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•Comprehensive health, dental, and vision insurance
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Scientist II, Mobility Ads and Offers
2 weeks 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:
Ads is one of the fastest growing lines of businesses at Uber. Every day thousands of advertisers use our platform to reach users on Uber to help grow their businesses. The Uber Ads & Offers team builds consumer products that connect our eaters and riders to relevant businesses in engaging and delightful ways. We also build tools to help merchants, large and small, generate demand via Ads and Offers to grow their businesses.
As a scientist on the Mobility ads and offers team, you will guide how ads are integrated across the entirety of the Uber Rides app. You will be a thought partner for a wide breadth of topics ranging from optimization of existing ad formats to development of entirely new ones to interactions between ads and non-ad products. This is a highly visible, cross-functional role where you'll combine technical expertise with product intuition to shape the Mobility ads and offers space, one of the fastest growing pillars within Uber ads.
What the Candidate Will Need / Bonus Points What You'll Do-Drive product strategy with data: Act as a strategic partner to product, engineering, and design partners, using data to influence the roadmap and guide decisions for critical features and future innovation.
-Lead complex analytical initiatives: Own and execute end-to-end analyses on large-scale, complex datasets to generate foundational insights on advertiser value and rider behavior.
-Innovate in a new space: Proactively identify and investigate complex, open-ended questions using a myriad of techniques (funnel analysis, experimentation, causal inference, modeling), delivering actionable recommendations that drive significant business value.
-Champion data-informed decision-making: Define and evangelize best practices for measurement, statistical rigor, and data-driven problem-solving.
Basic Qualifications- Bachelor's degree in Statistics, Economics, Operations Research, or a related quantitative field.
-Mininum 2 years of relevant industry experience as a Data Scientist, Applied Scientist, or equivalent (not required with Ph.D).
- Proficiency in SQL and a programming language like Python or R for exploratory data analysis and modeling.
- Strong understanding of experimental design and analysis and causal inference.
- Good business and product sense, with experience extracting user behavior insights from large datasets.
Preferred Qualifications- M.S. or Ph.D. in Statistics, Economics, Operations Research, or a related quantitative field
-
Prior experience working on Ads
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Prior experience in causal inference, A/B testing, and other advanced analytical methods
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Track record of successfully influencing product strategy and driving business outcomes through data on a consumer app
-
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 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.
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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.
Client-provided location(s):San Francisco, CA, New York, NY
Job ID: Uber-153164
Employment Type: FULL_TIME
Posted: 2026-01-15T00:34:12
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
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
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