Product Data Scientist

📋 Description

• Partner with Product and Engineering to frame the questions that matter, define success criteria
• Define product success metrics across activation, adoption, retention, expansion, reliability, and
• Design measurement plans for launches, analyze A/B experiments and controlled rollouts, and turn
• Map the enterprise customer journey and measure feature adoption at each stage.
• Evaluate releases and recovery by measuring traffic shifts, analyzing warm-up, drain, probe, and
• Analyze customer and cohort behavior and share clear recommendations.

🎯 Requirements

• 5+ years of experience in product data science, product analytics, or another quantitative role
• Deep SQL and Python fluency, with a track record of analyzing large event-level datasets and
• Strong statistical judgment and hands-on experimentation experience, including test design, power
• Hands-on forecasting experience with ARIMA, Prophet, or comparable time-series methods, including
• Experience designing medallion data architectures, including raw, conformed, and business-ready
• Familiarity with dbt, semantic layers, data ontology, and BI tools such as Sigma or Hex.

🎁 Benefits

• Competitive compensation, including meaningful equity
• (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve
• Paid parental leave
• Fertility and family-building stipend through Carrot
• (U.S. only) Company-facilitated 401(k)