[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Uber jobs](https://jobs.opennash.com/companies/uber/) · [Search jobs](/search/) Uber · New York, NY # Senior Scientist - Marketplace (Multiple Teams) New York City, NY, United States Full-time Senior individual contributor $190,000 per year Research & Science Listed on Uber’s official careers site. Posted September 23, 2026. Check that it is still open and apply there. [Apply on Uber’s careers site →](https://iaziqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/UberCareers/job/302866) [OpenNash Jobs](https://jobs.opennash.com/) / [Uber](https://jobs.opennash.com/companies/uber/) / Senior Scientist - Marketplace (Multiple Teams) ## Job description About the Role of Science End-to-end product development from a data, analytics, modeling, and experimentation perspective. Specifically, formulating ambiguous business problems, prototyping various machine learning & optimization & causal inference & marketplace dynamics models, producing data insights, and designing & analyzing experiments. We are building the future of Uber's mobility and logistics platforms. ### Our teams drive innovation across critical areas including A central pillar of Uber’s delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B — from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We’re responsible for running an efficient marketplace with dispatch & pricing decisions. We enhance user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform. What you will do Solve ambiguous, challenging business problems using data-driven approaches including ML, Optimization, Causal Inference. Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability. Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives. Design and analyze experiments, and present results that provide actionable recommendations. Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization, and diagnostic tools, and experimentation paradigms. Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners. Own the product development cycle end to end from data and science aspects. ### Basic Qualifications Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields. 4+ years of industry experience as an Applied or Data Scientist or equivalent (or 2+ years with Ph.D.). Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl) Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R. Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators ### Preferred Qualifications Ph.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields. ### Excellent communication and collaboration skills Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams Experience in leading key technical projects and substantially influencing the scope and output of others Thought leadership to drive multi-functional projects from concept to production. Experience in large-scale marketplace algorithm design, membership / consumer growth, or experimentation platform. Experience with exploratory data analysis, statistical analysis and model development Strong programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala ## Responsibilities ### For New York City, NY-based roles The base salary range for this role is USD $190,000 per year - USD $211,000 per year. ### For San Francisco, CA-based roles 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. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. ## At a glance - Posted by the employer: Sep 23, 2026 - First seen by OpenNash: Oct 19, 2026 - Last checked: Oct 19, 2026 - Listed for: 26 days - Location: New York City, NY, United States - Employment type: Full-time - Pay: $190,000 per year[Apply on Uber’s careers site →](https://iaziqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/UberCareers/job/302866) ## More jobs at Uber ### [Sr Scientist, Tech - Science](https://jobs.opennash.com/companies/uber/jobs/8667005f4e1d4a7138dc/) New York City, NY, United States ### [Staff Scientist, Tech - Science](https://jobs.opennash.com/companies/uber/jobs/78aaf17a371eea1bca68/) New York City, NY, United States ### [Account Manager II, Eats SMB](https://jobs.opennash.com/companies/uber/jobs/2b7b388b52801a0c421c/) New York City, NY, United States ### [Account Partner - Grocery & Retail](https://jobs.opennash.com/companies/uber/jobs/bbdf96cef8bf038550c7/) New York City, NY, United States ## Similar jobs at other companies ### [Data Scientist [Multiple Positions Available]](https://jobs.opennash.com/companies/jpmorganchase/jobs/d1110f1b8891d1f30228/) JPMorganChase · New York, NY, United States ### [Private Client Banker - Stafford Marketplace - Stafford Marketplace](https://jobs.opennash.com/companies/jpmorganchase/jobs/bf4003fb0afcdc8f44bd/) JPMorganChase · Stafford, VA, United States ### [Applied Scientist Manager, Marketplace Intelligence](https://jobs.opennash.com/companies/amazon/jobs/6ca22108a11f866c64af/) Amazon · US, VA, Arlington ### [Product Manager - Marketplace Compliance](https://jobs.opennash.com/companies/ebay/jobs/08b788f2cbe311d8760a/) eBay · Austin, Texas ### [Research Scientist 6 - Ad Marketplace](https://jobs.opennash.com/companies/netflix/jobs/5b43d96fb4efedfae311/) Netflix · Remote, United States [Jobs in New York, NY](/locations/us/ny/new-york/)[Jobs in New York](/locations/us-ny/)[Research & Science jobs](/functions/research-science/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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