Senior Scientist, Grocery & Retail Delivery

About the Role

1. We are looking for an experienced scientist who relishes the opportunity to develop novel approaches and apply them at Uber’s scale. Specifically, in this role, you will develop solutions to Uber grocery & retail business, improving our delivery quality, efficiency, and experience.

2. You will collaborate with other scientists, product managers, and business teams to understand the challenges in our space, then tackle problems that no one else has solved yet. We expect you to deliver end-to-end solutions, including metrics definition, experimentation, strategic analysis, and ML to optimize delivery experience and quality, improve delivery efficiency, etc.

---- What You Will Do ----

1. Define product metrics and OKRs that help to shape the product roadmap
2. Perform analysis/experiments to measure the improvement and shape product roadmap
3. Build ML/science solutions to improve delivery quality and efficiency.

---- What You Will Need ----

1. Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
2. 3+ years of industry experience as an Applied or Data Scientist or equivalent.
3. Experience in experimental design and analysis.
4. Experience with exploratory data analysis, statistical analysis and testing, and model development.
5. Familiar with machine learning as a plus
6. Experience using Python to work efficiently at scale with large data sets.
7. Proficiency in SQL.

---- Preferred Qualifications ----

1. 4+ years of industry experience.
2. Experience in generating data insights and influence key stakeholders such as product, engineering, design, etc.

We welcome 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 let’s 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 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 accommodations@uber.com.