Clay
Data Scientist
at
Clay
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This range is provided by Clay. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $155,000.00/yr - $210,000.00/yr
About Clay Clay is a creative tool for growth. Our mission is to help businesses grow — without huge investments in tooling or manual labor. We’re already helping over 100,000 people grow their business with Clay. From local pizza shops to enterprises like Anthropic and Notion, our tool lets you instantly translate any idea that you have for growing your company into reality.
We believe that modern GTM teams win by finding GTM alpha— a unique competitive edge powered by data, experimentation, and automation. Clay is the platform they use to uncover hidden signals, build custom plays, and launch faster than their competitors. We’re looking for sharp, low-ego people to help teams find their GTM alpha.
Why is Clay the best place to work?
Customers love the product (100K+ users and growing)
We’re growing a lot (6x YoY last year, and 10x YoY the two years before that)
Incredible culture (our customers keep applying to work here)
Well-resourced - We raised a $100M Series C in 2025 at a $3.1B valuation and are backed by world-class investors like Capital G (Google), Sequoia and Meritech
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+ years of experience
Expertise 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)
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Industries Software Development
Referrals increase your chances of interviewing at Clay by 2x
Compensation Range: $155K - $210K
#J-18808-Ljbffr
at
Clay
Get AI-powered advice on this job and more exclusive features.
This range is provided by Clay. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $155,000.00/yr - $210,000.00/yr
About Clay Clay is a creative tool for growth. Our mission is to help businesses grow — without huge investments in tooling or manual labor. We’re already helping over 100,000 people grow their business with Clay. From local pizza shops to enterprises like Anthropic and Notion, our tool lets you instantly translate any idea that you have for growing your company into reality.
We believe that modern GTM teams win by finding GTM alpha— a unique competitive edge powered by data, experimentation, and automation. Clay is the platform they use to uncover hidden signals, build custom plays, and launch faster than their competitors. We’re looking for sharp, low-ego people to help teams find their GTM alpha.
Why is Clay the best place to work?
Customers love the product (100K+ users and growing)
We’re growing a lot (6x YoY last year, and 10x YoY the two years before that)
Incredible culture (our customers keep applying to work here)
Well-resourced - We raised a $100M Series C in 2025 at a $3.1B valuation and are backed by world-class investors like Capital G (Google), Sequoia and Meritech
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+ years of experience
Expertise 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)
Seniority level Mid-Senior level
Employment type Full-time
Job function Engineering and Information Technology
Industries Software Development
Referrals increase your chances of interviewing at Clay by 2x
Compensation Range: $155K - $210K
#J-18808-Ljbffr