Jobs
Benefits & Perks
•Competitive salary and bonus
•Stock options
•Team offsites
•Flexible PTO
•Equity
Required Skills
Marketo
Hootsuite
HubSpot
Sr.
Marketing Applied Scientist:
2 months ago• San Francisco, CA (+1 more)
New York, NY
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
About The Role:
We are looking for an economic-minded senior applied scientist to develop strategic insights and drive product strategy including running experimentation and conducting product deep dives. In this role, you would be part of the Marketing Science team which is led by the Chief Economist. The scope of this role is global and spans Uber's Rides and Eats business.
What You'll Do- 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 Ph.D a minimum of 1+ years of industry experience required, M.S. degree, a minimum of 2+ years of industry experience required and if Bachelor's degree, a minimum of 4+ 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**$190,000 per year**
-
USD**$211,000 per year**.
-
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 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):San Francisco, CA, New York, NY
Job ID: Uber-145457
Employment Type: FULL_TIME
Posted: 2025-11-14T00:35:34
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
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
Mid/L4
Mid/L4 · Data Analyst
3 reports
$209,300
total / year
Base
$161,000
Stock
-
Bonus
-
$203,580
$209,300
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
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