Senior Product Data Scientist - Experimentation & Insights

Scribe; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Healthcare Coverage

Equity

401(k) Plan

Flex Benefit

Commuter Benefits

PTO

Parental Leave

Wellness & Family Support

Job summary

Scribe is seeking a Senior Data Scientist for Product to partner with product, design, and engineering teams to understand user behavior, measure impact, and shape analytics standards. Reporting to the Head of Data, you will transform 5M+ users' data into actionable insights and help grow the self-serve business with rigorous experimentation.

You will mentor the data team, lead with hypotheses, and define metrics, dashboards, and data infrastructure to enable data-driven decision making across

Qualifications

• 8+ years of experience as a data scientist or data analyst, partnering with product teams.
• Strong knowledge of statistics and experimental design; experience with A/B tests.

Responsibilities

• Partner with product teams to drive insights into user behavior, engagement, retention, and trends.
• Own experimentation at Scribe by designing, analyzing experiments, and promoting rigorous experimentation culture.
• Lead with hypotheses, testing them with data and avoiding bias.
• Define and monitor key product metrics with dashboards and data assets.
• Build foundational product data culture with reproducible work and tooling.
• Mentor teammates on statistics, experimentation, and analytical best practices.

Skills

8+ years data science

Statistics & experimental design

Storytelling with data

Data-driven product partnering

Tools

Snowflake

Sigma

Mixpanel

dbt cloud

Looker

SQL

Python or R

Job description

Scribe is seeking a Senior Data Scientist for Product to partner with product, design, and engineering teams to understand user behavior, measure impact, and shape analytics standards. Reporting to the Head of Data, you will transform 5M+ users' data into actionable insights and help grow the self-serve business with rigorous experimentation.

You will mentor the data team, lead with hypotheses, and define metrics, dashboards, and data infrastructure to enable data-driven decision making across