Senior Data Scientist, Product

Scribe

. Partner with product teams to identify opportunities and understand user behavior, engagement, retention, and long-term trends .

Posted 11/3/2026full-timeSan Francisco • California • United StatesSenior💰 $170,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and experimentation, with a strong focus on product metrics, A/B testing, and statistical methodologies. Proven ability to mentor teams and drive data culture within organizations.

Highest-signal resume keywords

Data AnalysisA/B TestingSQL ExpertiseStatistical KnowledgeProduct Metrics Definition

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceExperimental DesignHypothesis TestingStatistical AnalysisMachine Learning DeploymentNatural Language ProcessingData VisualizationData Culture DevelopmentQuantitative AnalysisQualitative Insights

Soft Skills

StorytellingMentoringCollaborationCommunicationProblem-Solving

Tools & Technologies

SnowflakeSigmaMixpanelDbt CloudLookerPythonR

Industry Keywords

Enterprise SaaSProduct AnalyticsExperimentation StandardsData-Driven Decision MakingUser Engagement

Tech Stack

Tools & technologies

CloudPythonSnowflakeSQL

About the role

Key responsibilities & impact

Partner with product teams to identify opportunities and understand user behavior, engagement, retention, and long-term trends
Design and analyze experiments and develop a rigorous experimentation culture across the company
Develop and test hypotheses with data
Define and monitor key product metrics, KPIs, and dashboards
Produce new datasets that unlock business opportunities
Build product data culture through reproducible work, improved processes, and better tooling
Collaborate directly with product, design, engineering, executive leadership, product managers, and engineers
Transform raw data from 5M+ users into clear, actionable insights
Mentor data-team members on statistics, experimentation, and analytical best practices
Help define product analytics and experimentation standards as the first product data scientist

Requirements

What you’ll need

8+ years of experience as a data scientist or data analyst, with significant experience partnering with product teams
Strong knowledge of statistics and experimental design
Hands-on experience running A/B tests and making sound decisions when experiments are not possible
Strong technical proficiency in Snowflake, Sigma, Mixpanel, dbt Cloud, and Looker
Expert SQL skills
Fluency in Python or R
Ability to balance quantitative data with qualitative insights to drive product decisions
Excellent storytelling in writing and visualizations
Experience building technical and semantic infrastructure for internal natural language agents and agentic automation
Experience in high-paced Enterprise SaaS startups with a strong self-serve motion is a bonus
Experience as the first or founding data scientist on a product team is a bonus
Experience using AI tooling to create a step-function change in product-team decision-making is a bonus
Experience deploying machine learning models in production is a bonus
Experience mentoring analysts or data scientists is a bonus

Benefits

Comp & perks

Comprehensive health, dental, and vision plans, including two $0/month medical plan options for employees
Equity ownership
401(k) Plan through Vestwell
$500/year flex benefit for home office equipment, productivity tools, learning & development, or fitness/wellness
$100/month commuter benefits for San Francisco-based employees
Flexible paid time off and company holidays
Paid parental leave
Free Talkspace membership
One Medical access (location-dependent)
Kindbody discounts for family planning