Lead Data Scientist

Lead data scientists design and execute experiments like A/B tests and causal inference to inform product and go-to-market decisions, build predictive models for forecasting and segmentation, and manage a team of analysts while shaping company strategy.

About the job

Responsibilities

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.
Build predictive models that matter: develop and deploy models for forecasting, segmentation, propensity scoring, and opportunity sizing across Cohere's core business lines.
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.
Act like an owner: define analytical priorities, allocate resources, and push initiatives from question to production.
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.

Requirements

Strong command of SQL, Python, and Git, alongside deep expertise in statistical inference, experimental design, and predictive modeling.
Proven ability to turn ambiguous business questions into rigorous analytical problems, with clear and compelling recommendations.
Experience leading analytics or data science teams, with a track record of making smart people faster.
Familiarity with modern data stack tools such as BigQuery, dbt, Looker, or Airflow (nice to have).
Comfort operating in ambiguity, managing complex multi-workstream roadmaps, and distilling insights into a concise, actionable narrative.
Genuine excitement about AI.