Uber
Scientist II, Pricing and Incentives
Uber, San Francisco, California, United States, 94199
About The Role
Scientists at Uber use data to analyze, improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Pricing and Incentives team, which owns our automated real-time pricing and incentives algorithms and platform. You will work on analyzing data, creating new metrics, and designing experiments which will help design the models and inform the strategies that maintain reliability and improve the efficiency of Uber's Mobility marketplace.
We are looking for experienced candidates with a passion for analyzing data and solving new and difficult problems with data. In this role, you will be able to use your strong quantitative skills and creativity in the fields of statistics, economics, and coding to improve the Uber rider experience as well as the overall marketplace performance.
What You Will DoUse data to understand product performance and to identify improvement opportunities.Analyze data and build dashboards for monitoring of KPIs and market health.Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.Present findings to inform business decisions.Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.Basic QualificationsPh.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.1+ years of industry or academic experience in Applied or Data Scientist or equivalent.Experience in experimental design and analysis.Experience with exploratory data analysis, statistical analysis and testing, and model development.Proficiency in SQL.Preferred QualificationsAbility to use Python to work efficiently at scale with large data sets.Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.Experience in algorithm development and prototyping.Experience in pricing optimization.Experience with productionizing algorithms for real-time systems.Well-honed communication and presentation skills.
For New York, NY-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 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 compensation. You will also be eligible for various benefits.#J-18808-Ljbffr
Scientists at Uber use data to analyze, improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Pricing and Incentives team, which owns our automated real-time pricing and incentives algorithms and platform. You will work on analyzing data, creating new metrics, and designing experiments which will help design the models and inform the strategies that maintain reliability and improve the efficiency of Uber's Mobility marketplace.
We are looking for experienced candidates with a passion for analyzing data and solving new and difficult problems with data. In this role, you will be able to use your strong quantitative skills and creativity in the fields of statistics, economics, and coding to improve the Uber rider experience as well as the overall marketplace performance.
What You Will DoUse data to understand product performance and to identify improvement opportunities.Analyze data and build dashboards for monitoring of KPIs and market health.Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.Present findings to inform business decisions.Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.Basic QualificationsPh.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.1+ years of industry or academic experience in Applied or Data Scientist or equivalent.Experience in experimental design and analysis.Experience with exploratory data analysis, statistical analysis and testing, and model development.Proficiency in SQL.Preferred QualificationsAbility to use Python to work efficiently at scale with large data sets.Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.Experience in algorithm development and prototyping.Experience in pricing optimization.Experience with productionizing algorithms for real-time systems.Well-honed communication and presentation skills.
For New York, NY-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 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 compensation. You will also be eligible for various benefits.#J-18808-Ljbffr