Data Scientist, North Insights

Summary

Cohere is the leading security-first enterprise AI company, building cutting-edge AI models and products. As a Data Scientist on the Analytics and Data Insights team, you will tackle complex problems, build analytics that shape company strategy, and deliver insights that drive value for enterprise customers.

Responsibilities

• Drive the mission forward
• Build bleeding-edge agentic analytics: Agentic analytics is far from a solved problem, and we want to be the company that solves it. We need the sharpest minds with the curiosity, drive, and focus required to build the tools necessary to bring order and clarity to real world data
• Define AI impact measurement: own the end-to-end analytics story around adoption, growth, and impact that North leadership uses to prioritize features by measured value rather than customer feedback alone
• Ship customer-facing analytics: insights that our enterprise customers recognize as evidence of value created
• Build small language models to categorize, classify, and enrich message data to give customers visibility into how their teams are using our products in their enterprise
• Design and run experiments: A/B tests, causal inference studies, and opportunity sizing 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
• Act like an owner: no waiting around. You'll define analytical priorities within your scope, push initiatives from question to production, and own what you build

Skills

• Strong command of SQL, Python, and Git, alongside 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 building and deploying production models, not just notebook analysis. You know what it takes to get a classifier down the stack from prototype to production volume
• Genuine excitement about AI: you follow the research, have opinions, and enjoy being in the weeds
• Comfort operating in ambiguity, managing multiple workstreams across different stakeholders, and distilling insights into a concise, actionable narrative
• A collaborative style grounded in empathy as much as in data; you work alongside product, research, sales, and finance, not in a silo
• Familiarity with modern data stack tools such as BigQuery, dbt, Looker, or Airflow (nice to have, not essential)

Qualifications

Must Haves

• Strong command of SQL, Python, and Git, alongside 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 building and deploying production models, not just notebook analysis. You know what it takes to get a classifier down the stack from prototype to production volume
• Genuine excitement about AI: you follow the research, have opinions, and enjoy being in the weeds
• Comfort operating in ambiguity, managing multiple workstreams across different stakeholders, and distilling insights into a concise, actionable narrative
• A collaborative style grounded in empathy as much as in data; you work alongside product, research, sales, and finance, not in a silo

Nice to Haves

• Familiarity with modern data stack tools such as BigQuery, dbt, Looker, or Airflow (nice to have, not essential)

Benefits

• 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.
• Cohere is remote-friendly (offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming 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.