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Senior Scientist, Rider Experience

Uber

Senior Scientist, Rider Experience

Uber

San Francisco, CA; Seattle, WA; Sunnyvale, CA

·

On-site

·

Full-time

·

1mo ago

Compensation

$183,000 - $183,000

Benefits & Perks

401(k) matching

Team events and activities

Parental leave

Professional development budget

Parental Leave

Learning

Required Skills

TypeScript

React

JavaScript

About the Role

Scientists at Uber use data to measure, analyze, and optimize all of Uber's products. On the Rider Experience Science team, you'll have the opportunity to work on the core mobility business and influence the experience for millions of riders. We drive growth in the mobility business by understanding how riders use the app, delivering a seamless experience, and creating new personalized features.
The Science work we do is diverse and helps to drive every stage of product development. Our toolkit includes experimentation, product analytics, and ML modeling. You will collaborate with other scientists, product managers, and business teams to understand the challenges in our space, then tackle problems that no one else has solved yet.
Some of the key projects will include optimizing the rider conversion funnel, building targeting models for messaging in the app, and running large scale experiments to improve the UX. In this role, you'll have exposure to many of the teams within Uber and an opportunity to influence the strategy for a core pillar of Uber's business.

What the Candidate Will Need / Bonus Points

  • Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of data, our customers, and our business.
  • Design experiments and interpret the results to draw detailed and impactful conclusions that inform our decisions.
  • Define how our teams measure success by developing metrics in close partnership with cross functional partners.
  • Develop data-driven insights and work with cross-functional partners to identify opportunities to improve the long-term strategy and product roadmaps.
  • Collaborate with other Scientists and Engineers to build and improve data foundations.
  • Present findings to business and executive audiences.

Basic Qualifications:

  • Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
  • 5+ 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:

  • 7+ years of industry experience as a Data Scientist or equivalent.

  • Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.

  • Experience collaborating with very senior stakeholders (Director+) and generating insights to shape strategy.

  • Experience using statistical methodologies in a marketplace context.

  • Experience guiding and mentoring other Data Scientists.

  • For San Francisco, CA-based roles: The base salary range for this role is USD**$183,000 per year**

  • USD**$203,000 per year**.

  • For Seattle, WA-based roles: The base salary range for this role is USD**$183,000 per year**

  • USD**$203,000 per year**.

  • For Sunnyvale, CA-based roles: The base salary range for this role is USD**$183,000 per year**

  • USD**$203,000 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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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