Data Scientist
General Services Administration
Data Scientist
We are currently filling 3 vacancies, but additional vacancies may be filled as needed.
Position can be filled in any of the following locations: Washington, DC; Boston, MA; New York, NY; Philadelphia, PA; Atlanta, GA; Chicago, IL; Kansas City, MO; Fort Worth, TX; Lakewood, CO; San Francisco, CA; Tacoma, WA; Norfolk, VA; Orlando, FL; Tampa, FL; Houston, TX; or San Antonio, TX.
As a Data Scientist, you will serve as a senior authoritative subject matter expert for developing new methods to automate reports, develop predictive models, and analyze trends and collaborates with Federal, Academic, and Industry partners.
- Responsible for development, management, control, coordination, and execution of data analysis requirements providing technical expertise across data life cycle (i.e. data collection, ingestion, storage, modeling, access, integration, analysis and related support).
- Conducts analysis using software and/or programming languages (e.g. R, Python, SQL) to explore/group data, test hypotheses, predict outcomes, and inform decisions; leverages artificial intelligence (AI) tools to streamline and inform improved processes; consults with stakeholders and customers to develop appropriate data, approach, and design.
- Analyzes data elements, systems, dependencies, and relationships between data models and data processes; utilizes software and/or programming languages (e.g. R, Python, SQL) to improve data reliability, efficiency and quality.
- Leads teams in developing data products and definitions, using appropriate analytic and statistical software to programmatically prepare and clean imperfect data for analysis; consults with stakeholders and customers to develop data, methodological approaches, and design for projects to evaluate program effectiveness and forecast future budget requirements.
- Translates concepts, findings, and limitations into concise, plain language presentations; and interprets analytical outputs tailored to specific audiences.
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