Senior Data Scientist: Production ML for Patients (Remote)

Harnham; North Carolina; Remote; USD 171,000 - 209,000; Full time

Job summary

Harnham partners with a fast-growing healthcare technology company hiring multiple Senior Data Scientists to expand their Data Science function. You will own ML problems end-to-end, from feasibility to production, with a focus on patient matching, engagement, forecasting and decision support.

Ideal candidates have 5+ years of hands-on DS experience, strong Python/SQL, and a track record of deploying models to production. Remote US-based work with EST alignment is offered.

Qualifications

• 5+ years of hands-on Data Science experience
• Strong Python and SQL
• Strong foundation in predictive modeling and statistics
• Experience building models that have been deployed into production
• Experience with experimentation and model evaluation
• Ability to independently tackle ambiguous, open-ended problems
• Strong communication skills across technical and non-technical teams

Responsibilities

• Build and deploy predictive models that improve patient matching and engagement
• Develop recommendation systems and forecasting models
• Design experiments and apply statistical methods to understand what actually drives outcomes
• Turn ambiguous healthcare and product problems into well-defined Data Science solutions
• Own models from initial development through deployment, monitoring, and iteration
• Partner directly with Product and Engineering to identify where ML can create the most value
• Translate model performance and analytical findings into decisions that non-technical stakeholders can act on

Skills

5+ yrs DS

Python

SQL

Predictive modeling

Statistics

Production deployment

Experimentation

Communication

Tools

Databricks

Snowflake

Cloud ML tooling

Job description

Harnham partners with a fast-growing healthcare technology company hiring multiple Senior Data Scientists to expand their Data Science function. You will own ML problems end-to-end, from feasibility to production, with a focus on patient matching, engagement, forecasting and decision support.

Ideal candidates have 5+ years of hands-on DS experience, strong Python/SQL, and a track record of deploying models to production. Remote US-based work with EST alignment is offered.