBA technical expert: - Analyzing and maintaining database dictionaries. - Monitoring standards and procedures. - Integrating systems through database design. • Proficiency in: - Data compilation, analysis, and metrics. - Statistical and mathematical techniques. - Project management. - Evaluating business requirements and delivering results. • Strong knowledge of: - SQL and Oracle Databases. - Query generation, modification, and extraction. • Dashboard and visualization skills using: - Tableau, Power BI, Qlik Sense, Python, Excel advanced charts, or related software. • Programming proficiency in: - Python, Power BI, VBA, Excel Macros, SQL, R, or similar languages. • Demonstrated ability to: - Quickly learn new applications, processes, and procedures. - Formulate problems and apply analytical problem-solving skills. - Communicate clearly and concisely. - ________________________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ________________________________________________________________________________________ Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here. The proposed salary range for this position is: $68,400-$143,700 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: * Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. * Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices. * Write code to ensure the performance and reliability of data extraction and processing. * Support continuous process automation for data ingest. * Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. * Work with program management and engineers to implement and document complex and evolving requirements. * Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. * Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications: * Must be a US Citizen. * Must be able to obtain a Public Trust Clearance. * 7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models. * Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. * Proficiency in developing ETL processes, and performing test and validation steps. * Proficiency to manipulate data (Python, R, SQL, SAS). * Strong knowledge of big data analysis and storage tools and technologies. * Strong understanding of the agile principles and ability to apply them. * Strong understanding of the CI/CD pipelines and ability to apply them. * Experience with relational database, such as, PostgreSQL. * Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have: * Experience creating and consuming APIs. * Experience with DHS and knowledge of DHS standards a plus. * Candidates will be given special consideration for extensive experience with Python. * Ability to develop visualizations utilizing Tableau or PowerBI. * Experience in developing Shell scripts on Linux. * Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. * Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: * Health, Dental, and Vision * Life Insurance * 401k * Flexible Spending Account (Health, Dependent Care, and Commuter) * Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: ************************************* For more information about CGS please visit: ************************** or contact: Email: ******************* $144,768 - $209,109.33 a year

Klett Consulting Group (KCG) is a government contracting firm specializing in program support across multiple support areas for both military and civilian agencies. KCG has been in business for 20+ years in the government industry and has been voted one of the “Best Places to Work” for the past 4 years. KCG is seeking a Data Engineer to join our team. Responsibilities Related activities to include, but not limited to: Create and enhance data pipelines, architectures, and datasets, and integrating Data Acquisition packages to support Chief Data Officer initiatives. Apply data modeling, mining, normalization, privacy, and security while aligning with data governance strategies and documentation. Design unit and integration tests with data quality frameworks, leveraging the Data Dictionary and Metadata Catalog. Participate in Agile meetings and collaborate on data stewardship working groups. Share insights across teams, supporting data-driven decisions with Qlik visualizations in the government-provided Data & Analytics Environment. Expand technical skills to meet client needs and stay current with data governance practices. Identify risks and develop mitigation strategies for data integrity, security, and compliance. Manage time effectively to ensure accurate and timely implementation of data governance procedures. Write complex code for data processing, distributed systems, and parallel computing while ensuring governance compliance. Craft advanced queries, optimize data acquisition, and enhance analytics capabilities. Establish and manage data storage systems with sharing, replication, and governance best practices. Implement data streaming solutions with fault tolerance and distributed system capabilities. Requirements: 2+ years of experience in ETL pipeline development, data modeling, and governance Active Secret clearance required Prior experience with Qlik (or similar) and proficiency in SQL, Python, or Scala for data processing Experience with metadata management, Data Dictionaries, and Metadata Catalogs Strong knowledge of data governance, security, and compliance Hands-on experience with distributed systems and real-time data processing Familiarity with Agile methodologies and data stewardship collaboration Strong problem-solving, risk mitigation, and communication skills Effective time management to meet deadlines accurately Benefits: 401(k) matching Medical, Dental, and Vision insurance Disability insurance Life insurance Paid time off

Digital Alpha is looking for passionate data engineers to join our team. As an experienced member we look first and foremost for people who are passionate around solving business problems through innovation & engineering practices. You will be required to apply your depth of knowledge, attention to detail and expertise to all aspects of the software development lifecycle. We embrace a culture of experimentation and constantly strive for improvement and learning. You'll work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. Requirements Strong hands on experience building data pipelines using Apache Spark in AWS. Hands on experience with AWS services such as Glue, EMR, Lambda, Step Functions, CloudTrail, CloudWatch, SNS, SQS, S3, VPC, EC2, RDS, IAM. Proficient in python programming language. Proficient in PySpark. Knowledge of application development lifecycles, & continuous integration/deployment practices Experience with development on AWS and cloud native applications Kafka and event driven architectures exposure is a plus Experience with Developing Data Platforms on AWS Proficient in Agile Software Development methodology, processes, and practices. Qualifications: - Bachelor's degree in related field - Strong, analytical, focused, self-driven with excellent problem-solving skills - Minimum 2+ years of hands on in-depth experience of AWS Data Pipelines development and implementation is required - AWS Architect Associate or Professional level certifications is a plus

