Data Scientist (Product)
Data Scientist embedded across Product, Finance, Marketing, and Platform teams to build models, design experiments, develop data pipelines, and drive strategic insights using Python, SQL, and distributed systems. Requires 4+ years experience and cross-functional collaboration.
About the job
What You’ll Do
- Partner with cross-functional teams to define and measure key metrics, design experiments, and extract insights that guide strategy
- Build analytical frameworks and models that support Product, Marketing, Platform, and Finance initiatives
- Develop tools, datasets, and pipelines that make data more accessible and actionable across the company
- Lead end-to-end data projects—from scoping the problem to delivering the solution
- Champion data quality, reliability, and democratization throughout the organization
- Work closely with Product, Engineering, Design, Research, Sales, Marketing, and Finance to drive measurable impact
What You Bring
Required:
- 4+ years of experience in Analytics, Data Science, or a related field
- Fluency in SQL and proficiency in Python or R
- Experience with distributed data systems (Redshift, Snowflake, Presto, Hive, Spark, etc.)
- Strong grounding in statistical methods, experimentation, and/or forecasting
- Proven ability to work cross-functionally and clearly communicate with both technical and non-technical partners
- Experience supporting Product, Marketing, Finance, or internal Platform/Tooling teams
Bonus Points:
- Self-starter energy with the ability to thrive in fast-paced and ambiguous environments
NYC Pay Transparency Disclosure
Salary Range: $100,000–$250,000 annually, plus equity and benefits.
Skills
SQL, Python, R, Redshift, Snowflake, Presto, Hive, Spark, dbt, Superset, Dagster, Hex, AWS, Statistical Methods, Experimentation
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