Data Scientist, Product

Own the metrics for a product area, identify user drop-off points, and turn insights into product bets that ship. 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 and turn them into product bets
  • Work with product managers and engineers to ship product bets
  • Design and run experiments and act on the results
  • 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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