Why This Job is Featured on The SaaS Jobs
This Lead Data Scientist role sits at the intersection of product analytics and go to market decision making, a common leverage point in modern SaaS where usage data, experimentation, and commercial outcomes are tightly linked. The listing signals a company building an AI platform for developers and enterprises, which typically implies complex adoption funnels, evolving product surfaces, and the need to translate technical capability into measurable customer value.
For a SaaS career, the durable upside is end to end ownership of the analytical lifecycle: framing ambiguous questions, designing experiments, building predictive models, and operationalising insights into decisions that affect roadmap and revenue. The emphasis on partnering across product, sales, finance, and research reflects how senior data science in SaaS increasingly functions as a strategic layer, not a reporting function, and builds transferable skill in measurement, causal thinking, and scaling analytics programs.
This position is best suited to someone who prefers autonomy, can prioritise across multiple workstreams, and is comfortable making recommendations with imperfect information. It also fits a leader who enjoys raising the bar for a small team while staying close to hands on technical work in SQL and Python, particularly in AI adjacent SaaS contexts.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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.
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!)
