Manager II, Science- Delivery Logistics

### **About the Team** We are hiring science managers across multiple teams, including delivery logistics (matching) and membership. - The Delivery Logistics (matching) science team is responsible for building various large-scale technologies which power our global marketplace. These include designing real-time backend matching & scheduling systems, creating new delightful user experiences via different delivery options with intelligent pricing, and serving predictions such as estimated time to delivery (ETD) used for decision making across the marketplace for various pricing systems. - The Membership science team is responsible for designing and building the Uber One membership program, the company’s highest long-term ROI lever covering 30 million users across all lines of business. Modeling and experimentation power structural benefits for users, member acquisition and churn prevention, engagement incentives, and efficient marketplace interactions. ### **What you will do** - Lead a team of Scientists, including growing and mentoring your team members. - Partner closely with cross-functional stakeholders and other Science teams to identify business needs and translate them into technical roadmaps to deliver impactful solutions. - Communicate complex findings and recommendations to senior leadership. - Solve ambiguous, challenging business problems using data-driven approaches including Causal Inference, Optimization and ML. - Own the product development cycle end to end from data and science aspects. ### **Basic Qualifications** - Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields. - 7+ years of industry experience as an Applied or Data Scientist or equivalent (or 4+ years with Ph.D.). - 1+ years managing a team of scientists. - Excellent communication and collaboration skills: Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams. - Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl) - Experience designing experiments and interpreting the results to draw detailed and actionable conclusions across a variety of key performance indicators ### **Preferred Qualifications** - Ph.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields. - 2+ years managing a team of scientists. - Experience in leading key technical projects and substantially influencing the scope and output of others. - Thought leadership to drive cross-functional projects from concept to production. - Experience in large-scale marketplace algorithm design or experimentation platform. For New York, NY-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 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'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.