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.
Washington, DC14 days ago
This vacancy is open to current permanent employees of the Department of Veterans Affair, Veterans Employment Opportunities Act, Military Spouses eligible, 30% or More Disabled Veterans, Schedule A, Peace Corp eligible, VA employees who are CTAP eligible, ICTAP eligible, P.L. 115.46 Sec 204 Appointment of qualified former VA career-career conditional employees, Reinstatement, Transfers, and Land Management eligible in the Washington, DC area. MINIMUM QUALIFICATION REQUIREMENT: You may qualify based on your experience and/or education as described below: GS-14 Level: Specialized Experience: One year of specialized experience (equivalent to the GS-13 grade level in the federal service); experience that equipped the applicant with the particular knowledge, skills and abilities (KSAs) and other characteristics to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled, in the normal line of progression for the occupation in the organization.
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, Virginia11 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 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.
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.
Rockville, Maryland30+ days ago
Design and implement models within key AMT areas of interest including: Pharmaceutical supply chain and chemical synthesis; Novel drug manufacturing technologies such as flow chemistry, process analytical technologies (PAT), pharmaceutical 3D printing; Environmental impact and total lifecycle analysis of pharmaceutical manufacturing and optimization against environmental impacts, cost of production. • Independently design, create, validate, and continually refine scalable multivariate models using machine learning algorithms such as gradient boosting, partial least squares (PLS), support vector machines, and neural networks along with advanced feature engineering, validation, and .
Identifies and solves business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining. Must have previous Provider data experience working with leadership on provider data issues, accuracy, and provider data interactions with claims and claims platforms.