Data Scientist 1
1 week ago
**About the Role**
The Risk and Compliance Data Science team is responsible for identifying and minimizing all possible risks and frauds in the Uber Marketplace. The team proactively monitors frauds and builds solutions by collaborating with Product, Operations, and Engineering teams.
We also streamline Uber's payment experience by analyzing vast quantities of data 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.
- Build scalable analytical frameworks to support product analytics for Uber's Risk and Identity Platform
- Own new product 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 and Identity challenges
- Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts
- Basic Qualifications
- 2+ years of experience (Bachelor) in a data-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 programming and/or query languages
- 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 Payments or Compliance with 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
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