Lead Data Scientist

Who are we? Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a Lead Data Scientist on our Analytics and Data Insights team, you'll tackle problems that don't have textbook answers yet; shaping go-to-market strategy for technology that's still being invented, designing the experiments that prove or kill our biggest bets, and helping enterprises understand what foundational AI actually means for their bottom line. You'll own the full analytical lifecycle, from framing the right questions and building the models, to leading a team that delivers answers leadership can act on. As a Lead Data Scientist, you will: 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. You may be a good fit, if you have: 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 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 If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form , and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Full-Time Employees at Cohere enjoy these Perks: 🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement 🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ✈️ 6 weeks of vacation (30 working days!)

{
  "content_hash": "23a4fca91bea465ede0b8cea990ee16bc601008ee3e92dbe076552698c79fd11",
  "source_hash": "952a91ea083dd76134d0eba22818f9a162d5fe3e736fc7b51ca9103df208a814",
  "last_changed_at": "2026-06-03T13:37:38.587Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "United States",
    "city": null,
    "region": null,
    "country": "United States",
    "is_remote": true,
    "confidence": 0.95
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T09:27:38.147Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "United States",
      "city": null,
      "region": null,
      "country": "United States",
      "is_remote": true,
      "confidence": 0.95
    },
    "countries": [
      "United States",
      "Canada"
    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}

{}

{
  "id": "39cab400-c976-41d9-9002-880ac6985b64",
  "team": "Agentic Platform",
  "title": "Lead Data Scientist",
  "jobUrl": "https://jobs.ashbyhq.com/cohere/39cab400-c976-41d9-9002-880ac6985b64",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/cohere/39cab400-c976-41d9-9002-880ac6985b64/application",
  "isListed": true,
  "isRemote": true,
  "location": "United States",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "Agentic Platform",
  "publishedAt": null,
  "workplaceType": "Remote",
  "employmentType": "FullTime",
  "secondaryLocations": [
    {
      "location": "Canada"
    }
  ]
}