Staff Data Scientist, Product Analytics
Core
Partner with Product and Engineering to solve complex product problems, shape strategy through quantitative analysis, and turn insights into clear recommendations that drive roadmap and investment.
Role type
Staff Data Scientist, Product Analytics
Builds
Product strategies and data-informed investment decisions for a global payments and financial platform
Domain
Fintech / Global Payments
Deliverable
production ML models | product features | dashboards & analysis
Required skills
quantitative analysis, experimentation, statistical thinking, data querying (SQL), scripting (Python), statistical/mathematical software (R), schema design, dimensional data modeling, goal setting, forecasting, monitoring key product metrics
Preferred skills
experience in technology, financial services, high growth environments
Technologies
SQL, Python, R
Responsibilities
Define, understand, and test opportunities and levers to improve the product; Work with large and complex data sets to solve business problems using analytical and statistical approaches; Apply technical expertise to develop strategies for products; Identify and measure success of product efforts through goal setting and monitoring metrics; Partner with cross-functional teams to inform and execute product strategy and investment decisions
Seniority
Staff, hands-on IC with strategic influence
