Location
San Francisco, CA | United States
Job description
Within the Marketing Data Science Organization, we are looking for an expert data generalist to handle a high visibility role working on product analytics and experimentation for uber.com!
What You Will Do
- Work closely with the web product team to craft and analyze experiments
- Develop dashboards that provide reliable insights and visualization into all lines of businesses (LOBs) that touch our web platforms
- Track and understand business trends, proactively flag them, and work with customers to strategize on solutions
- Mine web data to gain a better understanding of user behavior to enhance our understanding of uber.com
Basic Qualifications - Ph.D., M.S., or Bachelor's in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If Ph.D., or M.S. degree, a minimum of 1+ years of industry experience is required, and if a Bachelor's degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent).
- Expertise in Tableau and/or similar platform
- Expertise in languages and tools like SQL, R, and/or Python.
- Knowledge of underlying mathematical foundations of statistics, optimization, economics, and analytics. Knowledge of experimental design and analysis.
Preferred Qualifications - Experience working in all or some of Web, SEO, Experimentation, Attribution
- Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations.
- Work experience in applying advanced analytics applied science, or causal inference to marketing problems.
- Self-motivated with task organizational skills. Ability to achieve consensus amongst technical and business teams
We encourage people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and we can move the world forward, together.
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 encouraged to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation,we'd love to hear from you! Please get in touch with
[email protected].
For San Francisco, CA-based roles: The base salary range for this role is USD$140,000 per year - USD$156,000 per year.
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.
Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran Status, or any other characteristic protected by law.
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