Skip to content
CohereCohereSan Francisco, CA

Data Scientist, North Insights

Data Scientist on the Analytics and Data Insights team building agentic analytics, AI impact measurement, customer-facing insights, small language models for data enrichment, experiments, and predictive models that drive product and GTM strategy at Cohere. Requires strong SQL/Python, production modeling experience, statistical expertise, and excitement about AI.

150k – 225k/yr
HybridData Science

About the role

Responsibilities

  • Build bleeding-edge agentic analytics to bring order and clarity to real world data.
  • Define AI impact measurement: own end-to-end analytics around adoption, growth, and impact to prioritize features by measured value.
  • Ship customer-facing analytics and insights that demonstrate value created for enterprise customers.
  • Build small language models to categorize, classify, and enrich message data for visibility into product usage.
  • Design and run experiments including A/B tests, causal inference studies, and opportunity sizing for product and go-to-market decisions.
  • Build predictive models for forecasting, segmentation, propensity scoring, and opportunity sizing.
  • Define analytical priorities, push initiatives from question to production, and own deliverables end-to-end.
  • Turn ambiguous business questions into rigorous analytical problems and deliver clear recommendations.
  • Collaborate with product, research, sales, and finance teams.

Requirements

  • Strong command of SQL, Python, and Git.
  • Expertise in statistical inference, experimental design, and predictive modeling.
  • Proven ability to turn ambiguous business questions into rigorous analytical problems with compelling recommendations.
  • Experience building and deploying production models (not just notebook analysis), including taking classifiers from prototype to production.
  • Genuine excitement about AI; follow the research and have opinions.
  • Comfort operating in ambiguity, managing multiple workstreams, and distilling insights into actionable narratives.
  • Collaborative style grounded in empathy as much as data.

Nice-to-Haves

  • Familiarity with modern data stack tools such as BigQuery, dbt, Looker, or Airflow.
  • Experience with small language models for categorization and classification tasks.

Skills

SQLPythonGitstatistical inferenceexperimental designpredictive modelingBigQuerydbtLookerAirflowsmall language models

Similar roles

Data Science jobs
Arena

Data Scientist

ArenaCalifornia

Data Scientist designing and analyzing A/B tests, causal inference experiments, and retention frameworks (cohorts, churn, DAU/WAU/MAU) to drive product growth and user engagement at Arena Intelligence. Requires 3+ years in experimentation, strong stats background, SQL/Python/PySpark skills.

150k – 350k/yrHybrid3+ YOEData Science
Partiful

🔬 Data Scientist

PartifulNew York, NY

Analyzes large datasets to derive actionable insights, monitors performance trends, runs A/B tests, and builds data infrastructure to guide product decisions and drive growth at a consumer social events startup. Requires 3-5 years experience, SQL/Python fluency, and startup background.

150k – 190k/yrHybrid3+ YOEData Science
Figma

AI Applied Scientist

FigmaSan Francisco, CA +1

Drive AI research and build generative AI models using techniques like SFT, RL, and prompt engineering to enhance Figma products. Requires 4+ years in Generative AI, 6+ years in ML/NLP/CV, and strong Python skills.

149k – 350k/yrRemote4+ YOEData Science
Harvey

Data Scientist, Product

HarveySan Francisco, CA

Product Data Scientist embedded with Product and Engineering to define metrics, run experiments, and turn product usage data into actionable recommendations for AI platform decisions.

155k – 240k/yrHybrid5+ YOEData Science
Lightning AI

Data Scientist

Lightning AINew York, NY

The Data Scientist partners across Product, Sales, and Engineering to analyze usage, improve business decisions, build data pipelines, and deliver actionable dashboards. The role requires 5+ years of data science or product analytics experience, strong SQL and Python skills, and experience with BI tools and cloud infrastructure.

160k – 245k/yrHybrid5+ YOEData Science