Data Scientist, Product Analytics

Role: Product Data Scientist (Product Analytics)

Whatnot is looking for a Product Data Scientist to partner with Product, Engineering, Design, and Operations to drive insights, experimentation, and data-driven decision-making across the company.

Responsibilities

• Define and own product KPIs for product health, user engagement, and marketplace performance
• Analyze user behavior and marketplace dynamics to identify opportunities and inform product priorities
• Translate complex analyses into actionable recommendations for product and leadership teams
• Design, implement, and evaluate A/B tests and feature rollouts with product and engineering partners
• Develop measurement frameworks including causal inference and long-term product evaluation
• Create scalable methods to measure feature performance and guide iteration
• Build data products and self-serve tools, including dashboards and data pipelines, using the company’s modern data stack
• Improve data accessibility and quality and support instrumentation for new product features
• Advocate for measurement culture, communicate insights to technical and non-technical stakeholders, and influence roadmaps

Requirements

• 3+ years of experience in Data Science, Decision Science, or Analytics in a product-focused organization
• Bachelor’s degree in a quantitative field (Computer Science, Economics, Statistics) or equivalent experience
• Proven statistical/analytical methods applied to real-world product problems

Technical Skills

• Advanced SQL and experience with modern data warehouses (Snowflake, BigQuery, Redshift)
• Experience with Spark and/or DBT
• Proficiency in Python or R for analysis, modeling, and experimentation
• Experience designing and analyzing A/B tests

Location / Work Setup

• US-based role with flexibility to work from home or from global hubs
• Must live within commuting distance of New York, Seattle, Los Angeles, or San Francisco hubs