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Hiring now · posted 211d ago Tech Full-time · Remote

Lead Data Scientist

at Cohere

$190,000–$325,000/yr

Salary range published by Cohere. Final pay depends on level and location.

Remote · United States Language: English Posted 30 Mar 2026

About this role

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Who are we?

Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.

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.

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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.

We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!

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

Full-Time Employees at Cohere enjoy these Perks:

  • A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.

  • Full health and dental benefits, including a separate budget for mental health.

  • RRSP matching, 401K, Pension Scheme.

  • 100% Parental Leave top-up for up to 6 months, for either parent.

  • Annual enrichment benefits:

    Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.

    Education & learning stipend for conferences, courses, and coaching.

  • 6 weeks of paid vacation (30 working days!)

  • Budget for traveling to other offices if you are remote, plus an annual company offsite.

How and Where We Work:

  • Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.

  • For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.

  • For those not near an office: a co-working benefit so you can work alongside others in your city.

  • Everyone receives a $500 home office stipend to set up your workspace properly.

If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.


We 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.

Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through ourofficial careers page.

This is a remote role. Applicants must be located in: United States.

How applying works

  1. Click Apply now and enter your email.
  2. You go straight to the application. We email you a copy of this role and your link.
  3. You apply on Cohere's own careers page. Zekai is not the employer and never charges you.
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What to know before you apply

Pay
This is a yearly figure, so it is closer to a full-time contract than a side gig. Check the expected weekly hours in the description before you apply.
Location
Only applicants located in United States can be paid for this role. Platforms usually verify where you are, so apply only if you are based there.
How to stand out for data scientists
  • Mirror the job's own wording in your CV: reviewers and screening tools look for the skills listed above.
  • Show real work: a portfolio, GitHub, case study or numbers from past projects beats a long list of duties.
  • Show how you already use AI tools in your work. AI companies hire people who use their products well.
  • Apply early and follow up once, politely, if you hear nothing in two weeks.
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