Data Scientist

Role overview

Use data analysis and statistical reasoning to surface patterns in how medical professionals use digital services and turn those findings into product and client-facing insights. You’ll work in cross-functional delivery teams with data scientists, engineers, analysts, and product managers, contributing from data ingestion and analysis through recommendations. The work also helps inform data team priorities and planning.

Responsibilities

- Analyze large datasets to identify and classify behavioral patterns among medical professionals using a digital platform. - Develop analytics that support both product decisions and external client needs. - Partner with product leaders and managers to shape data priorities and contribute to team strategy. - Lead or contribute to data projects across ingestion, analysis, interpretation, and recommendations. - Communicate findings and proposed solutions clearly to stakeholders through effective visualizations and storytelling.

Requirements

- At least 2 years of professional experience as a data analyst or data scientist. - Knowledge of statistical methods, exploratory data analysis, and probability. - Strong SQL skills, including complex queries across multiple tables and related datasets. - Proficiency with Python data analysis libraries such as Pandas and NumPy, and basic understanding of object-oriented programming. - Familiarity with distributed data processing concepts and tools, such as columnar storage or Spark. - Curiosity about data, ability to learn quickly, and strong communication skills.

Benefits and work setup

The role can be based at a San Francisco headquarters or worked remotely within the United States. Listed benefits include medical, dental, and vision coverage, a 401(k) match, flexible paid time off and holidays, parental leave, professional development, wellness resources, and remote-work support or a home-office stipend where applicable.