Data Scientist

Our mission is to help organizations turn any growth idea into reality.

We see growth as a creative practice not a formula. Finding and reaching your best-fit customers takes unique ideas and constant iteration. As AI makes execution faster and tactics easier to copy creativity is the only lasting advantage. Were already helping thousands of customers including Anthropic Notion Google and Ramp go to market with unique data signals and AI research.

In 2025 we raised a $100M Series C backed by world-class investors including Sequoia CapitalG and First Round and crossed $100M in revenue.

In 2026 we announced our second employee tender offer in 9 months at a new $5B valuation. We also launched a community equity round for our customers agency partners and club members.

Some things to know about us:

• Our community includes 11000 customers 150 integration partners 125 agencies 50 Clay clubs and 30k members on Slack.

• Our culture is unique inside and outside of work. Our team members are also DJs activists writers clowns marathoners skydivers psychedelic therapists social workers and more.

• All employees can work for free with world-class coaches who specialize in creativity management and more.

• Our operating principles including negative maintenance and non-attached action guide our work. Read more about them here.

• Read about us in the NYT Forbes First Round Review and more.

Hear from our employees directly on our Glassdoor page!

Were looking for a Data Scientist to join Clays Data Science and Analytics team. Youll be durably embedded with a partner teamProduct Marketing Sales Finance or Partnershipsas their full data partner with the deep context to shape what gets built and how the business runs backed by a central data team that operates as one center of excellence.

This role is for someone who wants to own challenging ambiguous problems end to end: designing experiments building predictive models and designing new metrics to guide out business. Data scientists at Clay are strategic leaders and trusted truth-tellers. Plus we are among the fastest growing AI businesses and our team is at the bleeding edge of AI-enabled data science.

Own causal inference and experimentation

Design and analyze experiments and build incrementality measurement where clean A/B tests arent possible (e.g. propensity-score matching to estimate true lift of features and GTM channels).

Define how we measure the business

Shape metric trees that connect team-level metrics to company outcomes establish success criteria for product launches and build frameworks for sizing and forecasting impact. Build predictive models that lead our team to focus on what matters most.

Go deep on the toughest questions

Root-cause anomalies investigate nuanced behavioral questions and build new analysis frameworks where existing patterns dont fit. Use data to teach all of Clay what we should be focusing on and what we can ignore.

Partner as an embedded expert

Work as the direct analytical partner to leaders in your area turning ambiguous strategic questions into rigorous decision-ready analysis.

5 years in data science with demonstrated ownership of experimentation causal inference or predictive modeling

Strong product and business sense: you connect analysis to decisions and revenue and have a demonstrated track record of directly influencing product and business decisions with your work

Strong statistical and experimentation foundations: experiment design effect estimation a large exploratory analysis toolkit and knowing when a result shouldnt be trusted

Expert SQL and Python

Experience using AI tools (Claude Code Cursor or similar) to accelerate analytical work: our team is AI-forward and our workflows heavily utilize these tools

Clear communicator who can influence senior stakeholders

Experience with our stack: Snowflake Github dbt Hex Sigma Dagster

Experience in product-led growth or B2B SaaS especially usage-based pricing

Experience partnering with ML engineers to productionize models

At Clay AI handles routine analytical questions so your time goes to the problems that require your expertise: causal inference prediction and the deep dives that change decisions. Youll help shape how a fast-scaling company measures growth and makes decisions. We value ownership thoughtfulness creative problem-solving and a relentless focus on impact.

Required Experience:

IC