Data Scientist (Product)
Core
Drive decisions, uncover opportunities, and influence product direction for a prediction market platform by combining analytical depth, technical skill, and business intuition.
Role type
Senior IC data scientist (product analytics)
Builds
Internal data tools, datasets, and pipelines that scale across the organization
Domain
Fintech / Prediction markets
Deliverable
dashboards & analysis
Required skills
SQL, Python, statistical methods, experimentation, forecasting, distributed data systems, cross-functional collaboration
Preferred skills
Self-starter energy, thriving in ambiguous environments
Technologies
Python, SQL, DBT, Superset, Dagster, Hex, AWS, Redshift, Snowflake, Presto, Hive, Spark
Responsibilities
Partner with cross-functional teams to define and measure key metrics; Design experiments and extract insights to guide strategy; Build analytical frameworks and models for Product, Marketing, Platform, and Finance; Develop tools, datasets, and pipelines to make data accessible; Lead end-to-end data projects from scoping to delivery; Champion data quality, reliability, and democratization.
Seniority
Senior, hands-on IC