# Lead Data Scientist

**Company:** [Cohere](https://hotfix.jobs/companies/cohere)
**Location:** Remote
**Role:** Data Science
**Skills:** SQL, Python, Git, BigQuery, dbt, Looker, Airflow, A/B Testing, Causal Inference, Predictive Modeling
**Posted:** 2026-03-30

> 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.

## Job Description

## 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.

## Nice-to-Haves
- Leadership style grounded in empathy as much as in data.

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