Own predictive modelling work across critical business domains — including LTV, churn, retention, and early-signal customer quality assessment
Support the rollout of Relay's experiment infrastructure by establishing A/B testing standards
Partner closely with GTM, Sales, Finance, and Product to translate business questions into analytical problems
Define and improve core metric definitions to ensure consistent, trustworthy business insights
Deliver stakeholder-facing insights and presentations that tell a compelling story through data
Contribute to roadmap planning and influence prioritization across teams
Mentor junior data scientists and elevate team standards for impactful data science

Hands-on experience building and deploying predictive models (e.g., LTV, churn, lead scoring)
Deeply comfortable with SQL and Python for statistical analyses and problem-solving
Strong business instincts to understand metric importance and provide solutions
Experience with A/B testing and experimentation, capable of designing experiments from first principles
Thrives in ambiguous, fast-moving environments with quick ramp-up abilities
Clear, confident communication skills bridging technical and business areas
Familiarity with Snowflake and dbt is a strong plus; comfort working within a modern analytics stack is expected.

Senior Data Scientist

Key skills