Staff Scientist, UberEats Merchant AI

About the Role

We are seeking a highly skilled and motivated Staff Data Scientist to join our Applied AI Team. In this role, you will work together with the team building our Merchant agent tool. This tool aims to scale easy-to-use, personalized support to our merchants to help them better succeed on our marketplace.

---- What the Candidate Will Do ----

1. Design, develop and interpret agentic models via analyses and experiments to evaluate their effectiveness.
2. Feed these insights back to shape the technical execution and strategic direction.
3. Develop data-driven insights to identify opportunities to improve the product or build new products.
4. Present findings to various constituents: technical, business and executive audiences.

---- Basic Qualifications ----

1. Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
2. Minimum 5 years of industry experience as a Data Scientist or equivalent.
3. Experience in experimental design and analysis, exploratory data analysis and statistical analysis.
4. Ability to use Python/R to work efficiently at scale with large data sets.
5. Proficiency in SQL.

---- Preferred Qualifications ----

1. Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
2. Expertise in synthesizing complex technical analyses into clear insights to influence product direction.
3. Excellent communication skills across technical, non-technical, and executive audiences.

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 fuelds progress. What moves us, moves the world - let's move it 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 expected 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, please reach out to .