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Staff Scientist, Merchant

Uber

Staff Scientist, Merchant

Uber

·

On-site

·

Full-time

·

2w ago

Required Skills

Python

Tableau

About the Role

The mission of the Merchant team is to help merchants realize their full potential on Uber Eats, from onboarding to building a success business. As a Scientist on this team, you will own complex projects from end-to-end, including understanding product performance, running marketplace experiments, building models, and driving tradeoff decisions using data.

  • What You'll Do

  • Generate product insights through analysis to influence decisions and what / how the team builds.

  • Design and analyze experiments to help the team learn, ship, and measure impact.

  • Lead product measurement for the team, including metrics design, implementation, and goal setting.

  • Scale data visibility and access through dashboards or other tools.

  • Basic Qualifications

  • Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.

  • Minimum 5 years of industry experience as a Data Scientist or equivalent role (3+ if holding a Ph.D.)

  • Expertise in experimental design and statistical analysis for A/B testing and causal inference.

  • Proficiency in R or Python for exploratory data analysis and modeling.

  • Strong analytical skills, with experience extracting user behavior insights from large datasets.

  • Experience with data visualization and dashboarding tools (e.g., Tableau, Matplotlib).

Preferred Qualifications:

  • Marketplace experimentation experience within a Delivery or Ecommerce business.

  • 6+ years of industry experience.

  • Proficiency in causal inference.

  • For San Francisco, CA-based roles: The base salary range for this role is USD**$216,000 per year**

  • USD**$240,000 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

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