Data Scientist (Product Analytics) - Financial Services
Core
Partner with Product Managers to turn product questions into hypotheses, experiments, and actionable insights; build deep user understanding to shape product direction and prioritize features based on evidence.
Role type
Senior IC product analytics data scientist
Builds
Product features and dashboards for support operations and business performance
Domain
Financial services (Lending, Payments, Insurance) + Product Analytics
Deliverable
dashboards & analysis
Required skills
Hypothesis testing, experimental design, statistical analysis, NLP, LLM, SQL, Power BI, Snowflake, multidimensional modeling, data pipeline building
Preferred skills
Experience in Internet or Direct-to-Consumer companies with high-velocity data, Big Data technologies (Spark, PySpark, Databricks)
Technologies
Spark, PySpark, Databricks, Snowflake, Power BI, SQL
Responsibilities
Design analytical solutions to address complex challenges; analyze operational data and text to identify improvements; develop dashboards for support operations; utilize ML techniques to derive insights for business decisions; collaborate on data quality and pipeline infrastructure; communicate findings to stakeholders
Seniority
Senior, hands-on IC