Manager II, Science (Merchant Optimization)

Uber • San Francisco, CA • 12h ago

About the Role

As a Science Manager for merchant optimization, you will play a pivotal role in finding the best merchant selection for consumers, innovate on pricing models for merchants to effectively participate the marketplace to achieve their business objective with highest ROI while aligning the Uber's Delivery business by driving growth and profitability. This role is critical in shaping Uber's technical and product direction through data-driven insights and advanced analytical techniques. The ideal candidate will have deep expertise in experimentation, machine learning, and marketplace dynamics, along with strong leadership skills to mentor and guide a high-performing team.

What You Will Do

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.

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.

Bias to action and proven track record of getting things done.

Proficiency using Python, pySpark at scale with large data sets.

Experienced in partnering with cross-functional stakeholders to execute decisions.

Experience in tech or marketplace industries.

Exceptional problem-solving skills and the ability to translate complex data into clear, actionable insights.

Proven ability to lead and develop high-performing teams.

Excellent communication skills, with the ability to influence technical and non-technical stakeholders.

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.

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 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.

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://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform

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