Lead Data Scientist

Cohere Cohere · AI Frontier · United States · Agentic Platform

Lead Data Scientist on the Analytics and Data Insights team, responsible for shaping go-to-market strategy for AI technologies, designing experiments to validate product bets, and helping enterprises understand the implications of foundational AI. The role involves owning the full analytical lifecycle, including framing questions, building predictive models for forecasting, segmentation, and propensity scoring, and leading a team of analysts and data scientists. This role will partner across product, research, sales, and finance to define growth strategies and ensure analytical work is integrated into products and strategy.

What you'd actually do

  1. Own the science: design and lead experimentation programs including A/B tests, multi-armed bandits, causal inference studies, that directly map to product and go-to-market decisions.
  2. Build predictive models that matter: develop and deploy models for forecasting, segmentation, propensity scoring, and opportunity sizing across Cohere's core business lines.
  3. Lead and grow a team: manage a team of analysts and data scientists. Set the technical bar, mentor aggressively, and create an environment where exceptional people do their best work.
  4. Act like an owner: no waiting around. You'll define analytical priorities, allocate resources, and push initiatives from question to production.
  5. Shape strategy: partner across product, research, sales, and finance to define how Cohere grows. Your team's work will get built into products and implemented into strategy.

Skills

Required

  • SQL
  • Python
  • Git
  • statistical inference
  • experimental design
  • predictive modeling
  • leading analytics or data science teams
  • making smart people faster

Nice to have

  • BigQuery
  • dbt
  • Looker
  • Airflow

What the JD emphasized

  • lead experimentation programs
  • develop and deploy models
  • Lead and grow a team
  • define analytical priorities
  • Shape strategy