A federal client of Insight Global is seeking a Data Engineer 2 to create and enhance data pipelines, architectures, and datasets, supporting Chief Data Officer initiatives. The role involves applying data modeling, mining, normalization, privacy, and security, designing unit and integration tests, and participating in Agile meetings. The engineer will share insights across teams, identify risks, write complex code for data processing, craft advanced queries, and establish data storage systems. Additionally, they will implement data streaming solutions and ensure compliance with data governance strategies. * 5 years of experience* We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ******************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements - Experience with ETL pipeline development, data modeling, and governance - Active Secret clearance required - Prior experience with Qlik (or similar) and proficiency in SQL, Python, or Scala for data processing - Experience with metadata management, Data Dictionaries, and Metadata Catalogs - Strong knowledge of data governance, security, and compliance - Hands-on experience with distributed systems and real-time data processing - Familiarity with Agile methodologies and data stewardship collaboration - Bachelor's Degree null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to ********************.

The Data Scientist - AI Engineer will play a pivotal role in integrating artificial intelligence into NATO's wargaming operations. This position involves collaborating with multidisciplinary teams to design, test, and implement innovative AI solutions. Key responsibilities include developing AI strategies, enabling real-time analytics, enhancing human-machine collaboration, and ensuring compliance with NATO standards. The role demands a hands-on expert with a deep understanding of AI frameworks, wargaming methodologies, and exceptional communication skills to bridge technical concepts across diverse stakeholders. ResponsibilitiesAI Integration Lead efforts to integrate AI into NATO's wargaming operations, identifying and implementing opportunities for enhancement. Strategic Development Develop and maintain a roadmap for AI integration within wargaming simulations. Data Analytics & Visualization Implement data collection, analysis, and real-time visualization techniques to support decision-making during simulations. Human-Machine Collaboration Design tools and processes that enhance human-machine teaming for effective collaboration in wargaming scenarios. Research & Experimentation Conduct experiments to evaluate AI applications in wargaming contexts and present findings to stakeholders. Content Creation Develop multimedia training and preparatory materials using advanced AI tools. Training & Support Provide training to NATO personnel on AI's role in wargaming and explore automation opportunities through AI applications. Travel Be willing to travel up to 30 days annually for meetings, conferences, and exercises. Qualifications Active Security Clearance: Secret level.Nationality: Citizen of a NATO member country.Education: Bachelor's degree in Data Science, Machine Learning, Artificial Intelligence, or related fields (Master's degree preferred). Alternatively, 4+ years of relevant professional experience. Experience: Minimum 4 years in Data Science, Machine Learning, or AI (5+ years preferred). Proven track record of integrating AI technologies into practical applications (minimum 3 years; 5+ years preferred). Expertise with generative AI models, including Large Language Models (LLMs). Proficiency in Python, R, Tableau, Power BI, TensorFlow, PyTorch, and scikit-learn. Understanding of wargaming principles and methodologies. Key Skills Strong ability to communicate complex technical concepts to non-technical stakeholders. Demonstrated success in collaborating with interdisciplinary teams. Expertise in managing AI-related projects through planning, execution, and reporting phases. In-depth knowledge of data security principles and best practices. Ideal Candidate ProfileThe ideal candidate is a highly skilled Data Scientist or AI Engineer with: Active Secret Clearance and citizenship in a NATO member country. Residency in Norfolk, VA, or the ability to commute. A minimum of 4 years of experience in Data Science, Machine Learning, or AI, with proficiency in Python, TensorFlow, and PyTorch. Proven expertise in applying AI technologies to real-world challenges, including experience with Large Language Models (LLMs). Strong communication skills for explaining technical concepts to diverse audiences. Familiarity with wargaming methodologies and experience working within multidisciplinary team environments.

