Data Scientist, Product

Skills

About the Role

You will embed with Product and Engineering as an analytical partner, define core metrics, design experiments and causal analyses, analyze usage and go-to-market signals, build dashboards, develop models and forecasts, and communicate recommendations to technical and executive audiences.

Requirements

• 5+ years in data science, product analytics, economics, statistics or other quantitative field
• Track record using SQL, Python and statistical methods
• Experience defining new metrics and measurement frameworks
• Fluency in experimentation, causal inference, A/B testing and statistical modeling
• Strong product instincts
• Excellent written and verbal communication
• Comfort creating structure in ambiguous environments

Responsibilities

• Embed with Product and Engineering teams as analytical partner
• Define and maintain core product metrics
• Design and evaluate A/B tests and causal inference experiments
• Analyze product usage, customer segments and go-to-market signals
• Build dashboards, reports and self-serve tools
• Develop models, forecasts and analytical frameworks
• Translate analyses into clear recommendations
• Partner with Engineering and Data teams to improve analytics infrastructure
• Establish standards and practices for Product Data Science

Benefits

• Equity