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Scientist II, Earner Experience

Uber

Scientist II, Earner Experience

Uber

New York, NY

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Generous paid time off and holidays

Comprehensive health, dental, and vision insurance

401(k) matching

Professional development budget

Competitive salary and equity package

Healthcare

Learning

Equity

Required Skills

Python

TypeScript

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Uber

Scientist II, Earner Experience

1 month ago• New York, NY
Viewed on February 1, 2026
Apply on company site

About Us

Uber is changing how people think about transportation, part of the logistical fabric of 600+ cities - giving people what they want when they want it.

  • Size: 10000+ employees
  • Industry: Technology

View Company Profile:

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.

What the Candidate Will Need / Bonus Points

  • Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization, and work with engineering/product to productionize those algorithms and create impact in production.
  • Drive clarity and solve ambiguous, challenging business problems using data-driven approaches.
  • Propose and guide the framework of data analysis to drive business insight and facilitate decisions. Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.
  • Leverage data to understand product performance and to identify improvement opportunities.
  • Design product experiments and interpret the results to draw detailed and impactful conclusions.
  • Communicate with senior management and multi-functional teams.
  • Provide recommendations to assist quick product ideation and feature launch decisions.
  • Build intelligent data-driven products to provide the best user experience.

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By signing up, you agree to our Basic Qualifications

  • 2+ years of industry experience in data science, analytics, or a related quantitative role.
  • Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research).
  • Proficiency in SQL and a programming language like Python or R for complex data manipulation and analysis.
  • Demonstrated experience designing and analyzing large-scale A/B experiments.
  • Proven ability to lead projects, work autonomously, and navigate ambiguity.

Preferred Qualifications:

  • M.S. or Ph.D. in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research).

  • Deep expertise in advanced statistical techniques, including causal inference, quasi-experimental methods, and predictive modeling.

  • A track record of successfully influencing product strategy and driving business outcomes through data on a consumer app.

  • For New York, NY-based roles: The base salary range for this role is USD**$161,000 per year**

  • USD**$179,000 per year**.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/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.

Client-provided location(s): New York, NYJob ID: Uber-151232Employment Type: FULL_TIMEPosted: 2025-12-10T00:35:15Apply on company site

Perks and Benefits

Health and Wellness

  • Health Insurance
  • Health Reimbursement Account
  • Dental Insurance
  • Vision Insurance
  • Life Insurance
  • FSA With Employer Contribution
  • Fitness Subsidies
  • On-Site Gym
  • Mental Health Benefits

Parental Benefits

  • Fertility Benefits

Work Flexibility

  • Flexible Work Hours
  • Remote Work Opportunities
  • Hybrid Work Opportunities

Office Life and Perks

  • Casual Dress
  • Pet-friendly Office
  • Snacks
  • Some Meals Provided
  • On-Site Cafeteria

Vacation and Time Off

  • Paid Vacation
  • Unlimited Paid Time Off
  • Paid Holidays
  • Personal/Sick Days
  • Sabbatical
  • Volunteer Time Off

Financial and Retirement

  • 401(K)
  • Company Equity
  • Performance Bonus

Professional Development

  • Work Visa Sponsorship
  • Associate or Rotational Training Program
  • Promote From Within
  • Mentor Program
  • Access to Online Courses

Diversity and Inclusion

  • Employee Resource Groups (ERG)
  • Diversity, Equity, and Inclusion Program

Apply on company site

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About Uber

Uber

Uber 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

3.1

10 reviews

Work Life Balance

4.2

Compensation

2.3

Culture

3.5

Career

2.0

Management

2.5

45%

Recommend to a Friend

Pros

Flexible hours and schedule

Meeting different people and cultures

Make your own hours

Cons

Inconsistent and low pay

Safety concerns with passengers

Traffic and difficult drivers

Salary Ranges

23,534 data points

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist L3

0 reports

$145,456

total / 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