Lead Data Scientist - Hands-on AI & Model Governance

US Health Partners, LLC; Washington (District of Columbia); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid working

Remote working budget

Learning & Development budget

Job summary

Elliptic is seeking a hands-on Lead Data Scientist to head data science within the Intelligence team in Washington, D.C. You will write code, guide a small team, and own model governance for the datasets and experiments powering our compliance platform.

Hire, set objectives, and partner across engineering, research, and investigations to scale capabilities such as clustering, attribution, heuristics, and labeling. Hybrid work options available in DC area.

Qualifications

• AI fluency demonstrated in data science workflows.
• Experience managing data scientists or ML engineers.
• Hiring into a technical team and defining hiring bars.
• Strong Python and SQL skills for large datasets.
• Ability to operationalize dataset quality and governance.
• Familiarity with modern data stack (cloud data lake, Spark/Databricks, AWS).
• Clear communication with technical and non-technical stakeholders.
• Based in Washington, D.C. or willing to relocate.
• US citizenship

Responsibilities

• Lead and grow Elliptic's data science team within Intelligence.
• Own model governance, validation, and production deployments.
• Frame research questions, run experiments, and form defensible recommendations.
• Stay hands-on with coding and review team work at a methodological level.
• Collaborate across functions to deliver platform capabilities.

Skills

AI fluency

Manage data scientists

Hire technical team

Python

SQL

Data science end-to-end

Modern data stack

Communication

Washington DC based

US citizenship

Tools

Spark/Databricks

AWS

Job description

Elliptic is seeking a hands-on Lead Data Scientist to head data science within the Intelligence team in Washington, D.C. You will write code, guide a small team, and own model governance for the datasets and experiments powering our compliance platform.

Hire, set objectives, and partner across engineering, research, and investigations to scale capabilities such as clustering, attribution, heuristics, and labeling. Hybrid work options available in DC area.