Senior Data Scientist

Responsibilities

• Lead end-to-end analytics projects, from defining metrics to analyzing data and delivering insights
• Partner with product leaders to define and measure goal metrics
• Design and analyze A/B tests, quasi-experiments, and causal analyses to measure the impact of product changes
• Accelerate product learning cycles through frameworks for experimentation, measurement, and iteration
• Analyze strategic opportunities to inform roadmap prioritization
• Build compelling narratives from complex data, presenting findings to technical and non-technical audiences
• Identify friction and opportunity across the customer lifecycle and translate findings into actionable strategies
• Develop and apply AI-assisted approaches to analysis, insight delivery, and data workflows
• Partner with data engineering and analytics engineering to improve data foundations and instrumentation

Requirements

• 7+ years of experience as a data scientist or analyst, with a track record of driving business impact through statistical analysis, experimentation, and predictive modeling
• Strong expertise in experimental design, causal inference, and statistical methods
• Excellent communication and data storytelling skills
• Strong business acumen connecting analysis to product strategy and business outcomes
• Proficient in Python or R
• Fluent in SQL
• Familiarity with a cloud-based data stack (e.g., Snowflake, dbt)
• Demonstrated curiosity about AI tools and emerging technologies

Nice-to-Haves

• Prior experience in a high-growth startup or SaaS company

Compensation & Benefits

• Base wage range: $167,500 - $184,250 per year (New York City Office)