Overview
On Site
USD 230,000.00 - 255,500.00 per year
Full Time
Skills
Retail
Business-to-business
Data Science
Operations research
Design of experiments
Data Analysis
Statistics
Data
Leadership
Design
Metrics
IMPACT
Economics
Python
R
SQL
Communication
Law
Legal
Collaboration
Job Details
About the Role
Your scope will cover the entire rider experience, ranging from the core rider experience to newer verticals like rentals, Uber reserve, and business users! You will be leading the data science effort to develop insights that improve our product, and design measurement frameworks, metrics, and processes to track our success.
What You'll Do
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 .
Uber is proud to be an Equal Opportunity/Affirmative Action 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 .
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.
Your scope will cover the entire rider experience, ranging from the core rider experience to newer verticals like rentals, Uber reserve, and business users! You will be leading the data science effort to develop insights that improve our product, and design measurement frameworks, metrics, and processes to track our success.
What You'll Do
- Develop data-driven insights to identify opportunities to improve the product or build new products
- Propose, design, and analyze large scale online experiments
- Work collaboratively with cross-functional partners identify opportunities for largest business impact
- Present findings to business and executive audiences
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
- Minimum 5 years of industry experience as a Data Scientist or equivalent.
- Experience in experimental design and analysis, exploratory data analysis and statistical analysis.
- Ability to use Python/R to work efficiently at scale with large data sets.
- Proficiency in SQL.
- Very strong communication skills across technical, non-technical, and executive audiences.
- Experience working in marketplaces
- Experience in B2C and B2B businesses
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 .
Uber is proud to be an Equal Opportunity/Affirmative Action 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 .
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.