Senior Data Scientist, Product
Scribe
About the role
About Scribe
Scribe is where exceptional people come to do the best work of their careers. More than 94% of the Fortune 500 use Scribe to own their specialized intelligence: the unique way their teams work, decide, and get things done. Our Specialized Intelligence platform automatically captures how work happens and turns it into a living asset for people and AI agents.
We're growing fast. Since our founding in 2019, we've reached 7 million users across 600,000 businesses. Based in San Francisco, we're a LinkedIn Top Startup, valued at over $1B, and backed by leading investors. Join us in our mission to transform how people work.
tl;dr – Why this role matters
At Scribe, data is the foundation of how we make decisions — we take it very seriously. With 5M+ users and a fast-growing self-serve business, our product team ships quickly and needs to know what’s working, for whom, and why. We’re looking for our first product data scientist to answer our most important questions about how customers use Scribe, bring rigor to how we experiment, and lay the foundation of product data science that will shape the next generation of product investments.
Hiring Manager: Melanie Herscher, Head of Data
About the role
As the first Senior Data Scientist for Product, you’ll partner with our product, design, and engineering teams to understand user behavior, identify opportunities, and measure the impact of what we build. Reporting directly to the Head of Data, you’ll define how Scribe approaches product analytics and experimentation, and set the standards that future data scientists will build on. From day one, you’ll also have the opportunity to mentor members of the data team and raise the bar for analytical rigor across Scribe.
This role is highly visible, working directly with executive leadership as well as the product managers and engineers who own each area of the product. You will transform raw data from Scribe’s 5M+ users into clear, actionable insights, and your work will be central to how we grow our self-serve business and decide where to invest next.
Key responsibilities of this role include:
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 at Scribe 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 the data already in front of us.
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 at Scribe 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.
What makes you a great fit
You’d be a great fit for this role if this sounds like you:
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 our tech stack – 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. You care about building things and recognize that this may require rolling your sleeves up, getting in the trenches, and owning everything from instrumentation to analysis
Proactive, high-output orientation. You push insights and data onto teams rather than waiting for requests to emerge from them
Outcomes over output. You thrive on creating business value and know when to run a rigorous experiment v/s doing ugly napkin math to bias towards action
Experience building technical and semantic infrastructure to power internal natural language agents and agentic automation
Bonus Points
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
Healthcare Coverage – Comprehensive health, dental, and vision plans, including two $0/month medical plan options for employees
Equity – Ownership in what we're building
401(k) Plan – through Vestwell
Flex Benefit – $500/year for home office equipment, productivity tools, learning & development or fitness/wellness
Commuter Benefits – $100/month for SF based employees
PTO – Flexible paid time off and company holidays
Parental Leave – Paid leave to support growing families
Wellness & Family Support – Free Talkspace membership, One Medical access (location-dependent), and Kindbody discounts for family planning
At Scribe, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. Scribe is proud to be an Equal Opportunity Employer.
Our Worker Privacy notice can be found here.
Responsibilities
- Partner with product teams to analyze user behavior, engagement, retention, and product opportunities.
- Design and analyze experiments and build a rigorous experimentation culture.
- Define and monitor product metrics, KPIs, dashboards, and datasets.
- Establish reproducible processes, tooling, and standards for product data science.
- Mentor data team members and raise analytical rigor across the company.
Qualifications
- 8+ years of experience as a data scientist or data analyst, including significant partnership with product teams.
- Strong knowledge of statistics and experimental design, with hands-on A/B testing experience.
- Expert SQL and proficiency in Python or R; experience with Snowflake, Sigma, Mixpanel, dbt Cloud, and Looker.
- Ability to combine quantitative and qualitative insights and communicate findings effectively.
- Experience building technical and semantic infrastructure for natural language agents and agentic automation.
- Customer-focused, proactive, and comfortable owning work from instrumentation through analysis.
Benefits
- Comprehensive health, dental, and vision coverage, including two $0/month medical plan options.
- Equity ownership.
- 401(k) plan.
- $500 annual flexible benefit for home office, productivity tools, learning and development, or wellness.
- $100 monthly commuter benefit for San Francisco-based employees.
- Flexible paid time off and company holidays.
- Paid parental leave.
- Talkspace membership, One Medical access where available, and Kindbody discounts.
Skills mentioned
About Scribe
Every organization has its own way of doing things: how your best people really work, the judgment calls, the exceptions, the workarounds. It's your company’s most valuable dataset, and almost none of it is written down. It lives in peoples’ heads. You can’t use it, and you certainly don’t own it. And when they leave, it leaves. Scribe is trusted by 94% of the Fortune 500 to turn what your teams actually do — which we call specialized intelligence — into a living asset you own. Scribe structures your company’s IP and puts it back to work for your teams and AI agents.