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.
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.
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.
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 2 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.
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.
You will serve as a technical thought leader across GenAI initiatives, working closely with engineering, design, product, and data teams to build scalable, secure, and production‑ready systems using state‑of‑the‑art LLMs, RAG architectures, and AWS cloud services. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA.
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.
Arlington, VA30+ days ago
p>We are seeking a highly skilled and motivated AI Utilization Specialist with robust data science acumen to support the Headquarters United States Air Force Strategic Deterrence and Nuclear Integration, Nuclear Systems Integration Division (AF/A10XC). 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.
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.
Washington, DC30 days ago
A copy of your specific RIF notice; notice of proposed removal for failure to relocate; or a Certificate of Expected Separation (CES); or certification that you are in a surplus organization or occupation (this could be a position abolishment letter, a notice eligibility for discontinued service retirement, or similar notice); or notice of disability annuity termination; or certification from your former agency that it cannot place you after your recovery from a compensable injury; or certification from the National Guard Bureau or Military Department that you are eligible for disability retirement; or a copy of your SF-50 "Notification of Personnel Action" documenting your RIF separation, noting your positions, grade level, and duty location, and/or Agency certification of inability to place you through RPL, etc; nttt. n The primary purpose of this position is to support the Director, Office of Performance Excellence with integrating emerging technologies and innovative practices to improve the management, analysis, and presentation of the Department''s enterprise-wide performance data for better data-driven decision making, efficiency, and customer experience.
Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.
Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.
McLean, Virginia24 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.