Data Scientist

Jobtailor; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Jobtailor in San Francisco is seeking a data analytics leader to advance our agentic analytics and AI impact measurement. You will own end-to-end analytics from data to decisions, building production models and customer-facing insights.

You will collaborate with product, research, sales, and finance to distill complex data into concise narratives, run experiments, and ship models that matter for adoption and growth.

Qualifications

• Strong command of SQL, Python, and Git, alongside expertise in statistical inference, experimental design, and predictive modeling.
• Ability to turn ambiguous business questions into rigorous analytical problems with clear recommendations.
• Experience deploying production models, not just notebook analysis.

Responsibilities

• Drive the mission forward by building bleeding-edge agentic analytics.
• Define AI impact measurement and end-to-end analytics for adoption, growth, and impact.
• Ship customer-facing analytics that demonstrate value to enterprise customers.
• Build language models to categorize and enrich message data for visibility.
• Design and run experiments (A/B tests, causal inference, opportunity sizing).
• Develop and deploy production predictive models across core business lines.
• Act like an owner, prioritizing analytics initiatives and delivering to production.

Skills

SQL

Python

Git

Statistical inference

Experimental design

Predictive modeling

Ambiguity management

Communication

Tools

BigQuery

dbt

Looker

Airflow

Job description

• 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.

Requirements

• 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.
• 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 weedsComfort 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

Core Competencies

Demonstrates expertise in SQL, Python, and Git for building and deploying predictive models, while effectively managing ambiguity and collaborating across teams to drive impactful analytics solutions.

Highest-signal resume keywords

• SQL
• Python
• Git
• Predictive Modeling
• Experimental Design

ATS Optimization Keywords

Hard Skills

• Statistical Inference
• A/B Testing
• Causal Inference
• Forecasting
• Segmentation
• Propensity Scoring
• Opportunity Sizing
• Production Model Deployment

Soft Skills

• Collaboration
• Empathy
• Communication
• Problem-Solving

Industry Keywords

• Agentic Analytics
• AI Impact Measurement
• Customer-Facing Analytics
• Data Visibility

Tools & Technologies

• BigQuery
• Dbt
• Looker
• Airflow