Senior Scientist - Driver Pricing
Top Benefits
About the role
About The Role We are looking for candidates with a passion for solving new and difficult problems with data. In this role, you will be able to use your strong quantitative skills in the fields of machine learning, statistics, and/or operations research to improve the Uber user experience as well as the overall marketplace performance. You'll be joining the Driver Pricing team to design, evaluate, a build our systems for pricing trips for drivers
As an Senior Scientist you will solve key business problems including designing pricing structures for drivers, measuring causal impacts of offer pricing, and creating ML-driven optimizations for marketplace growth. You will work hand in hand with product, engineering, and operations on new product launches, experiment design and algorithm development. We are a fast-moving team and are looking for creative and curious minds to join us!
What You'll Do
- Build statistical, optimization, and machine learning models for applications including pricing, product UI, and experimentation.
- Work with engineers and product managers to turn data science prototypes into robust, reliable solutions.
- Use data to understand product performance and to identify improvement opportunities.
- Solve ambiguous, challenging business problems using data-driven approaches.
- Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction.
- Develop new methodologies for data science including modeling, coding, analytics, optimization, and experimentation.
- Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive system development end-to-end from conceptualization to final product.
Basic Qualifications
- Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathemathics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
- Minimum 2 years of industry experience as an Applied or Data Scientist or equivalent.
- Ability to use Python or R to work efficiently with large data sets
- Experience designing experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators
Preferred Qualifications
- Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
- Experience leading key technical projects and substantially influencing the scope and output of others.
- Knowledge of experimental design and analysis or experience with exploratory data analysis and model development
- Experience communicating qualitative research methods and findings to non-qualitative researchers
- Track record of engaging senior leadership effectively to build understanding of and consensus for the viewpoints of the team
- Solid theoretical and applied ML skills and a strong background in mathematics and stats
- Solid Programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala
- Expert in one of the following areas: Deep learning, ML System Design, A/B experimentation design, Causal Inference
- Experience of working with large dataset using Spark, Hive, HDFS is desired
- Analyze large data sets to identify behavior trends among good users and bad actors, using statistics, data mining, and machine learning techniques
- Thought leadership to drive multi-functional projects from concept to production.
For Canada-based roles: The base salary range for this role is CAD$164,000 per year - CAD$182,000 per year. 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.
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.
The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.
Senior Scientist - Driver Pricing
Top Benefits
About the role
About The Role We are looking for candidates with a passion for solving new and difficult problems with data. In this role, you will be able to use your strong quantitative skills in the fields of machine learning, statistics, and/or operations research to improve the Uber user experience as well as the overall marketplace performance. You'll be joining the Driver Pricing team to design, evaluate, a build our systems for pricing trips for drivers
As an Senior Scientist you will solve key business problems including designing pricing structures for drivers, measuring causal impacts of offer pricing, and creating ML-driven optimizations for marketplace growth. You will work hand in hand with product, engineering, and operations on new product launches, experiment design and algorithm development. We are a fast-moving team and are looking for creative and curious minds to join us!
What You'll Do
- Build statistical, optimization, and machine learning models for applications including pricing, product UI, and experimentation.
- Work with engineers and product managers to turn data science prototypes into robust, reliable solutions.
- Use data to understand product performance and to identify improvement opportunities.
- Solve ambiguous, challenging business problems using data-driven approaches.
- Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction.
- Develop new methodologies for data science including modeling, coding, analytics, optimization, and experimentation.
- Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive system development end-to-end from conceptualization to final product.
Basic Qualifications
- Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathemathics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
- Minimum 2 years of industry experience as an Applied or Data Scientist or equivalent.
- Ability to use Python or R to work efficiently with large data sets
- Experience designing experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators
Preferred Qualifications
- Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
- Experience leading key technical projects and substantially influencing the scope and output of others.
- Knowledge of experimental design and analysis or experience with exploratory data analysis and model development
- Experience communicating qualitative research methods and findings to non-qualitative researchers
- Track record of engaging senior leadership effectively to build understanding of and consensus for the viewpoints of the team
- Solid theoretical and applied ML skills and a strong background in mathematics and stats
- Solid Programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala
- Expert in one of the following areas: Deep learning, ML System Design, A/B experimentation design, Causal Inference
- Experience of working with large dataset using Spark, Hive, HDFS is desired
- Analyze large data sets to identify behavior trends among good users and bad actors, using statistics, data mining, and machine learning techniques
- Thought leadership to drive multi-functional projects from concept to production.
For Canada-based roles: The base salary range for this role is CAD$164,000 per year - CAD$182,000 per year. 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.
About Uber
We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now.
The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.