Data Scientist

About the Role

The Data Scientist role is critical for developing analytics capabilities. Your work will focus on providing data-driven insights from a wide range of structured and unstructured data sources, including platform data, payer claims, health information exchange feeds, and EHRs. You'll become a subject matter expert on all things data, working closely with clinical, operations, product, and engineering teams to develop the technology and services that enable multi-disciplinary, community-based treatment teams to provide compassionate care to individuals living with severe mental illness.

This is a unique opportunity to join a small but growing team, where you’ll have the chance to develop many foundational data capabilities from scratch. You have a growth mindset and are excited about expanding your technical skills and taking on new responsibilities as the team and company grow.

Responsibilities

• Collaborate across the company to design and implement clinical, operational, financial, and product KPIs
• Conduct deep-dive analyses to uncover patterns, trends, and relationships within the data, presenting findings to drive maximum impact
• Evolve core data models to support emerging use cases, and develop frameworks and testing strategies to maintain high data quality
• Design, develop, and validate production-ready statistical models and machine learning algorithms
• Build out the reporting and dashboarding layer to support self-service analytics
• Partner with data engineers to develop internal data tooling
• Work with data and software engineers to integrate analytical outputs into user-facing applications

About You

• 5-7 years of analytics experience, including at least 2 years working with healthcare data
• Advanced SQL skills, including familiarity with dbt
• Proficiency in Python for data analysis (experience with PySpark a plus)
• Experience applying statistical analysis, predictive modeling, and machine learning techniques to real-world problems
• Strong understanding of experimental design, hypothesis testing, and causal inference
• Experience with analytical data stores like Delta Lake, Snowflake, BigQuery, etc.
• Experience with Databricks strongly preferred
• Familiarity with data visualization and dashboarding tools
• Excellent communication skills and an ability to collaborate on a growing team
• A detective mindset – you love getting to the root of problems and using data to solve them