Sr. Scientist, Matching Segmentation
Top Benefits
About the role
About the Role
Have you ever wondered why it's taking so long for an earner to be matched to your trip, why the ETA is so long, or how an Earner is picked from the many around you? If so, the Mobility Matching Segmentation Science team is for you!
The Matching Segmentation team at Uber builds the systems that determine the optimal way to fulfill trips on the Mobility platform for two of the fastest growing products - Wait and Save and Priority. We work on the problems of determining which earners to send an offer to and when, the price to charge and so on! The solutions we build are critical for maintaining reliability and ensuring the trust of riders and earners alike.
We are looking for experienced scientists who relish the opportunity to develop novel approaches and apply them at Uber's scale. They ideally have a good balance of causal inference, analysis, experimentation, and modeling knowledge, as well as, an ability to use these skills to identify business opportunities and deliver product recommendations.
What You'll Do
- Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
- Design and analyze experiments, communicating results that draw detailed and actionable conclusions
- Analyze and contribute to development of optimization algos and ML models for use in mobility matching
- Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product
Basic Qualifications
- PhD, MS, or Bachelors degree in Operations Research, Statistics, Economics or other quantitative fields
- 4+ years of industry experience as Data Scientist or equivalent
- Proficient in SQL and advanced experience (2+ years) using Python/R to able to work efficiently at scale with large datasets
- Knowledge of experimental design and analysis (A/B, Switchbacks, Synthetic Control, Diff in Diff etc)
- Experience with exploratory data analysis, statistical analysis and testing and model development
- Good communication skills across technical, non-technical and executive audiences
Preferred Qualifications
-
Ability to work in self-guided manner
-
Have a growth mindset; love solving ambiguous, ambitious and impactful problems
-
Experience in optimization and/or algorithm development
-
Experience with dashboard / data visualization tools (i.e Tableau, Mixpanel, Looker or similar)
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.
Sr. Scientist, Matching Segmentation
Top Benefits
About the role
About the Role
Have you ever wondered why it's taking so long for an earner to be matched to your trip, why the ETA is so long, or how an Earner is picked from the many around you? If so, the Mobility Matching Segmentation Science team is for you!
The Matching Segmentation team at Uber builds the systems that determine the optimal way to fulfill trips on the Mobility platform for two of the fastest growing products - Wait and Save and Priority. We work on the problems of determining which earners to send an offer to and when, the price to charge and so on! The solutions we build are critical for maintaining reliability and ensuring the trust of riders and earners alike.
We are looking for experienced scientists who relish the opportunity to develop novel approaches and apply them at Uber's scale. They ideally have a good balance of causal inference, analysis, experimentation, and modeling knowledge, as well as, an ability to use these skills to identify business opportunities and deliver product recommendations.
What You'll Do
- Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
- Design and analyze experiments, communicating results that draw detailed and actionable conclusions
- Analyze and contribute to development of optimization algos and ML models for use in mobility matching
- Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product
Basic Qualifications
- PhD, MS, or Bachelors degree in Operations Research, Statistics, Economics or other quantitative fields
- 4+ years of industry experience as Data Scientist or equivalent
- Proficient in SQL and advanced experience (2+ years) using Python/R to able to work efficiently at scale with large datasets
- Knowledge of experimental design and analysis (A/B, Switchbacks, Synthetic Control, Diff in Diff etc)
- Experience with exploratory data analysis, statistical analysis and testing and model development
- Good communication skills across technical, non-technical and executive audiences
Preferred Qualifications
-
Ability to work in self-guided manner
-
Have a growth mindset; love solving ambiguous, ambitious and impactful problems
-
Experience in optimization and/or algorithm development
-
Experience with dashboard / data visualization tools (i.e Tableau, Mixpanel, Looker or similar)
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.