Senior Data Scientist

Key Responsibilities

• Own product and operational analytics across the platform, including retention, cohort behavior, funnel performance, and engagement.

• Define and maintain the core metrics the company runs on, and make sure they mean the same thing to everyone.

• Partner with Product and Engineering to instrument new features correctly and measure whether they worked.

• Build analyses that answer open-ended operational questions, not just recurring reports.

• Translate findings into clear recommendations for technical and non-technical audiences, including leadership.

• Investigate anomalies in the data and drive them to root cause.

• Build and maintain the dashboards, models, and data hygiene practices that make analysis repeatable.

Requirements

• 3+ years of experience in data science or analytics, ideally in a product-driven environment.

• BS or equivalent, with a track record of strong analytical and logical reasoning.

• Demonstrated depth in product or operational analytics: retention analysis, cohort analysis, funnel and engagement measurement.

• Strong SQL and fluency in Python or R for analysis.

• Genuine problem-solving orientation. You are comfortable with ambiguous questions and can define the analysis yourself.

• Excellent communication and storytelling. You can walk through a problem you solved, the approach you chose, and why, and make it land with a non-technical audience.

• Comfort operating in a fast-moving startup where the question changes before the dashboard is finished.

Nice to Have

• Experience in healthcare, digital health, or another regulated data environment.

• Experience building analytics infrastructure from an early stage.

Work Environment

• NYC HQ preferred. Remote is possible for exceptional candidates.

• We have video on for our weekly team syncs and technical discussions. Camera is required to be on during meetings.