Data Scientist I

What the Candidate Will Need / Bonus Points

What the Candidate Will Do

Scope & Impact: You will have the opportunity to collaborate with multiple cross-functional global teams to deliver scalable data solutions including but not limited to statistical models, monitoring solutions & analytical frameworks.

• Build scalable analytical frameworks to support product analytics for Uber's Payment Compliance, Risk and Identity Platform
• Build & maintain critical data pipelines, insight boards & monitoring rules
• Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to ensure 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 platform health
• Effectively and proactively communicate insights and drive projects to drive towards team goals
• Proactively seek out opportunities to build new solutions to tackle Compliance, Risk and Identity challenges
• Assist in new product experimentation including plan creation, roll-out, and monitoring

Basic Qualifications

• 2+ years of experience (with Bachelor's Degree) OR 1+ years of experience (with Master's Degree) in a data-focused role such as product analytics, risk analytics, business analytics, business operations, or data science
• Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
• Experience in statistical languages (SQL, SAS, R) and/or in modern programming languages (Python)
• Past experience with a Product / Tech / Analytics Services company serving businesses with 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 modeling is a plus
• Experience in Payments or Compliance or Risk domains with a Product / Tech / Analytics Services company is preferred
• Proven ability to handle and visualize large datasets, explore and utilize raw data feeds
• Love of data - One should have the zeal to just go get the required data 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

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.