**About the Role** As a **Scientist** on the Merchant Optimization team, you will help drive growth and profitability for Uber's Delivery business by supporting the development of data-driven solutions that improve merchant selection, pricing models and sales performance on Uber. You'll work alongside senior scientists and cross-functional partners to analyze data, run experiments, and contribute to building models that help merchants achieve their goals while enhancing the overall marketplace experience. This is an excellent opportunity for someone early in their data science career to make real-world impact, learn from experienced team members, and grow their skills in experimentation, analytics, and machine learning. **What You Will Do** 1. Conduct data exploration and support analysis to evaluate merchant performance, pricing strategies, and user behavior. 2. Assist in designing and analyzing A/B experiments to optimize marketplace features. 3. Build dashboards and reports that communicate key trends and business metrics. 4. Collaborate closely with senior scientists, engineers, and product managers to support data-driven decision-making. 5. Help with data cleaning, validation, and preparation for model development and analysis. 6. Learn and apply statistical and machine learning techniques under guidance from senior team members. 7. Document analytical findings and present them in a clear and concise manner to internal stakeholders. ---- Basic Qualifications ---- 1. Ph.D/M.S degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields. 2. Minimum 3 years of industry experience as a Scientist or equivalent (1+ years if holding a Ph.D. degree). 3. Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development. 4. Experience with tools like SQL or R in a production environment. 5. Bias to action and proven track record of getting things done. 6. Proficiency using Python, pySpark at scale with large data sets. 7. Experienced in partnering with cross-functional stakeholders to execute decisions. 8. Experience in tech or marketplace industries. 9. Exceptional problem-solving skills and the ability to translate complex data into clear, actionable insights. ---- Preferred Qualifications ---- 1. Experience in a marketplace, ride-sharing, or delivery platform. 2. Knowledge of reinforcement learning, optimization algorithms, or econometrics. 3. Prior experience working with large-scale distributed systems and real-time data processing. 4. Experience with data visualization tools (e.g., Tableau, Plotly, or similar). For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 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