Data Scientist, Product

You will own the metrics for a product area, identify where users get stuck or drop off, and turn those insights into product bets that ship. You will build instrumentation, semantic models, experiments, and proactive systems while maintaining trusted data quality, definitions, and lineage.

Responsibilities

  • Own metrics and funnels for a product area
  • Drive measurable improvement in activation, engagement, and retention
  • Identify opportunities in user behavior
  • Turn opportunities into product bets
  • Work with product managers and engineers to ship product bets
  • Design and run experiments
  • Build instrumentation, semantic models, and agents
  • Maintain data quality, definitions, and lineage

Requirements

  • Strong SQL and Python
  • Applied statistics
  • Experimentation, including A/B and growth testing
  • Understanding of user behavior, activation, engagement, and retention
  • Ability to build instrumentation, metrics, and agents
  • Ability to provide directional answers quickly and apply rigor when needed
  • Entrepreneurial approach
  • Ability to work with product and engineering teams

See also

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