**About the Role**

At Uber, our mission is to reimagine the way the world moves for the better. The Autonomous Mobility & Delivery team is at the forefront of this transformation, focusing on the user experience and marketplace dynamics of autonomous vehicles.

We are currently running multiple pilots to integrate autonomous vehicles to power our mobility and delivery services, spearheading a groundbreaking product area that impacts partners, riders, eaters, drivers and the entire marketplace. Join us to build future-looking transportation and delivery with revolutionary technology.

**What You Will Do**

1. Modeling and Optimization: Build machine learning and optimization models to understand the impact of autonomous vehicles (AV), and optimize AV utilization and efficiency.
2. Define Metrics and Targets: Develop and implement metrics and targets to measure marketplace efficiency and reliability.
3. Data Insights: Generate data-driven insights to prioritize initiatives and influence the product roadmap.
4. Collaboration: Work closely with cross-functional teams to enhance user experiences specifically for AV users.
5. Experimental Design: Design experiments and inference models to rigorously measure the impact of AV initiatives.
6. Stakeholder Engagement: Collaborate with stakeholders to set goals and targets for partners.

**\-\-\-\- Basic Qualifications ----**

1. Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Operations Research, Machine Learning, or other quantitative fields.
2. Minimum of 1 year of industry experience as a Data Scientist, Applied Scientist, or equivalent.
3. Advanced SQL skills.
4. Proficiency in exploratory data analysis, statistical inference, experimental design and measurement.
5. Proficiency with dashboard and data visualization tools.
6. Ability to use Python efficiently for analysis and modeling.
7. Experience in modeling in Machine Learning (ML) or optimization.

**\-\-\-\- Preferred Qualifications ----**

1. 2+ years of industry experience as a Data Scientist, Applied Scientist, or equivalent, working in a marketplace environment within the technology industry
2. Strong communication and stakeholder management skills
3. Structured and independent thinking, with the ability to solve ambiguous problems independently.
4. Experience in experimental design and analysis (e.g., A/B and market-level experiments), causal inference.
5. Experience leading key technical projects and substantially influencing the scope and output of others.
6. Entrepreneurial experience in building products from 0 to 1.

For San Francisco, CA-based roles: The base salary range for this role is USD$183,000 per year - USD$203,000 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 [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).

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 fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity 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.