Data Scientist Risk

About the Role

At Uber, we empower people to earn and transact on the platform and to do this across the globe for millions of customers, we need to be compliant with local regulations and manage the risk that is associated with fraud losses. The Risk Intelligence team is responsible for keeping the platform safe from fraud losses while minimizing friction to legitimate customers. This team drives scalable solutions to address latest modus operandi driving losses while ensuring frictionless experience for legitimate users. We aim to maintain losses below the target and create magical customer experiences by leveraging data and technology to capture insights, identify opportunities, and ultimately prioritize product and engineering initiatives.

Does this sound exciting to you? Are you a tested teammate, strategic problem solver, and executor? We want to hear from you.

What the Candidate Will Need / Bonus Points - What the Candidate Will Do -

• Own the loss metrics for the assigned line of business/Region and design logics and scalable solutions to mitigate fraud causing modus operandi
• Own new risk solution and related experimentation including plan creation, roll-out, and monitoring
• Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues
• Develop and track metrics and reporting functions to measure and monitor risk products on our platform
• Effectively and proactively communicate insights and drive projects to drive towards team goals
• Proactively seek out opportunities to build new solutions to tackle Risk

- Basic Qualifications -

• 3+ years of experience in a risk-focused role such as product analytics, business analytics, business operations, or data science
• Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
• Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R)
• Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries

- Preferred Qualifications -

• SQL mastery. Write efficient and complex code in SQL
• Experience in Python/R and experimentation, A/B testing, and statistical modelling
• Experience in Risk in a Product / Tech company
• Proven ability to handle and visualise large datasets, explore and utilize raw data feeds
• Love of data - you just go get the data you need and turn it into an insightful story.
• A well-organized, structured approach to problem-solving
• Strong sense of ownership, accountability, and entrepreneurial spirit
• Great communicator, problem-solver & confident in decision making
• Independent & autonomous, while still a strong teammate
• Enthusiastic, self-starting and thrives in changing, agile environments
• Liaise with Product and engineering counterparts to launch and impact new products