Data Scientist - Senior LeidosData Scientist - SeniorFort Meade, MarylandMaster’s degree in an area related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education; or have Bachelor’s degree related to the labor category from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 17 years, as a substitute to the Master’s degree. The Leidos Intelligence Sector is seeking a highly motivated Data Scientist for USCYBERCOM J2 to conduct advanced data analytics, data engineering, data mining, exploratory and predictive analysis, and statistical analysis in support of informed analytic and operational decision-making.
Senior Data Scientist NOVACESSenior Data ScientistBaltimore, MDWork may include collecting, cleaning, and preprocessing data; developing and implementing predictive and statistical models; supporting asset readiness forecasting, inventory management, and operational optimization; and designing dashboards and data visualizations that provide actionable insights to SFLC leadership and stakeholders. Experience: 8+ years experience in data science, data engineering, analytics, modeling, or business intelligence experience supporting federal, DHS, DoD, Coast Guard, logistics, supply chain, readiness, operations research, or business performance environments.
Enterprise - Senior Data Scientist - Python, AWS, Splunk Erias VenturesEnterprise - Senior Data Scientist - Python, AWS, SplunkMarylandDescription We are seeking a Data Scientist/Analyst to apply strong cybersecurity, data science, Defensive Cyber Operations (DCO), and networking domain knowledge to support and train cyber operational teams to leverage intelligence and coordination applications and tools. Minimum of nine (9) + years of experience in cybersecurity operations-related fields with a Bachelor's in Information Technology, Cyber Security, or related field; or seven (7) years relevant experience with a Master's in related field; or High School Diploma or equivalent and thirteen (13) years relevant experience.
NewData Scientist Barrow Wise ConsultingData ScientistMDFull timeEnjoy problem-solving, need a venue to display your creativity, and emerging technologies pique your interest; if so, Barrow Wise Consulting, LLC is for you. Barrow Wise will continue to lead the industry in delivering new solutions to clients and persevere until the client is overjoyed.
AI Data Scientist Booz Allen HamiltonAI Data ScientistUsa, Maryland$99,000–$225,000 / yearOnsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. 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.
Data Architect OpenDataJobsData ArchitectWashington, DCWe are a data and technology innovation hub and a Benefit Corporation working at the center of the federal government's mission to deliver for client stakeholders and the US public, looking for highly motivated contributors who thrive when trusted to own a hard problem and equipped to deliver the solution. A high-performing team of developers, engineers, data scientists, architects, and strategists solving complex, real-world problems, with work that runs from strategy formulation to hands-on implementation.
Sr. Data Scientist- Operations Research Connecticut Fine Wine & SpiritsSr. Data Scientist- Operations ResearchMarylandThis role requires deep hands-on experience in operations research (OR), including building and solving large-scale optimization models, alongside strong data engineering and software skills to operationalize those solutions. Ability to design and maintain data pipelines for large-scale modeling workflows and experience working with large, complex datasets, including feature engineering and data validation.
Data Analyst OpenDataJobsData AnalystWashington, DCYour first assignment will likely include turning a federal program's operational data into numbers people can trust by: defining measures with the people who own the process, and writing down the business rules behind every number; writing the SQL that turns platform data on Amazon Aurora and related Amazon Web Services (AWS) data stores into clean, reconciled analytical datasets; building the recurring reports and dashboards a program actually uses, with documented measures, refresh schedules, and access controls; tracing discrepancies to their source: definitions, timing, filters, and source systems, until the number is explained; or. We are a data and technology innovation hub and a Benefit Corporation working at the center of the federal government's mission to deliver for client stakeholders and the US public, looking for highly motivated contributors who thrive when trusted to own a hard problem and equipped to deliver the solution.
Staff Data Engineer XometryStaff Data EngineerNorth Bethesda, MDEnterprise / partner integration experience – Prior work integrating with PLM, ERP, or large enterprise SaaS systems; partner Teamcenter experience (data model, BMIDE, Active Workspace APIs, AWC integrations) or comparable PLM exposure is a strong plus. You will be the data engineering lead for the digital thread that connects Xometry's platform to the partner ecosystem — Solid Edge, NX, Designcenter, and Teamcenter — building the pipelines, contracts, and observability that move quotes, parts, manufacturability signals, and pricing between the two systems in real time.
Data Scientist Power3 SolutionsData ScientistMarylandphysics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in NSA/CSS data holdings.
Senior Data Scientist MarkonSenior Data ScientistAnnapolis Junction, Maryland$150,000–$210,000 / yearFull timeExtensive experience with various database technologies including graph databases (e.g., Neo4j), SQL databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and vector databases. Our growing reach extends across 17 states, 116 countries, and 5 continents, where our team of dynamic professionals collaborates to deliver unparalleled program and project management services.
Data Scientist - TS/SCI required ParsonsData Scientist - TS/SCI requiredMarylandJoin a collaborative team of 500 professionals working across operations and technical disciplines, with a focus on Artificial Intelligence and Cloud Computing for advanced technology development, contributing to a diverse set of efforts over 5 years and a total value exceeding $600 million. The ideal candidate is innovative, highly skilled in data science methodologies, and adept at extracting actionable insights from complex datasets to support Army modernization and the warfighter.
