Uber
Overview
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Staff Scientist, Mobility Matching
role at
Uber . The Mobility Matching Science team builds systems that determine the optimal way to fulfill trips on the Mobility platform. We work on problems of determining which earners to send an offer to and when. The solutions we build are critical for maintaining reliability and trust of riders and earners alike. We are looking for experienced scientists who can develop novel approaches and apply them at Uber's scale, balancing causal inference, analysis, experimentation, and modeling to identify business opportunities and deliver product recommendations. What You’ll Do
Develop data-driven business insights and collaborate with cross-functional stakeholders to identify opportunities and prioritize product, growth, and optimization initiatives Design and analyze experiments, and communicate results with actionable conclusions Analyze and contribute to the development of optimization algorithms and ML models for mobility matching Collaborate with product, engineering, and operations to drive system development end-to-end from conceptualization to final product Basic Qualifications
Ph.D. or M.S. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field Minimum 5 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role Strong knowledge of statistics, machine learning, optimization, and economics Proven experience in experimental design (e.g., A/B testing) and causal inference Proficiency in Python or R for data analysis, modeling, and prototyping at scale with large datasets Experience with exploratory data analysis, statistical testing, and model development Preferred Qualifications
6+ years of industry experience in a similar quantitative role Ph.D. in a relevant quantitative field Deep expertise in marketplace experimentation, causal inference, ML, or optimization, especially for multi-sided platforms, incentive systems, or logistics Proficiency in SQL Experience in algorithm development, prototyping, and productionizing algorithms for real-time systems Ability to translate complex analytical results into clear, actionable insights and influence product and business strategy Excellent communication and presentation skills for diverse audiences, including senior leadership Experience leading technical projects and influencing research direction Familiarity with big data technologies (e.g., Spark, Hive, HDFS) Strong business acumen to shape vague questions into well-defined analytical problems and success metrics Compensation and Benefits
For San Francisco, CA-based roles: base salary range USD 212,000 – 235,500 per year. For Sunnyvale, CA-based roles: base salary range USD 212,000 – 235,500 per year. All US locations: eligible for Uber's bonus program and may be offered an equity award and other compensation. Benefits details are available at https://www.uber.com/careers/benefits. Seniority and Employment Type
Seniority level: Mid-Senior level Employment type: Full-time Job function: Research, Analyst, and Information Technology Industries: Internet Marketplace Platforms
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Join to apply for the
Staff Scientist, Mobility Matching
role at
Uber . The Mobility Matching Science team builds systems that determine the optimal way to fulfill trips on the Mobility platform. We work on problems of determining which earners to send an offer to and when. The solutions we build are critical for maintaining reliability and trust of riders and earners alike. We are looking for experienced scientists who can develop novel approaches and apply them at Uber's scale, balancing causal inference, analysis, experimentation, and modeling to identify business opportunities and deliver product recommendations. What You’ll Do
Develop data-driven business insights and collaborate with cross-functional stakeholders to identify opportunities and prioritize product, growth, and optimization initiatives Design and analyze experiments, and communicate results with actionable conclusions Analyze and contribute to the development of optimization algorithms and ML models for mobility matching Collaborate with product, engineering, and operations to drive system development end-to-end from conceptualization to final product Basic Qualifications
Ph.D. or M.S. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field Minimum 5 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role Strong knowledge of statistics, machine learning, optimization, and economics Proven experience in experimental design (e.g., A/B testing) and causal inference Proficiency in Python or R for data analysis, modeling, and prototyping at scale with large datasets Experience with exploratory data analysis, statistical testing, and model development Preferred Qualifications
6+ years of industry experience in a similar quantitative role Ph.D. in a relevant quantitative field Deep expertise in marketplace experimentation, causal inference, ML, or optimization, especially for multi-sided platforms, incentive systems, or logistics Proficiency in SQL Experience in algorithm development, prototyping, and productionizing algorithms for real-time systems Ability to translate complex analytical results into clear, actionable insights and influence product and business strategy Excellent communication and presentation skills for diverse audiences, including senior leadership Experience leading technical projects and influencing research direction Familiarity with big data technologies (e.g., Spark, Hive, HDFS) Strong business acumen to shape vague questions into well-defined analytical problems and success metrics Compensation and Benefits
For San Francisco, CA-based roles: base salary range USD 212,000 – 235,500 per year. For Sunnyvale, CA-based roles: base salary range USD 212,000 – 235,500 per year. All US locations: eligible for Uber's bonus program and may be offered an equity award and other compensation. Benefits details are available at https://www.uber.com/careers/benefits. Seniority and Employment Type
Seniority level: Mid-Senior level Employment type: Full-time Job function: Research, Analyst, and Information Technology Industries: Internet Marketplace Platforms
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