Jobs
About the Role:
The Earner org is responsible for the products and programs that make earning through the Uber marketplace a rewarding experience. As a Scientist, you will leverage your expertise in economics, operations, machine learning, and statistical modeling to improve the efficiency of our platform and help direct the development of our products. This role will have a particular focus on offer decision making and preferences.
What the Candidate Will Need / Bonus Points
What the Candidate Will Do:
- Use data to understand product performance and to identify improvement opportunities.
- Develop novel experimentation and/or measurement methodology for use in large-scale marketplace settings.
- Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
- Present findings to inform business decisions.
- Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.
Basic Qualifications:
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
- Mininum 4 years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry).
- Experience in experimental design and analysis.
- Experience with exploratory data analysis, statistical analysis and testing, and model development.
- Proficiency in Python/R and SQL.
Preferred Qualifications:
- Minimum 6 years of industry/tech experience in applied science, data science, economics, machine learning, and/or optimization roles.
- Experience in using Python to work efficiently at scale with large data sets.
- Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
- Experience in algorithm development and prototyping.
- Experience in pricing optimization and/or marketplace design.
- Experience in designing large scale experiments in complex environments.
- Well-honed communication and presentation skills.
- For New York, NY-based roles: The base salary range for this role is USD**$190,000 per year**
- USD**$211,000 per year**.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.
Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.
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.
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About Uber

Uber
PublicUber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.
10,001+
Employees
San Francisco
Headquarters
$120B
Valuation
Reviews
3.7
10 reviews
Work-life balance
3.2
Compensation
4.0
Culture
4.1
Career
3.4
Management
2.8
68%
Recommend to a friend
Pros
Good compensation and pay
Flexible hours and schedule
Great team culture and colleagues
Cons
Long hours and tight deadlines
High pressure and stressful environment
Poor management and lack of support
Salary Ranges
15,354 data points
Junior/L3
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist L3
0 reports
$145,456
total per year
Base
-
Stock
-
Bonus
-
$123,638
$167,274
Interview experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
40%
Experience
Positive 80%
Neutral 20%
Negative 0%
Interview process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Phone Screen
5
Case Study/Analytics Test
6
Final Loop/Panel Interview
7
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Case Study
Technical Knowledge
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