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Sr Scientist, Uber Shuttle

Uber

Sr Scientist, Uber Shuttle

Uber

San Francisco, CA; Seattle, WA

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Flexible work arrangements

Generous paid time off and holidays

Parental leave

Team events and activities

Flexible Hours

Parental Leave

Required Skills

React

PostgreSQL

Node.js

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

Uber Shuttle is looking for a scientist to work on next generation passenger transportation challenges all over the world. The shuttle science team designs vehicle networks and driver schedules, optimizes rider experience and pricing, and supports growth, marketing, and operational processes improvement through quantitative economics, machine learning, optimization, and statistical modeling. This position combines technical rigor with real-world impact, translating scientific ideas into production-ready solutions with a fast moving, startup mindset.

What the Candidate Will Need / Bonus Points

  • Algorithm and model development in support of price optimization, transport service optimization, and demand forecasting.
  • Conducting analysis to identify data anomalies, support business decision making, and uncover insights related to customer behavior
  • Developing documentation and visuals, communicating outcomes to product, operations, and leadership stakeholders
  • Meeting with stakeholders to develop ideas, provide input on technical matters, and conduct product and business planning.
  • Write code for ETL and business metrics, model development and testing, and algorithm automation.

Basic Qualifications:

  • Programing (Python, SQL, Java, etc.) - candidate must be a competent programmer with experience in Python, GO, or Java
  • Statistics - statistical testing and modeling, experimentation
  • Analytics - Defining metrics, conducting deep dives and investigations using complex data models, competent in SQL, spreadsheets, and visualization software

Preferred Qualifications

  • PhD in quantitative economics, transportation science, optimization, or similar fields

  • Advanced Analytics skills such as causal inference and non standard A/B testing

  • Data engineering and ETL

  • Advanced predictive modeling techniques, e.g. deep learning, time series / stochastic process models

  • For San Francisco, CA-based roles: The base salary range for this role is USD**$190,000 per year**

  • USD**$211,000 per year**.

  • For Seattle, WA-based roles: The base salary range for this role is USD**$190,000 per year**

  • USD**$211,000 per year**.

For all US locations, 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.

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Client-provided location(s): Seattle, WA, San Francisco, CA

Job ID: Uber-151070

Employment Type: FULL_TIME

Posted: 2026-01-14T00:26:33
Apply 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