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Lead Data Scientist - Financial Products

San Francisco, CA

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About Uber
We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.
For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.
And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on autonomous trucking and self-driving cars, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.
About the Role
As a Data Scientist on the Financial Products team, youll take a leadership role in shaping and implementing the product data science effort across a global set of financial services and payment experiences including the Uber visa card. Your future team is at the intersection of consumer experiences, payments, and our core rides and Eats businesses - and you’ll interact with product, design, marketing, engineering, and partnerships to propose insights into how to enhance and grow Uber’s financial products strategy.
What youll do
Leverage data to build models and conduct analyses to shape the financial products strategy and product roadmap
Work closely with product managers as a thinking partner
Generate ideas for exploratory analysis to shape future projects and provide recommendations for actions
Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends
Build models to enhance understanding of user behavior and predict future performance of cohorts
Design experiments and interpret the results to draw detailed and actionable conclusions
Create dashboards and reports to regularly communicate results and monitor key metrics
Present findings to senior management to inform business decisions
Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing
What youll need
Minimum 4 years of experience in a quantitative analysis role with emphasis on statistics
BA/BS/MS in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative field (advanced degrees are a plus)
Excellent SQL skills and the ability to use tools such as Python, R, or Excel to work efficiently at scale with large data sets
Advanced knowledge of experimentation, statistical methods, and machine learning
Ability to deliver on tight timelines and move quickly while maintaining attention to detail
Work closely with cross-functional teams to execute on decisions
Self-driven with the ability to work in a self-guided manner
Superb communication, collaboration, and organizational skills
About the Team
We’re a team that operates out of Uber’s San Francisco and Palo Alto offices, and coordinates efforts with our global technology teams in Amsterdam and Bulgaria. As a member of our team, you will dig into the complex but rewarding world of financial services, payment experiences, and ship innovation across the globe. The team manages a portfolio of products that includes the Uber Visa Card, Visa Local Offers, Uber Rides with (Amex) Platinum, and Uber Gift Cards (more in the works).

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