Product Data Scientist

📋 Description

• Partner directly with Product and Engineering: frame the questions that matter, define success
• Define how product success is measured: establish metrics across activation, adoption, retention
• Support experimentation and launches: design measurement plans, analyze A/B experiments and
• Diagnose reliability and scaling behavior: join customer signals with request, replica, deployment
• Define the enterprise customer journey and measure feature adoption along the way
• Evaluate releases and recovery: measure traffic shifts, evaluate warm-up, drain, probe, and

🎯 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 practical experimentation experience, including test design, power
• Hands-on forecasting expertise, including ARIMA, Prophet, or comparable time-series methods, with
• 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.
• 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
• Company-facilitated 401(k)