Data Scientist

About Clay

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, especially in a world where AI rewards the teams who think differently. We're already helping thousands of customers - including Anthropic, Waste Management, Figma, and Ramp - go to market with unique data, signals, and AI research.

In 2025, we crossed $100M in revenue and raised a $100M Series C at a $3.1B valuation, backed by world-class investors including Sequoia, Capital

G, and First Round. We also completed our first first employee tender offer and launched a community equity round, for our customers, agency partners, and club members.

Some things to know about us:

* Our community includes 11,000+ customers, 150+ integration partners, 125+ agencies, and 50+ Clay clubs.

* 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 about us in the NYT, Forbes, First Round Review, and more.

Hear from our employees directly on our Glassdoor page!

Data Science @ Clay

We're looking for a data science "Olympian" to own full-funnel insights-from shaping our data infrastructure and asking the right questions to running experiments and delivering sharp analyses. You'll play a pivotal role in driving strategic decisions and building a data-driven culture. Our data stack is best in class (we use Snowflake, dbt, Dagster, Hex, Sigma, Eppo, and Census)

Impact You'll Have

* Drive strategic insights:
Own the full-funnel insight process, transforming data into actionable recommendations for go-to-market and product

* Deliver clarity:
Translate complex data findings into simple, actionable insights that resonate with both technical and non-technical stakeholders

* Set up data infrastructure:
Contribute to building and scaling our data transformation and orchestration capabilities, ensuring accurate and timely data delivery

* Empower self-serve analytics:
Develop a robust self-serve analytics platform that empowers all teams to access and leverage data effectively

* Champion a data-driven culture:
Establish best practices that encourage non-data teams to use insights effectively

* Experiment:
Design and set up experiments that test hypotheses and measure impact, driving continuous improvement in processes and products

What You'll Bring

* 4+ year experience

* Expert in SQL and Python or R

* Robust understanding of statistical and machine learning methods

* Experience with data transformation tools (dbt) and data orchestration tools (Dagster or Airflow)

* Live in New York (or willing to relocate)