We are looking for a Senior Data Scientist who will work as a "floater" for the analytics team, moving from team to team, focusing on the highest priority projects.
Some example projects might be: 1/ investigate new fraud use cases for new Business lines (aka NBV fraud)and build dashboard and reports to track our performance and recommend actions.
2/ build dashboard and reporting to track low performing (expensive) promotions across the business and recommend purge and other actions to improve overall payback
Job Expectations:
- Collaborate with product, engineering and business partners to understand product context and business requirements
- Collect, analyze and visualize product data in dashboard to monitor key performance metrics Conduct analysis to diagnose root cause of underperforming product metric and communicate key findings to stakeholders
- Build and maintain ETL pipeline for new product features and validate data accuracy
Skill Requirements:
- Able to write complex SQL query and consolidate data from multiple sources
- Experience with ETL pipeline building for product data
- Able to translate ambiguous business requirements into clear data request
- Hypothesis driven problem solving skills * Comfortable to work closely with cross-functional partners in a fast pace
- Strong communication skills to synthesize business insights from data
- Ability to independently troubleshoot and unblock oneself