Senior Data Scientist, Product

Scribe•San Francisco, CA
•$170,000 - $220,000

About The Position

Scribe is hiring its first Senior Data Scientist for Product to establish product data science practices and help guide product investments. The role partners with product, design, and engineering teams to understand user behavior, identify opportunities, and measure product impact. It reports directly to the Head of Data and works closely with executive leadership, product managers, and engineers. The position is highly visible and focuses on converting data from Scribe’s users into actionable insights that support growth of the self-serve business.

Requirements

  • At least 8 years of experience as a data scientist or data analyst, including significant experience partnering with product teams on products customers value.
  • Strong knowledge of statistics and experimental design, including hands-on experience running A/B tests and making sound decisions when experiments are not possible.
  • Strong technical proficiency with Snowflake, Sigma, Mixpanel, dbt Cloud, and Looker; expert SQL skills; and fluency in Python or R.
  • Customer mindset and ability to combine quantitative data with qualitative insights to inform product decisions.
  • Excellent written and visual storytelling skills.
  • Low-ego, hands-on approach, with willingness to own work from instrumentation through analysis.
  • Proactive, high-output approach to bringing insights and data to teams.
  • Focus on business outcomes and ability to choose between rigorous experimentation and quick, approximate analysis to support action.
  • Experience building technical and semantic infrastructure for internal natural-language agents and agentic automation.

Nice To Haves

  • Experience at a fast-paced Enterprise SaaS startup 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 using AI tooling.
  • Experience deploying machine learning models in production.
  • Experience mentoring analysts or data scientists.

Responsibilities

  • Partner with product teams to identify opportunities and understand user behavior, engagement, retention, and long-term product trends.
  • Own experimentation by designing and analyzing experiments and promoting a rigorous experimentation culture across the company.
  • Develop and test hypotheses using data.
  • Define and monitor product metrics through consistent tracking, KPIs, and dashboards, and produce datasets that unlock business opportunities.
  • Build product data culture through reproducible work, improved processes, and better tooling.
  • Help shape the growing team and mentor teammates on statistics, experimentation, and analytical best practices.

Benefits

  • Comprehensive health, dental, and vision plans, including two $0/month medical plan options for employees.
  • Equity ownership.
  • 401(k) plan through Vestwell.
  • $500 per year for home office equipment, productivity tools, learning and development, or fitness and wellness.
  • $100 per month in 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), and Kindbody discounts for family planning.
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