Lead Data Scientist

About the Role

• Cohere is a leading security-first enterprise AI company that builds cutting-edge foundation AI models and end-to-end products to solve real-world business problems. We are training and deploying frontier models for enterprises building AI systems, believing our work is instrumental to the widespread adoption of AI. We obsess over what we build, with each team member responsible for increasing model capabilities and customer value. Cohere is a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany, and Paris.
• As a Lead Data Scientist on the Analytics and Data Insights team, you will tackle problems that don't have textbook answers, shaping go-to-market strategy for new technology, designing experiments that validate key initiatives, and helping enterprises understand the impact of foundational AI. This role involves owning the full analytical lifecycle, from framing questions and building models to leading a team that delivers actionable insights for leadership. The team's work will directly influence product development and company strategy.

Responsibilities

• Drive the mission forward.
• 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: no waiting around. You'll 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.
• A proven ability to turn ambiguous business questions into rigorous analytical problems, with clear and compelling recommendations to match.
• Experience leading analytics or data science teams, with a track record of making smart people faster.
• Genuine excitement about AI - you follow the research, have opinions, and enjoy being in the weeds.
• Comfort operating in ambiguity, managing complex multi-workstream roadmaps, and distilling insights into a concise, actionable narrative.
• A leadership style grounded in empathy as much as in data.

Qualifications

Familiarity with modern data stack tools such as BigQuery, dbt, Looker, or Airflow.