Data Scientist
Office of Human Resources Management
Washington, DC • 8m ago • Hybrid
Senior
Hybrid
74,678 - 138,370 USD/yr
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Quick Facts
Role: Data Scientist (HR/People Analytics)
Seniority: GS-11 to GS-13 (starting salary range provided)
Locations: Indianapolis, IN; Minneapolis, MN; Washington, D.C.
Description
As a Data Scientist, you will provide expert analysis to support data-driven decision making across HRM areas such as recruiting, hiring, and retention. You will apply advanced data science, mathematical, and statistical techniques to extract insights from structured and unstructured data and guide solutions to complex human capital challenges. The role involves forecasting critical issues and improving measurement and analytics for large-scale programs.
Responsibilities
Use advanced data science techniques (extraction, transformation, cleaning, modeling) to process structured and unstructured data and derive insights
Apply quantitative, statistical, and computer science methods to interpret very large datasets for forecasting and personnel-decision support
Advise on measurement strategies for design, development, deployment, maintenance, and enhancement of large-scale analytics projects
Perform quantitative and qualitative analysis and data quality assurance using statistical, business intelligence, data analysis, and/or AI software
Create analytics outputs such as dashboards and communicate findings through reports and presentations
Requirements
U.S. citizenship
Degree in Mathematics, Statistics, Computer Science, Data Science, or a directly related field (or equivalent education/experience)
Primary U.S. residency for at least three of the last five years
Ability to pass a background investigation
Pre-employment processes conducted in English
Specialized experience appropriate for GS-11/GS-12/GS-13 level, including data science work with structured/unstructured data and dashboard/reporting tasks
Benefits
A comprehensive federal benefits package is provided to employees and their families; eligibility depends on the type of position and work schedule.
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