Uber
Overview
Lead a high-performing team of scientists working to optimize Uber's Mobility business. This role will focus on applied and data science to intelligently optimize pricing and incentives allocations globally to meet near-term business goals while simultaneously optimizing for long-term enterprise value. Responsibilities
Guide a team of applied and data scientists working on challenging problems at the interface of statistics, economics, optimization, and machine learning. Collaborate closely with crossfunctional partners in engineering, product, and operations roles. Serve as a role model and leader for a broader Science organization spanning multiple subteams. Basic Qualifications
Experience leading high-performing scientists, economists, and applied researchers in an industrial marketplace setting. Solid understanding of experimentation and causal inference applied at scale. Familiarity with machine learning algorithms, optimization, and simulation strategies. Ability to work effectively with a broad range of stakeholders. Preferred Qualifications
PhD in Statistics, Economics, Operations Research or a similar field. 3+ years of data-science management experience with at least 5 direct reports. Record of significant technical contributions in a large-scale marketplace setting. Compensation and Benefits
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 Seattle, WA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For Sunnyvale, 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. Note: Salary ranges are provided for specific locations and may vary by location. Seniority level
Mid-Senior level Employment type
Full-time Job function
Finance and Sales Industries
Internet Marketplace Platforms
#J-18808-Ljbffr
Lead a high-performing team of scientists working to optimize Uber's Mobility business. This role will focus on applied and data science to intelligently optimize pricing and incentives allocations globally to meet near-term business goals while simultaneously optimizing for long-term enterprise value. Responsibilities
Guide a team of applied and data scientists working on challenging problems at the interface of statistics, economics, optimization, and machine learning. Collaborate closely with crossfunctional partners in engineering, product, and operations roles. Serve as a role model and leader for a broader Science organization spanning multiple subteams. Basic Qualifications
Experience leading high-performing scientists, economists, and applied researchers in an industrial marketplace setting. Solid understanding of experimentation and causal inference applied at scale. Familiarity with machine learning algorithms, optimization, and simulation strategies. Ability to work effectively with a broad range of stakeholders. Preferred Qualifications
PhD in Statistics, Economics, Operations Research or a similar field. 3+ years of data-science management experience with at least 5 direct reports. Record of significant technical contributions in a large-scale marketplace setting. Compensation and Benefits
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 Seattle, WA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 per year. For Sunnyvale, 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. Note: Salary ranges are provided for specific locations and may vary by location. Seniority level
Mid-Senior level Employment type
Full-time Job function
Finance and Sales Industries
Internet Marketplace Platforms
#J-18808-Ljbffr