Data Scientist / AI/ML Engineer (Imagery) VAWFH 1652 Global InfoTek, Inc.Data Scientist / AI/ML Engineer (Imagery) VAWFH 1652Reston, VA$100,000–$250,000Certifications in machine learning, data science, or related fields (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning Specialty, IBM Machine Learning Professional Certificate, Google Professional Machine Learning Engineer Certification, IABAC: Certified Machine Learning Expert Certification, etc. GITI is looking for a Machine Learning (ML) Engineer with documented expertise to be responsible for researching, developing, architecting, and integrating ML models, algorithms, tools, and techniques into existing or new environments.
Data Scientist Pantheon DataData ScientistWashington, DCRemote$80,000–$150,000 / yearFull timeIf you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our Talent Team at Recruiting@pantheon-data.com or by phone (571) 363-4020.This company uses E-Verify to confirm each employee's work authorization. Our service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management, strategic communications, engineering, and cybersecurity.
NewCampus - Data Science Intern (Analytics & Modeling Program) Fannie Mae CorpCampus - Data Science Intern (Analytics & Modeling Program)Washington, DCAs a Data Science Intern, you will develop and apply technical and analytical skills by researching open-ended questions, leveraging our data to produce insights, and providing consultative services to extend Fannie Mae's dynamic credit risk management capabilities. Throughout the summer, you will also participate in hackathons in areas such as Geospatial Analysis and Logistic Regression alongside your fellow Analytics Interns to gain broader exposure to the Data Science world.
Preserve Data Integration Specialist USA The Nature ConservancyPreserve Data Integration SpecialistArlington, VirginiaRemote$53,680–$73,990The Preserve Data Integration Specialist will work across teams within the Leveraging our Lands program to collect, manage and maintain preserve-based infrastructure data and provide technical support in ArcGIS or other relational database technologies to Conservancy staff. The person in this role will identify and collect existing field data and conduct field-based infrastructure and accessibility assessments for approximately 150 preserves to be identified in collaboration with the Leveraging Our Lands - Visitor Activation Strategy Team.
ETL Data Engineer NoblisETL Data EngineerReston, Virginia$90,700–$141,775 / yearFull timeAdditional experience supporting a broad range of data engineering functions, including data extraction, transformation, and loading (ETL), data mapping, data analysis, analytical support, operational support, database support, and the maintenance of data and associated systems. Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws.
Construction Safety Data Analyst HITT ContractingConstruction Safety Data AnalystFalls Church, VirginiaThe Safety Data Analyst is a key team member of the safety team responsible for designing and maintaining safety data reporting environments, analyzing key leading and lagging indicators, and delivering actionable insights that strengthen field execution and enable proactive hazard recognition. Partner with business unit leaders, including other data managers, to enhance current systems and tools specific to construction safety metrics and help create and execute a roadmap to predictive analytics for construction safety.
NewData Analyst, Junior Booz Allen HamiltonData Analyst, JuniorUsa, District of ColumbiaAs a client-facing data analyst on our National Security team, you’ll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to help find the pieces of their information puzzle. Onsite : 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.
Human Capital Data Analyst Booz Allen HamiltonHuman Capital Data AnalystChantilly, VirginiaOnsite : 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. As a client-facing Data Analyst on our National Security team, 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.
NewData Visualization Engineer Booz Allen Hamilton Inc.Data Visualization EngineerMclean, VA$112,800–$257,000 / yearAbility to collaborate with business analysts or users to clarify requirements, work closely with different business groups to comprehend and respond to their reporting and dashboard needs, be self-motivated, and pay strict attention to detail. Onsite: 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.
