Prepare technical documentation, reports, presentations, and other project deliverables
Support responsible AI practices, including explainability, trustworthiness, and AI risk management
What You Will Need
Level and Compensation: This position may be filled at multiple career levels based on business need and the selected candidate's qualifications, relevant experience, and demonstrated capability. Typical leveling for this role is as follows:
Junior (0 to 4 years)
Mid-Level (5 to 9 years)
Senior (10 to 14 years)
Principal (15 or more years)
These ranges are guidelines only and are not the sole determining factor in level. The posted compensation range reflects the full range across all possible levels. Individual offers will be based on the level at which the candidate is hired, as well as factors such as skills, experience, internal equity, and geographic market considerations where applicable.
Education and Experience
Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related STEM field; Master's degree preferred
Relevant professional experience applying data science, machine learning, or advanced analytics; the depth and scope of experience required will vary based on the level at which this position is filled
Experience working with large, real-world datasets across the full analytical lifecycle preferred
Experience supporting production or operational deployment of analytical or machine learning solutions a plus
Knowledge, Skills, and Abilities
Proficiency in Python and working knowledge of SQL
Experience with machine learning, predictive modeling, model evaluation, and feature engineering
Familiarity with NLP, GenAI, and LLM methods
Familiarity with deep learning, neural networks, anomaly detection, and time series methods
Strong communication skills, including the ability to explain technical findings clearly to varied audiences
Ability to develop reproducible analytical workflows and clear technical documentation
It Would be Nice if You Have
Experience in a federal, public sector, or regulated data environment
Familiarity with survey, demographic, statistical, or population-scale data
Exposure to record linkage, entity resolution, or matching models
Experience with synthetic data, differential privacy, or responsible AI practices
Reporting Relationships
Reports directy to the Chief Data Scientist or a Manager, Director, or Executive role.
Location
This position is based in the Washington, D.C. metro area, with primary work performed in Suitland, Maryland. Remote or hybrid arrangements may be available for eligible work, subject to government approval.
Notice: This role has been opened for a future need expected within three months of the original posting date of this position. Potential candidates may not receive communication until the open headcount is confirmed.
