Jobs

Senior Scientist - Experimentation Platform
New York, NY; San Francisco, CA; Sunnyvale, CA
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Competitive salary and equity package
•Professional development budget
•401(k) matching
•Parental leave
•Equity
•Learning
•Parental Leave
Required Skills
JavaScript
TypeScript
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
About the Role
The Experimentation Science team is responsible for building the experimentation platform at Uber, providing reliable, trustworthy and agile experimentation and experiment analysis to power business decisions across the entire Uber ecosystem.
What You Will do
- Develop and implement statistical / econometric methodologies to improve results validity, power and generalizability.
- Guide and assist customer teams throughout the experimentation lifecycle, including experiment design that addresses business questions, experiment implementation, appropriate methodological choices for analysis, and interpretation of results.
- Educate peers about experimentation best practices and pitfalls through presentations, documentation, face-to-face discussions and other channels.
- Work with customers and other stakeholders to understand business goals for experimentation, identify areas of opportunity in platform functionality, and drive cross-functional platform development across science, product and engineering end-to-end from ideation to productionalization.
- Mentor junior colleagues and continuously contribute to upleveling the skills of the team.
Basic Qualifications
- Ph.D. in Economics, Statistics, Mathematics, Operations Research or other quantitative field with a focus on or substantial experience in statistical / econometric methodology.
- Ability to use Python to work efficiently at scale with large data sets (including exploratory data analysis, model / methodology prototyping, statistical analysis and simulations).
- Advanced knowledge of experimental design and statistical / econometric methods.
Preferred Qualifications
-
2+ years of industry science experience or post-PhD experience
-
Experience developing experimentation methodology and building experimentation platforms.
-
Experience with production-level software development.
-
Track record of technical leadership.
-
For New York, NY-based roles: The base salary range for this role is USD**$183,000 per year**
-
USD**$203,000 per year**.
-
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 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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Client-provided location(s): San Francisco, CA, New York, NY, Sunnyvale, CA
Job ID: Uber-147441
Employment Type: FULL_TIME
Posted: 2025-10-15T00:29:27
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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
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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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