Position Details
About this role
Builds and operationalizes predictive models to improve mental health outcomes, working closely with cross-functional teams to turn data into actionable insights.
Key Responsibilities
- Partner with product teams to define questions and metrics
- Design and analyze experiments
- Build predictive models
- Translate insights into recommendations
- Maintain data quality and integrity
Technical Overview
Utilizes Python, SQL, React, and cloud platforms like AWS to design experiments, develop predictive models, and analyze behavioral data in healthcare IT context.
Ideal Candidate
The ideal candidate is a senior data scientist with strong experience in causal inference, predictive modeling, and data analysis, preferably with healthcare or healthcare IT background. They should be proficient in Python, SQL, and cloud platforms like AWS, with excellent communication skills and the ability to translate messy data into actionable insights.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience in causal inference or predictive modeling, No proficiency in Python or SQL, No experience with AWS or cloud platforms, No relevant healthcare IT background
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