Data Scientist Risk

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Own the loss metrics for the assigned line of business/Region and design logics and scalable solutions to mitigate fraud causing modus operandi
2. Own new risk solution and related experimentation including plan creation, roll-out, and monitoring
3. 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
4. Develop and track metrics and reporting functions to measure and monitor risk products on our platform
5. Effectively and proactively communicate insights and drive projects to drive towards team goals
6. Proactively seek out opportunities to build new solutions to tackle Risk

---- Basic Qualifications ----

1. SQL mastery. Write efficient and complex code in SQL
2. Experience in Python/R and experimentation, A/B testing, and statistical modelling
3. Proven ability to handle and visualise large datasets, explore and utilize raw data feeds
4. A well-organized, structured approach to problem-solving
5. Strong sense of ownership, accountability, and entrepreneurial spirit
6. Great communicator, problem-solver & confident in decision making
7. Enthusiastic, self-starting and thrives in changing, agile environments
8. Liaise with Product and engineering counterparts to launch and impact new products

---- Preferred Qualifications ----

1. Experience in Risk in a Product / Tech company
2. Love of data - you just go get the data you need and turn it into an insightful story.
3. Independent & autonomous, while still a strong teammate

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.