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 Machine Learning Data Engineer to join its team. In this role, the Machine Learning Data Engineer is responsible for data wrangling and analysis, development and testing of models and algorithms, and documenting findings of research and analysis in support of Machine Learning solutions. Responsibilities: • Support data curation, maintenance, and production processing of collected datasets • Develop and maintain user interfaces for data gathering and review • Develop machine learning applications according to project requirements • Run machine learning tests and experiments • Monitor and optimize the quality and performance of data collections, models, services, and tools • Design, build, test, blend, manage, and optimize all types of relevant data utilizing numerous sources Requirements: • DoD Secret Clearance • BS degree or higher in Computer Science, Data Science, Mathematics, or a related field • Years of Experience: 5 or more years of experience in Machine Learning, Data Engineering, or related fields • Experience with data curation, cleaning, storage, management, and governance • Experience with common Machine Learning and programming languages including Python and associated libraries such as NumPy, matplotlib, and Keras/Tensorflow, C++, C#, SQL, and JavaScript • Ability to work in fast paced collaborative team-based environments with both local and remote colleagues • 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

This is not a remote work opportunity. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, and TN. Ericsson also does not hire F-1's working on EAD for this position. Are you ready to drive and shape the future of Ericsson Silicon's Verification analytics and data-driven insights? Join our dynamic Design Verification Methodology team, dedicated to defining cutting-edge metric-driven methodologies and dashboarding solutions across our global R&D sites in Austin, Stockholm, and Lund. About Us We are part of Ericsson Silicon, an engineering unit that develops state-of-the-art ASICs and FPGAs targeting the newest technology nodes for Ericsson's 5G telecommunication portfolio. This department offers many opportunities for career growth and access to a large knowledge base. What you will do: To excel in this high-visibility role, we seek individuals with a background in ASIC IP/ASIC SoC development, data science, and dashboarding. You will play a crucial role in shaping data-driven methodologies that help silicon IP engineers track Coverage metrics, Functional Coverage pass/fail rates, EDA tool efficiency, and verification progress, ensuring a holistic view of ASIC SoC health. A key focus is on building scalable metric systems, integrating AI/ML techniques for predictive analytics, and visualizing workload throughput across compute clusters and EDA tools * Design and implement Silicon DV metric systems to track and visualize: Coverage and Functional Coverage (pass/fail rates, closure status). Workload Throughput (runtime, memory usage, compute efficiency, and job scaling). EDA Resource Utilization (license usage, peak load analysis, and bottleneck detection). Other key KPI to measure and track Silicon Design and Verification status * Develop interactive dashboards for real-time monitoring of verification progress and EDA tool performance. * Create AI/ML-driven analytics for predictive workload optimization and resource allocation insights. * Automate data collection and transformation from EDA tools, compute clusters, and job schedulers. * Integrate metric systems into CI/CD workflows, enabling data-driven decision-making for IP/ASIC/SoC verification teams. * Collaborate with silicon engineers to improve compute scheduling, license efficiency, and verification throughput. * Establish best practices for data visualization, reporting, and engineering decision support. What you will bring: * Strong expertise in data science, analytics, and visualization tools (e.g., Python, Pandas, NumPy, Jupyter, Tableau, Grafana). * Experience with EDA tool monitoring (e.g., Synopsys VCS, Cadence Xcelium, Siemens Questa, JasperGold, Verdi). * Proficiency in SQL, NoSQL databases, and scalable data pipeline development. * Knowledge of AI/ML frameworks for predictive analytics in EDA workloads. * Familiarity with compute cluster resource monitoring (e.g., Slurm, LSF, Kubernetes). * Hands-on experience with runtime and memory profiling for verification workloads. * Understanding of CI/CD tools like Jenkins, GitLab, Docker, Kubernetes. * Strong programming skills in Python, Bash, Perl, or similar scripting languages. * Effective communication and ability to present data-driven insights to engineering teams. Why Join Us? * Be part of a high-impact team transforming silicon verification with data science and AI. * Work on cutting-edge analytics and visualization tools for EDA workload monitoring and optimization. * Shape data-driven verification methodologies for global engineering teams. * Collaborate with world-class experts in semiconductor R&D. base pay range $175,000 to $210,000 What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Notice of Job Opportunity - Legal Notices for PERM We encourage you to consider applying to jobs where you might not meet all the criteria. We recognize that we all have transferrable skills, and we can support you with the skills that you need to develop. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at *************************** DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: USA || Austin, TX Job details: Developer Primary Recruiter: Jim Everett

