Director, Science - Marketplace [Matching & Driver Pricing]

# Director, Science - Marketplace \[Matching & Driver Pricing\] **Location:** SF Bay Area OR Sunnyvale/South Bay **Reports to:** Sr. Director, Engineering **About the Team** The [Uber Marketplace](https://www.uber.com/us/en/marketplace/?uclick_id=2865c29d-7207-4c2d-80a5-29617f789889) is designed to move riders & drivers efficiently from where they are to where they want to go. Every dollar that is transacted in the Uber Marketplace (driver forecasting, dynamic pricing fares, matching driver/rider pricing, and overall marketplace health) is informed and influenced by data – and our Data Science team understands, analyzes, and helps design the algorithms that enable millions of earners and consumers to ride, deliver, eat, and move daily. Uber operates in a constantly-evolving and competitive environment, across a diverse set of markets and product categories. Assessing the success or failure of a product or investment strategy depends on deeply understanding this context and quantifying the impact with thoughtfully-defined success metrics. Doing this - and doing it well - at Uber’s global scale is an interesting and complex problem with meaningful impact on our P&L. The Marketplace Data Science team applies their expertise in statistical modeling, machine learning, economics, data analysis, and business strategy to build scalable data platforms, generate actionable insights, and drive our algorithm and product development decisions. **About the Role** Are you passionate about shaping business and product strategy through the power of data? Do you thrive on solving complex problems and uncovering actionable insights that drive innovation? If so, this role might be the perfect fit for you. As the **Director, Science - Marketplace** at Uber Mobility, you will lead a dynamic and talented team of Data Scientists to uncover opportunities, inform decision-making, and drive the evolution of our products. Your leadership will play a pivotal role in advancing the next generation of machine learning algorithms and optimization systems for pricing, matching, and marketplace optimization. In this high-impact position, you will collaborate closely with Product Management, Engineering, Regional General Managers, Strategy, and Finance teams across Uber's global Mobility business. Your work will directly shape the most engaging marketplace experiences for our drivers and riders while driving meaningful competitive advantages that solidify Uber as the platform of choice. With a customer-first mindset and a data-driven approach, you will ensure every decision is grounded in insights, combining technical expertise with a deep understanding of user needs. This is an opportunity to lead at the forefront of innovation, making a tangible impact on Uber's growth and success. **What You’ll Do** - Lead a team of Data Scientists to uncover actionable insights and develop innovative solutions that enhance the technology and understanding of Marketplace Pricing and Matching systems. - Drive excellence and rigor in data science methodologies, leveraging techniques such as machine learning, experimentation, causal inference, time series analysis, and natural language processing to address complex marketplace challenges. - Collaborate with cross-functional teams—including Product Management, Engineering, Operations, and others—to execute impactful projects that align with business objectives. - Leverage data to tackle ambiguous and high-impact business problems, delivering meaningful solutions that improve the everyday experiences of our customers. **Basic Qualifications** - Ph.D., M.S. in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields - Minimum of 10 years of experience with 5 years of people management experience **Preferred Qualifications** - Experience in pricing, matching, and market design, with a deep understanding of their impact on marketplace dynamics and customer experiences. - Experience in leading data science teams, with a focus on mentoring and coaching people managers to achieve their full potential. - Deep understanding of the mathematical foundations of statistics, machine learning, optimization, economics, and analytics. - Hands-on expertise in experimental design, exploratory data analysis, statistical analysis, testing, and model development. - Proficiency in data ETL languages (e.g., SQL) and scripting languages like Python or R for robust data analysis. - Proven ability to prioritize and drive multiple workstreams forward simultaneously, ensuring timely and high-quality outcomes. - Skilled at empowering teams and aligning their career paths with overarching business goals. - Demonstrated success in collaborating with and influencing cross-functional stakeholders to achieve shared objectives. - A principled yet pragmatic approach—authentic in your convictions while adapting thoughtfully to situational needs. - Strong business acumen, exceptional analytical thinking, and the ability to influence decision-making at all levels. - Outstanding storyteller with a talent for articulating a compelling vision that integrates principled decision-making, user empathy, and data-driven insights. **Perks** - The rare opportunity to change the world such that everyone around you is using the product you built. We’re not just another social web app, we’re moving real people and assets and reinventing transportation and logistics globally - Sharp, motivated co-workers in a fun office environment **Benefits (U.S.)** - 401(k) plan, ESPP, gym reimbursement, paid company holidays and Uber credits. - Full medical/dental/vision package to fit your needs. - Unlimited vacation policy; work hard and take time when you need it. **About Uber** Uber is proud to be an Equal Opportunity/Affirmative Action 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. For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 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 is proud to be an Equal Opportunity/Affirmative Action 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.