NewData Scientist, Lead Bigbear.aiData Scientist, LeadWashington, Washington, DCFull timeOverview: BigBear.ai is seeking a Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific techniques to correlate data into graphical, written, visual, and verbal narrative products to enable more informed analytic decisions. The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
NewSr. Data Scientist Bigbear.aiSr. Data ScientistWashington, Washington, DCFull timeOverview: BigBear.ai is seeking a Senior Data Scientist to conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific techniques to correlate data into graphical, written, visual, and verbal narrative products to enable more informed analytic decisions. The successful candidate should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
Associate Director of AI and Data AxleAssociate Director of AI and DataRockville, Maryland$150,000–$190,000 / yearSitting at the nexus of our Data Science and Biomedical Research divisions, you will oversee the strategic development and deployment of high-performance AI/ML solutions that empower federal health agencies, including the National Institutes of Health (NIH) and the National Center for Advancing Translational Sciences (NCATS). You will be the technical conscience and strategic driver for a diverse portfolio of projects, ranging from the optimization of our open-source Polus platform to the implementation of Generative AI pipelines for drug discovery and high-dimensional data analysis.
Director Data Success CitianDirector Data SuccessWashington, DCStrong proficiency in Python and Jupyter (for exploratory data analysis, writing scripts, aggregating datasets, working with data scientists/GIS developers, etc.). Our engineers and data scientists apply the latest in emerging tech, Artificial Intelligence, and Machine Learning to build smarter, more advanced tools for our diverse client base.
Data Engineering Lead CitianData Engineering LeadWashington, DCStrong proficiency in Python and Jupyter (for exploratory data analysis, writing scripts, aggregating datasets, working with data scientists/GIS developers, etc.). Our engineers and data scientists apply the latest in emerging tech, Artificial Intelligence, and Machine Learning to build smarter, more advanced tools for our diverse client base.
Principal AWS Data Platform & ML Ops Architect (Remote, Continental United States) (Remote) ICA.aiPrincipal AWS Data Platform & ML Ops Architect (Remote, Continental United States) (Remote)Arlington, VARemoteStrong hands-on AWS architecture experience key for Data, AI, ML Engineering including S3, DynamoDB, Lambda, ECS, Fargate, or AWS Batch, Step Functions, SQS, SNS, and EventBridge, OpenSearch Service, Glue and Athena, SageMaker, IAM, KMS, and CloudWatch. We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services.
Principal AWS Data Platform & ML Ops Architect (Remote, Continental United States) ICA.aiPrincipal AWS Data Platform & ML Ops Architect (Remote, Continental United States)Arlington, VARemote$170,000–$174,000Strong hands-on AWS architecture experience key for Data, AI, ML Engineering including S3, DynamoDB, Lambda, ECS, Fargate, or AWS Batch, Step Functions, SQS, SNS, and EventBridge, OpenSearch Service, Glue and Athena, SageMaker, IAM, KMS, and CloudWatch. We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services.
Senior Data Governance Analyst ConsultNetSenior Data Governance AnalystRockville, MDWorking closely with senior leadership, this role supports the implementation of enterprise-wide data governance frameworks designed to enhance data quality, ensure compliance, enable responsible AI adoption, and maximize the value of data across business operations. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact.
NewWorkday Data Conversion Lead GroundswellWorkday Data Conversion LeadReston, VirginiaThe ideal candidate will combine deep Workday data conversion expertise, strong technical and data management skills, and workstream leadership experience to drive data quality, conversion readiness, and successful execution throughout the Workday implementation lifecycle. The Workday Data Conversion Lead will work with data owners and stakeholders across multiple client organizations to lead data extraction, mapping, harmonization, cleansing, transformation, validation, reconciliation, and conversion into Workday.
Head of Enterprise Data Strategy and Governance National Cooperative Bank. N.A.Head of Enterprise Data Strategy and GovernanceArlington, VirginiaThis leadership role establishes and executes a comprehensive strategy to ensure that data and information assets are trusted, governed, secure, accessible, and leveraged to support strategic growth, operational excellence, regulatory compliance, innovation, and informed decision-making. • Collaborate with Infrastructure, Application Development, and business stakeholders to ensure alignment between business requirements, data architecture, and technology capabilities to ensure SLAs, business continuity, and disaster recovery scenarios.
Senior Data Engineer Absolute Business Solutions CorpSenior Data EngineerBethesda, MD$125,000–$255,000 / yearWorking closely with data scientists, software engineers, and infrastructure teams, you will build and maintain Elasticsearch and graph-based data platforms that enable efficient storage, discovery, and analysis of complex hierarchical data. Provide specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of COTS/GOTS in place of new development, and requirements analysis and synthesis from system level to individual software components.