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JobsUber

Marketing Applied Scientist II

Uber

Marketing Applied Scientist II

Uber

San Francisco, CA; Seattle, WA

·

On-site

·

Full-time

·

1w ago

About the role

We are looking for an economic-minded applied scientist for the Marketing Science team to develop strategic insights and drive product strategy including running experimentation and conducting product deep dives. The scope of this role is global and spans Uber's Rides and Eats business!

Responsibilities:

  • Develop and lead careful statistical and econometric analyses (including designing, running, and evaluating large-scale marketing experiments) in support of our business priorities.

  • Collaborate with cross-functional teams to develop strategic insights and research that speaks to their contexts.

  • Present economic reasoning and analytical results to cross-functional audiences within Uber including to Uber's senior leadership team.

  • Basic Qualifications

  • Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent).

  • Strong SQL, Python and/or R foundation and expertise.

  • Knowledge of experimental design and analysis (e.g., advanced analytics, econometrics, causal inference).

Preferred Qualifications:

  • Ability to collaborate cross-functionally and clearly and concisely communicate complex topics to audiences with different backgrounds.

  • A track record of working independently and conducting rigorous quantitative research in an outcome-oriented way with minimal oversight.

  • Industry experience in marketing science or product research, particularly background in developing and bringing quantitative evidence to bear on marketing or product strategies.

  • Excellent project management skills and the ability to develop and maintain collaborative and productive relationships with other teams around the company.

  • Passion for Uber!

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

  • USD**$179,000 per year**.

  • For San Francisco, CA-based roles: The base salary range for this role is USD**$161,000 per year**

  • USD**$179,000 per year**.

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

  • USD**$179,000 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. 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