**About the Role** UberEats has evolved into a global marketplace where people turn to address their everyday needs. We’re looking for a Scientist with a strong background in consumer problems to help us build a better Eats App. This role will have a broad scope, with opportunities to contribute to a range of product areas. You will guide product development by generating insights on how UX presentation, performance of personalization algorithms and selection availability affect users’ experiences. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- - Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of data, our customers, and our business. - Design experiments and interpret the results to draw detailed and impactful conclusions. - Define how our teams measure success, by developing metrics, in close partnership with cross functional partners. - Develop data-driven insights and work with cross-functional partners to identify opportunities to improve the product and develop technical roadmaps. - Collaborate with other Scientists and Engineers to build and improve data foundations. \-\-\-\- Basic Qualifications ---- - Bachelor’s degree or equivalent experience in Statistics, Economics, Operations Research, or other quantitative fields. - 2+ years experience as a Data Scientist or equivalent. - Knowledge of key concepts in Machine Learning and Ranking personalization. - Strong fluency in using Python to work with large data sets at scale. - Experience using SQL in a production environment. - Experience in experimental design and analysis, exploratory data analysis, and statistical analysis. - Experience with dashboarding and using data visualization tools. - Experience using statistical met \-\-\-\- Preferred Qualifications ---- - PhD degree equivalent experience in Statistics, Economics, Operations Research, or other quantitative fields. - 3+ years experience as a Data Scientist or equivalent. - Experience in building consumer-facing products in a technology company. - Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment. - Experience guiding and mentoring other Data Scientists. - Experience with causal inference techniques. - Experience synthesizing data analyses into clear insights to influence product direction. For New York, NY-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 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](https://www.uber.com/careers/benefits). 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 [this form](https://forms.gle/aDWTk9k6xtMU25Y5A). 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.