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. Check out our wall of love to see how customers describe Clay.
Why is Clay the best place to work in New York?
Customers love the product (100K+ users and growing)
We’re growing a lot (10x YoY for the past two years)
Incredible culture (our customers keep applying to work here)
In-person work (beautiful office space in Flatiron)
Well-resourced (raised a Series B in June 2024 from investors like Sequoia and Meritech)
Our vision is to turn every business's creative ideas into a reality and we’re looking for sharp, low-ego people to help us.
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. As a foundational data hire reporting directly to our CEO, 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
Qualifications
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)
Life @ Clay
Based out of a central office on 19th Street in Manhattan's Flatiron District. We love the energy of in-person collaboration while also offering the flexibility to work from home when needed.
Competitive salary and role trajectory: Roles, responsibilities, and comp grow as we do
Health insurance: Fully funded, high quality health, dental & vision coverage (including 80-100% therapy coverage)
Paid time off: We expect team members to take at least 3 weeks fully-disconnected per year, with a flexible vacation policy beyond that
Parental leave & fertility support: IVF fertility benefits, egg freezing, and 4 months of paid parental leave
Free lunch: Lunch is provided in office every day
Visa sponsorship: We get it - it's an arduous process, but we're not scared of it
Learn more about Clay and what it’s like to work with us right here!
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