September 23, 2024

Uber

FULL TIME

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