Customer Data Scientist (Statsig)

Role overview

Join Amplitude as a Customer Data Scientist focused on experimentation and applied statistics. You’ll act as the primary experimentation expert during customer evaluations, helping teams design, run, and scale trustworthy experimentation programs.

Responsibilities

• Serve as the primary experimentation expert across customer discovery through proof of concept.
• Partner with customers and internal teams to advise on:
  • Experiment design and statistical methodology
  • Measurement frameworks and experimentation architecture
• Educate customers on experimentation best practices, including:
  • Metric development
  • Variance reduction
  • Results interpretation
• Build repeatable frameworks and enablement materials for experimentation adoption.
• Work closely with data scientists, engineers, and technical leaders; translate technical findings into practical product decisions.

Requirements

• Experience building/scaling/supporting experimentation programs in a product-led technology company.
• Hands-on experimentation expertise, including designing, running, and analyzing A/B tests.
• Strong background in applied statistics, experimental design, and causal inference.
• SQL and Python proficiency; experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
• Experience with experimentation platforms such as Statsig (or similar: Eppo, Optimizely, LaunchDarkly).
• Direct customer/stakeholder experience communicating advanced concepts to technical and business audiences.
• 5+ years in Data Science, Experimentation, Analytics, Applied Statistics, or related.
• Willingness to travel ~10–25%.

Nice-to-haves (from the posting)

• Experience using Python or R for statistical analysis, experimentation, and data modeling.
• Advanced experimentation methods: variance reduction, holdouts, sequential testing, and related techniques.