Manager II, Science (Merchant Optimization)

About the Role

Key Responsibilities

• Lead and mentor a team of senior data scientists and applied scientists, fostering a culture of innovation and impact.
• Design and execute rigorous A/B experiments to optimize pricing, incentives, and other marketplace levers.
• Collaborate cross-functionally with engineering, product, and operations teams to drive strategic decision-making.
• Generate actionable insights from large-scale data sets to inform both short-term execution and long-term product direction.
• Define and measure key success metrics, ensuring alignment with business goals.
• Advocate for best practices in data science, model monitoring, and causal inference within the organization.
• Propose and guide framework of data analysis and experiments to drive business insight and facilitate decisions.
• Collaborate closely with Engineering and Product teams to productionize models, enhance data observability and metrics with dashboards, and conduct experiments and in-depth analysis.
• Communicate with leadership and cross-functional teams, including presentation of the Science team's work on models, solutions, and data analytics findings.

Requirements

• Ph.D/M.S degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.
• Minimum 7 years of industry experience as a Scientist or equivalent (5+ years if holding a Ph.D. degree).
• Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.
• Minimum 1 year of experience in managing a team of Applied / Data Scientists with strong people leadership skills including growing and mentoring your team members.
• Experience with tools like SQL or R in a production environment.
• Proficiency using Python, pySpark at scale with large data sets.
• Experience in tech or marketplace industries.
• Exceptional problem-solving skills and the ability to translate complex data into clear, actionable insights.
• Excellent communication skills, with the ability to influence technical and non-technical stakeholders.

Nice to Have

• Experience in a marketplace, ride-sharing, or delivery platform.
• Knowledge of reinforcement learning, optimization algorithms, or econometrics.
• Prior experience working with large-scale distributed systems and real-time data processing.
• 2+ years of experience in managing a team of Applied / Data Scientists with strong people leadership skills including growing and mentoring your team members.

Qualifications

• Educational background with a Ph.D or M.S degree in a relevant quantitative field.

Benefits & Perks

• For San Francisco, CA-based roles: The base salary range is USD$212,000 per year - USD$235,500 per year.
• For Sunnyvale, CA-based roles: The base salary range is USD$212,000 per year - USD$235,500 per year.
• Eligibility to participate in Uber's bonus program, and potential equity awards and other compensation.
• Eligibility for various benefits as detailed at https://www.uber.com/careers/benefits.