Lead Data Scientist

Job summary

Responsibilities

We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.

• 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…
• 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…
• Act like an owner: no waiting around. You'll define analytical priorities, allocate resources, and push initiatives from question to production.

What they're looking for

• 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
• Familiarity with modern data stack tools such as BigQuery, dbt, Looker, or Airflow (nice to have, not essential)
• Genuine excitement about AI - you follow the research, have opinions, and enjoy being in the weeds

Tech stack

• SQL
• Python
• BigQuery
• dbt
• Looker
• Airflow