Senior Data Scientist, Product

As the first Senior Data Scientist for Product, you'll partner with product, design, and engineering teams to understand user behavior, identify opportunities, and measure the impact of what they build. Reporting directly to the Head of Data, you'll define how Scribe approaches product analytics and experimentation, set standards future data scientists will build on, and mentor members of the data team. The role works directly with executive leadership as well as product managers and engineers, transforming raw data from Scribe's 5M+ users into actionable insights that drive self-serve business growth and investment decisions.

Responsibilities

Partner with product teams to drive insights, identifying opportunities and understanding user behavior, engagement, retention, and long-term trends across the Scribe product; Own experimentation by designing and analyzing experiments, and developing and socializing a rigorous culture of experimentation throughout the company; Lead with hypotheses, developing and testing them with data rather than only looking for patterns in existing data; Define and monitor key product metrics through consistent tracking, KPIs, and dashboards, and produce new datasets that unlock business opportunities; Play a foundational role in building product data culture through reproducible work, improved processes, and better tooling; Help shape the team as it grows, with the opportunity to mentor teammates on statistics, experimentation, and analytical best practices

Requirements

Have 8+ years of experience as a data scientist or data analyst with significant time partnering with product teams on products that customers love; Strong knowledge of statistics and experimental design, with hands-on experience running A/B tests and making sound calls when experiments aren't possible; Strong technical proficiency in Snowflake, Sigma, Mixpanel, dbt cloud, and Looker, with expert SQL and fluency in Python or R; Customer mindset, adept at balancing quantitative data with qualitative insights to drive product decisions, and an excellent storyteller in writing and visualizations; Low ego, willing to roll up sleeves and own everything from instrumentation to analysis; Proactive, high-output orientation, pushing insights and data onto teams rather than waiting for requests; Outcomes over output, knowing when to run a rigorous experiment versus doing quick napkin math to bias towards action; Experience building technical and semantic infrastructure to power internal natural language agents and agentic automation

Nice to have

Experience working in high-paced Enterprise SaaS startups, with a strong self-serve motion; Experience as the first or founding data scientist on a product team; Experience creating a step-function change in a product team's decision-making with the help of AI tooling; Experience deploying machine learning models in production; Experience mentoring analysts or data scientists

Benefits

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