Sr. Data Scientist Expert In Recruitment SolutionsSr. Data ScientistWoodlawn, MD$90–$105 / hourEMPLOYMENT TYPE : Long term Contract; Any work authorization, as long as the candidate has worked and lived in the USA for 3 years. Experience with Generative AI and Large Language Models (LLM).
Senior Data Scientist Kendrit Consulting GroupSenior Data ScientistBaltimore, MDFull timeYou will not only build sophisticated language models but also act as a technical leader, translating intricate data insights into strategic business decisions and collaborating closely with cross-functional teams. · Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models.
Cybersecurity - Data Scientist - Math, ML, Algorithm Erias VenturesCybersecurity - Data Scientist - Math, ML, AlgorithmAnnapolis Junction, MarylandWe are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers. Bachelor's degree in Data Science, Computer Science, Information Technology, or a related discipline from an accredited college or university is required.
Data Scientist Network Analyst Booz Allen HamiltonData Scientist Network AnalystUsa, MarylandOnsite : If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. 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.
Senior Data Scientist GormatSenior Data ScientistAnnapolis Junction, MDFull timePosition DescriptionDevelop, and maintain robust and scalable data pipelines for enterprise AI applications including defining appropriate data model conceptsDevelop high-performance data parsers for extremely large and complex datasetsImplement and manage various database systems, including graph, SQL, NoSQL, and vector databasesCollaborate with AI/ML engineers and data scientists to understand data requirements and optimize data access and retrieval for AI modelsEnsure data quality, integrity, and security across all data storage solutionsSupport the deployment and maintenance of AI applications by providing expert data engineering capabilitiesFamiliarity with AI concepts in the context of data storage, access, and retrievalContinuously optimize data infrastructure for performance, cost-efficiency, and scalabilityWhat Required Skills You'll Bring:Bachelor's degree in a relevant technical field with 8 years of experience; Master's degree in a relevant technical field with 5 years of experience; 4 years additional experience will be considered in lieu of degreeAdvanced proficiency in programming languages commonly used for data engineering (e.g., Python, Java, Scala)Demonstrated expertise in designing, developing, and optimizing data pipelines for large-scale enterprise environmentsProven experience with corporate dataflows and developing data parsers for extremely large datasetsExtensive experience with various database technologies including graph databases (e.g., Neo4j), SQL databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and vector databasesFamiliarity with cloud platforms (AWS, Microsoft Azure) for data storage and processingWhat Desired Skills You'll Bring:Experience with data governance, data security, and compliance best practicesFamiliarity with big data technologies such as Hadoop, Spark, or Kafka. Experience with data warehousing concepts and toolsContinuous learning mindset to stay abreast of cutting-edge data engineering and AI advancementsUnderstanding of machine learning concepts and their implications for data infrastructureExcellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teamsAbility to translate complex data requirements into actionable engineering solutionsTS/SCI with polygraph is required.
Data Scientist III FLASH Technology GroupData Scientist IIIMaryland$85,400–$100,500 / yearDesign, develop, and maintain ETL pipelines to extract security and compliance data from multiple sources (network sensors, security tools, compliance databases), transform the data for analysis and reporting, and load it into target data repositories to support continuous monitoring and automated assessments. •Support data engineering operations including data quality validation, pipeline monitoring, and optimization of data workflows to ensure reliable, scalable, and timely delivery of security-related data for Risk Management Framework automation and decision-making.
Data Scientist - Artificial Intelligence, Cloud & Automation LeidosData Scientist - Artificial Intelligence, Cloud & AutomationFort Meade, Maryland$131,300–$237,350 / yearFull-Spectrum Tool Development : Build AI-powered platforms for both computer network attack and computer network defense, using automated data pipelines to ingest and act on multi-source security telemetry. The Cyber & Analytics Business Unit with the Intel Sector at Leidos currently has an opening for a Data Scientist , with a deep understanding of Artificial Intelligence, Cloud, and Automation to support USCYBERCOM.
Senior Data Scientist, Product Analytics XometrySenior Data Scientist, Product AnalyticsNorth Bethesda, MDDefine success metrics and instrumentation across the in-CAD experience (Solid Edge, NX, Designcenter) and the Xometry marketplace, design cross-surface experiments and causal analyses that join the two funnels, work through the identity-resolution, attribution, and statistical-power challenges of low-volume enterprise cohorts, and quantify the funnel from designer intent in Teamcenter to manufactured part — making the digital thread's business impact legible to leadership. multi-surface / partner-integration analytics: Experience designing experiments and metrics across multi-surface or partner-integrated products (embedded experiences, CAD/PLM integrations, B2B SaaS plug-ins, extension or in-app funnels), including the identity-resolution, attribution, and statistical-power problems that come with low-volume enterprise cohorts.