Lead Data Scientist
Data Scientist · Lead · Full Time · Remote
Opens Cohere's application page
Role
What you'll do.
Cohere is seeking a Lead Data Scientist to drive advanced analytics and insights for their AI platform. The ideal candidate will lead experimental programs, build predictive models, and shape strategic decisions across product, sales, and research teams, working at the forefront of AI technology and innovation.
Responsibilities
- Experimental Design: Lead and design comprehensive A/B tests, multi-armed bandit experiments, and causal inference studies to drive product and go-to-market decisions
- Predictive Modeling: Develop and deploy advanced forecasting, segmentation, propensity scoring, and opportunity sizing models across Cohere's core business lines
- Team Leadership: Manage and mentor a team of data scientists and analysts, setting high technical standards and creating a collaborative work environment
- Strategic Partnerships: Collaborate across product, research, sales, and finance teams to define and execute strategic growth initiatives
- Analytical Prioritization: Define analytical priorities, allocate resources, and drive initiatives from conceptualization to production implementation
Qualifications
What we look for.
Technical
Advanced Statistical Skills
Expertise in statistical inference, experimental design, and predictive modeling techniques
Programming Proficiency
Strong command of SQL, Python, and version control with Git
Education
Advanced Degree
Ph.D. or Master's degree in Data Science, Statistics, Machine Learning, Computer Science, or related quantitative field preferred
Experience
Leadership Experience
Proven track record of leading analytics or data science teams
Complex Problem Solving
Demonstrated ability to transform ambiguous business questions into rigorous analytical problems
Skills
Required
SQL
Advanced data querying and manipulation skills
Python
Comprehensive programming and data science capabilities
Git
Version control and collaborative software development
Statistical Inference
Advanced statistical analysis and experimental design
Predictive Modeling
Building and deploying machine learning models
Preferred
BigQuery
Nice to haveCloud data warehouse experience
dbt
Nice to haveData transformation and modeling tool
Looker
Nice to haveBusiness intelligence and data visualization platform
Airflow
Nice to haveData pipeline and workflow management
Tech stack
Languages
Frameworks
Databases
Tools
Other
Compensation
Pay and benefits.
Base·USD 180,000 – 250,000
Equity·Stock options
Benefits
Health Benefits
Comprehensive health and dental coverage with additional mental health budget
Parental Leave
100% salary top-up for up to 6 months of parental leave
Vacation
6 weeks of annual vacation (30 working days)
Personal Enrichment
Stipends for arts, culture, fitness, well-being, and workspace improvements
Remote Flexibility
Remote-first work arrangement with co-working stipend and global office locations
Lunch Benefits
Weekly lunch stipend and in-office meals and snacks
Process
Interview steps.
- 01
Initial Screening
Phone or video call with recruiting team to assess background and initial fit
- 02
Technical Assessment
Take-home data science challenge or live coding/analysis interview
- 03
Leadership Interview
Meeting with senior data science and engineering leadership to evaluate strategic thinking and team management capabilities
- 04
Final Panel Interview
Comprehensive interview with cross-functional team members including product, research, and analytics leaders
Full posting
Original listing.
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!)
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