div>Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications.
We are looking for a Senior Data Scientist, with experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content.
Springfield, VA15 days ago
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. You will work within a multi‑disciplinary team of data engineers, mission analysts, and cloud engineers to design, build, validate, and deploy analytic models that enhance decision advantage for operational users.
Bethesda, Maryland30+ days ago
You will design and prepare analytical datasets, conduct exploratory and statistical analysis, develop and maintain machine learning and forecasting models, configure and deploy AI/ML products, build interactive dashboards, and clearly communicate insights to higher education leaders and staff. Developing classification models to predict admitted student yield, enrolled student retention, or on-time graduation, and presenting results to university leaders designing programs to improve student outcomes and support institutional success.
McLean, Virginia23 days ago
ul>Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Washington, DC19 days ago
This role requires close collaboration with data engineering, architecture, application development, and operational teams to ensure AI/ML capabilities are production-ready, scalable, explainable, and integrated into enterprise workflows. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes.
There are recurring opportunities on this team for Analytic / BigData Software Developers, Full Stack Software Engineers, Web Application Developers, Java Developers, JavaScript Developers, Python Developers, Geospatial (GIS) Developers, ETL Developers, Data Scientists, Data Engineers, Data Analysts, AWS Engineers, DevOps Engineers, Cloud Migration Experts, and Geospatial Systems Engineers. The customer is excellent to work with, and there is a healthy mix of customer-driven requirements and team-driven ideas / innovation: engineers typically have freedom in choosing how to do things and which technologies to utilize.
This role provides technical and management leadership on major advanced data science assignments, developing advanced algorithms, models, and frameworks using machine learning, deep learning, natural language processing, and generative AI / large language models. We are seeking a Subject Matter Expert (SME)level Lead Data Scientist to leverage cutting-edge techniques to extract insights and patterns from large and complex datasets for the U.S. Census Bureaus Decennial Transformation and Application Modernization (DTAM) effort.
p>ActioNet is a CMMI-DEV Level 4, CMMI-SVC Level 4, ISO 20000, ISO 27001, ISO 9001, HDI-certified, woman-owned IT Solutions Provider with strong qualifications and expertise in Agile Software Engineering, Cloud Solutions, Cyber Security, and IT Managed Services. The Senior Data Scientist will provide full lifecycle data management including the design of highly scalable cloud-native architectures to support automated dynamic data collection, integration, storage, transformation, harmonization, analysis, reporting and dissemination needs.
p style="line-height:1.2;margin-top:16px;margin-bottom:16px">Hive Group, a HUBZone-certified SDVOSB and multiple award-winning organization, delivers innovative solutions to address complex, mission critical program challenges for the federal government. If you receive suspicious messages requesting payment or personal information, please report them immediately to talentacquisition@hive-llc.com.
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In this role, you will lead the design and delivery of analytics and machine learning solutions across policy, data, and document-centric AI engagements, working with complex real-world datasets from industrial and asset-intensive domains. Proven track record working with real-world, messy datasets (including unstructured/document data) across the full lifecycle: data preparation, modeling, evaluation, and deployment handoff.
li>Displaying analytic results visually and textually to communicate complex findings to both technical and non-technical audiences at all levels of the organization. You will apply deep subject matter expertise to develop policies, strategic implementation plans, and tailored training while leveraging data science to protect privacy rights and civil liberties.
Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelors Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics. As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
p>Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics.
As a Data Scientist on Capital One's People Strategy & Analytics team, you'll be on the leading edge of applying analytics to talent, combining artificial intelligence, machine learning, and social science to build models that seek to understand associate behavior, improve HR efficiency and tools, and inform strategies aimed at expanding Capital One's talent advantage.
Washington, DC30+ days ago
As a Data Scientist within the Center for Economic Intelligence, you will help drive analytics workflow and development by deploying modern approaches to data design, modeling, analysis, and visualization of macroeconomic and financial data. Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products.
Washington, DC30+ days ago
This individual should have a demonstrated track record of delivering complex analytical projects autonomously, staying ahead of the curve on technology and tool adoption, have a self-starter mentality, strong working knowledge of the AI and GenAI landscape and/or local economic development landscape, and a demonstrated ability to navigate a matrixed organization and drive progress across complex stakeholder environments. As a Data Scientist Lead within the Center for Economic Intelligence team, you will be a key strategic and technical partner in driving end-to-end data science executionfrom data curation, analytics and modeling to insight generationin collaboration with economic domain experts and cross-functional stakeholders.
McLean, Virginia30+ days ago
ul>Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Herndon, Virginia30+ days ago
li style="margin-bottom:0in;font-family:'arial' , 'helvetica' , sans-serif;font-size:10pt">Develop and implement data-driven solutions by leveraging Large Language Models (LLMs), including data preparation, deployment, model fine-tuning, and evaluation to create innovative applications. Proven experience applying advanced statistical methods, machine learning techniques, and programming tools to develop predictive and prescriptive models that support data-driven decision-making.
Zachary Piper Solutions is seeking a Transportation Data Scientist to join high-impact team applying AI/ML to transform safety, freight, and mobility outcomes. The Transportation Data Engineer will design, build, and evaluate AI/ML models using multimodal transportation data to advance mobility and transportation safety.
p style="margin:0pt 0pt 8pt">Responsibilities: - Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
Preferred Qualification:
- A significant share of your data analytics experience in direct support of military or intelligence community customers, demonstrating progressive technical development and mission-focused outcomes.
You will design and prepare analytical datasets, conduct exploratory and statistical analysis, develop and maintain machine learning and forecasting models, configure and deploy AI/ML products, build interactive dashboards, and clearly communicate insights to higher education leaders and staff. Projects You Will Work On:
Developing classification models to predict admitted student yield, enrolled student retention, or on-time graduation, and presenting results to university leaders designing programs to improve student outcomes and support institutional success.