At SAIC, we are at the forefront of technological innovation in supporting the Navy's operational, strategic, and fleet readiness. We are committed to solving complex challenges and advancing the state of the art in Maritime Position, Navigation, and Timing (M-PNT) systems. Join us as we continue to define the future of the Navy's warfighter, delivering unparalleled solutions that make the world more connected, secure, and efficient. **Position Overview** : We are currently seeking a highly skilled and motivated **Data Scientist** to join our talented team. This role requires advanced data analysis skills, including familiarity in machine learning, statistical analysis, data visualization, programming languages, and strong communication abilities, allowing them to design, develop, and maintain complex data models, dashboards, and analytics solutions, often mentoring junior team members while collaborating closely with stakeholders to translate data insights into actionable business decisions. **Work is performed on site in Norfolk, VA and Virginia Beach, VA.** _This position is contingent upon award news Spring of 2026._ **Key Responsibilities:** + Work with cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight. + Translate mission needs into an end-to-end analytical approach to achieve results. + Perform the pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval. + Familiarity with analytics, and visualization software and programming languages, including analytics methods for big data. + Determine the appropriate analytics based on the data and the desired outcomes, using techniques including feature detection, statistics, data mining, predictive modeling, machine learning, natural language processing, and business intelligence. + Interpret the validity of results and communicates the meaning of those results. + Follow a scientific approach to generate value from data, verifying results at each step. + Familiarity with feature engineering, model building, and presenting findings effectively to non-technical audiences. + Lead data science projects from conception to deployment, including defining project goals, data collection, analysis, and model evaluation. + Familiarity with machine learning models for predictive analytics, including hyperparameter tuning and model selection. + Manage and integrate large datasets from various sources, ensuring data quality and consistency. + Develop interactive dashboards and reports to visualize key business metrics and insights. + Guide and mentor junior data scientists on technical skills and best practices. + Translate data insights into actionable business recommendations and measure the impact of data science initiatives. **What You Can Expect:** + A culture of innovation, where your ideas and contributions are valued and make an impact. + Hands-on experience with state-of-the-art technology and field-testing opportunities. + A supportive environment that fosters professional growth and development. + Competitive salary and benefits package. **Qualifications** **Required Qualifications:** + Bachelors and three (3) years of professional experience with data science. + Familiarity with various machine learning algorithms like regression, classification, clustering, and deep learning to build predictive models. + Strong understanding of statistical concepts like hypothesis testing, confidence intervals, and statistical distributions to interpret data accurately. + Expertise in cleaning, transforming, and preparing complex datasets for analysis, including feature engineering to optimize model performance. + Ability to create compelling data visualizations using tools like Tableau, Power BI, and Matplotlib to effectively communicate insights to stakeholders. + Proficiency in programming languages like Python, and SQL for data manipulation, analysis, and model development. + Familiarity with cloud platforms like AWS, Azure, or GCP for scalable data processing and model deployment is desired. + Demonstrated written and verbal communication skills to present complex data insights to both technical and non-technical audiences, effectively collaborating with cross-functional teams. **Required Security Clearance:** + US Citizenship required. + Must possess or be able to obtain a Department of Defense (DoD) Secret security clearance. + Active Interim Secret or final Secret clearance is preferred. **Required certification-** **At least one relevant industry certification such as:** + CompTIA Cloud Essentials + Microsoft Technical Associate (MTA) + Certificate of Cloud Security (CCSK) + CompTIA A+ CompTIA Security+ EMC Data Science Associate (EMCDSA) + Cloudera Certified Data Scientist (CCDH) + Certified Information System Security Professional (CISSP) + Certified Cloud Professional (CCP) (Cloudera) + Microsoft Certified Professional Developer (MCPD) + Microsoft Certified Solution Developer (MCSD) + Microsoft Certified Solution Expert (MCSE)/Private Cloud SAIC accepts applications on an ongoing basis and there is no deadline. Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site. REQNUMBER: 2503225 SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability

Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: * Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. * Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices. * Write code to ensure the performance and reliability of data extraction and processing. * Support continuous process automation for data ingest. * Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. * Work with program management and engineers to implement and document complex and evolving requirements. * Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. * Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications: * Must be a US Citizen. * Must be able to obtain a Public Trust Clearance. * 7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models. * Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. * Proficiency in developing ETL processes, and performing test and validation steps. * Proficiency to manipulate data (Python, R, SQL, SAS). * Strong knowledge of big data analysis and storage tools and technologies. * Strong understanding of the agile principles and ability to apply them. * Strong understanding of the CI/CD pipelines and ability to apply them. * Experience with relational database, such as, PostgreSQL. * Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have: * Experience creating and consuming APIs. * Experience with DHS and knowledge of DHS standards a plus. * Candidates will be given special consideration for extensive experience with Python. * Ability to develop visualizations utilizing Tableau or PowerBI. * Experience in developing Shell scripts on Linux. * Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. * Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: * Health, Dental, and Vision * Life Insurance * 401k * Flexible Spending Account (Health, Dependent Care, and Commuter) * Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: ************************************* For more information about CGS please visit: ************************** or contact: Email: ******************* $112,597.33 - $152,810.66 a year

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.