{"schemaVersion":"jobsearcher.job.v1","id":"c380874dd96cdc48e04628b2","url":"https://jobsearcher.com/jobs/c380874dd96cdc48e04628b2","canonicalUrl":"https://jobsearcher.com/jobs/c380874dd96cdc48e04628b2","title":"Sr Data Scientist","description":"About the Role\n\nAs a Senior Data Scientist on the Merchant Optimization team, you will play a pivotal role in identifying the optimal merchant selection for consumers and innovating on pricing models that enable merchants to effectively participate in the marketplace. Your work will directly shape Uber's strategy by maximizing merchant ROI while driving growth and profitability across the Delivery business.\n\nYou will leverage advanced experimentation, machine learning, and a deep understanding of marketplace dynamics to develop data-driven solutions that influence product direction and improve marketplace efficiency.\n\nThe ideal candidate has strong technical expertise, a track record of driving impact through sophisticated analytical methods, and the ability to partner closely with product, engineering, and operations teams to bring scalable solutions to life.\n- What You Will Do -\n\nLead and mentor a team of data scientists and applied scientists, fostering a culture of innovation and impact.\nDesign and execute rigorous A/B experiments to optimize pricing, incentives, and other marketplace levers.\nCollaborate cross-functionally with engineering, product, and operations teams to drive strategic decision-making.\nGenerate actionable insights from large-scale data sets to inform both short-term execution and long-term product direction.\nDefine and measure key success metrics, ensuring alignment with business goals.\nAdvocate for best practices in data science, model monitoring, and causal inference within the organization.\nPropose and guide framework of data analysis and experiments to drive business insight and facilitate decisions.\nCollaborate closely with Engineering and Product teams to productionize models, enhance data observability and metrics with dashboards, and conduct experiments and in-depth analysis.\nCommunicate with leadership and cross-functional teams, including presentation of the Science team's work on models, solutions, and data analytics findings.\n\n- Basic Qualifications -\n\nPh.D/M.S degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.\nMinimum 5 years of industry experience as a Scientist or equivalent (3+ years if holding a Ph.D. degree).\nExperience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.\nExperience with tools like SQL or R in a production environment.\nBias to action and proven track record of getting things done.\nProficiency using Python, pySpark at scale with large data sets.\nExperienced in partnering with cross-functional stakeholders to execute decisions.\nExperience in tech or marketplace industries.\nExceptional problem-solving skills and the ability to translate complex data into clear, actionable insights.\nProven ability to lead and develop high-performing teams.\nExcellent communication skills, with the ability to influence technical and non-technical stakeholders.\n\n- Preferred Qualifications -\n\nExperience in a marketplace, ride-sharing, or delivery platform.\nKnowledge of reinforcement learning, optimization algorithms, or econometrics.\nPrior experience working with large-scale distributed systems and real-time data processing.\n\nFor San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 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.","company":"Uber","rawCompany":"uber","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-15T13:10:23.271Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2031.00","title":"Operations Research Analysts","slug":"operations-research-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"485310","title":"Taxi and Ridesharing Services","slug":"taxi-and-ridesharing-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr Data Scientist","description":"About the Role\n\nAs a Senior Data Scientist on the Merchant Optimization team, you will play a pivotal role in identifying the optimal merchant selection for consumers and innovating on pricing models that enable merchants to effectively participate in the marketplace. Your work will directly shape Uber's strategy by maximizing merchant ROI while driving growth and profitability across the Delivery business.\n\nYou will leverage advanced experimentation, machine learning, and a deep understanding of marketplace dynamics to develop data-driven solutions that influence product direction and improve marketplace efficiency.\n\nThe ideal candidate has strong technical expertise, a track record of driving impact through sophisticated analytical methods, and the ability to partner closely with product, engineering, and operations teams to bring scalable solutions to life.\n- What You Will Do -\n\nLead and mentor a team of data scientists and applied scientists, fostering a culture of innovation and impact.\nDesign and execute rigorous A/B experiments to optimize pricing, incentives, and other marketplace levers.\nCollaborate cross-functionally with engineering, product, and operations teams to drive strategic decision-making.\nGenerate actionable insights from large-scale data sets to inform both short-term execution and long-term product direction.\nDefine and measure key success metrics, ensuring alignment with business goals.\nAdvocate for best practices in data science, model monitoring, and causal inference within the organization.\nPropose and guide framework of data analysis and experiments to drive business insight and facilitate decisions.\nCollaborate closely with Engineering and Product teams to productionize models, enhance data observability and metrics with dashboards, and conduct experiments and in-depth analysis.\nCommunicate with leadership and cross-functional teams, including presentation of the Science team's work on models, solutions, and data analytics findings.\n\n- Basic Qualifications -\n\nPh.D/M.S degree in Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.\nMinimum 5 years of industry experience as a Scientist or equivalent (3+ years if holding a Ph.D. degree).\nExperience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.\nExperience with tools like SQL or R in a production environment.\nBias to action and proven track record of getting things done.\nProficiency using Python, pySpark at scale with large data sets.\nExperienced in partnering with cross-functional stakeholders to execute decisions.\nExperience in tech or marketplace industries.\nExceptional problem-solving skills and the ability to translate complex data into clear, actionable insights.\nProven ability to lead and develop high-performing teams.\nExcellent communication skills, with the ability to influence technical and non-technical stakeholders.\n\n- Preferred Qualifications -\n\nExperience in a marketplace, ride-sharing, or delivery platform.\nKnowledge of reinforcement learning, optimization algorithms, or econometrics.\nPrior experience working with large-scale distributed systems and real-time data processing.\n\nFor San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 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.","datePosted":"2026-07-15T13:10:23.271Z","dateModified":"2026-07-15T13:10:23.271Z","hiringOrganization":{"@type":"Organization","name":"Uber","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c380874dd96cdc48e04628b2"},"url":"https://jobsearcher.com/jobs/c380874dd96cdc48e04628b2"}}