Uber
Manager II, Science – Matching, Membership
About The Team
We are hiring science managers across multiple teams, including delivery logistics (matching) and membership. The Delivery Logistics (matching) science team is responsible for building various large-scale technologies which power our global marketplace. These include designing real-time backend matching & scheduling systems, creating new delightful user experiences via different delivery options with intelligent pricing, and serving predictions such as estimated time to delivery (ETD) used for decision making across the marketplace for various pricing systems.
The Membership science team is responsible for designing and building the Uber One membership program, the company's highest long-term ROI lever covering 30 million users across all lines of business. Modeling and experimentation power structural benefits for users, member acquisition and churn prevention, engagement incentives, and efficient marketplace interactions.
What You Will Do
Lead a team of scientists, including growing and mentoring your team members.
Partner closely with cross-functional stakeholders and other science teams to identify business needs and translate them into technical roadmaps to deliver impactful solutions.
Communicate complex findings and recommendations to senior leadership.
Solve ambiguous, challenging business problems using data-driven approaches including causal inference, optimization and machine learning.
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.
7+ years of industry experience as an applied or data scientist or equivalent (or 4+ years with Ph.D.).
1+ years managing a team of scientists.
Excellent communication and collaboration skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl).
Experience designing experiments and interpreting 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.
2+ years managing a team of scientists.
Experience in leading key technical projects and substantially influencing the scope and output of others.
Thought leadership to drive cross-functional projects from concept to production.
Experience in large-scale marketplace algorithm design or experimentation platform.
Salary and Benefits For New York, NY-based roles: The base salary range for this role is USD$212,000 per year – USD$235,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year – USD$235,500 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. More details can be found at https://www.uber.com/careers/benefits.
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Other
Industries Internet Marketplace Platforms
#J-18808-Ljbffr
The Membership science team is responsible for designing and building the Uber One membership program, the company's highest long-term ROI lever covering 30 million users across all lines of business. Modeling and experimentation power structural benefits for users, member acquisition and churn prevention, engagement incentives, and efficient marketplace interactions.
What You Will Do
Lead a team of scientists, including growing and mentoring your team members.
Partner closely with cross-functional stakeholders and other science teams to identify business needs and translate them into technical roadmaps to deliver impactful solutions.
Communicate complex findings and recommendations to senior leadership.
Solve ambiguous, challenging business problems using data-driven approaches including causal inference, optimization and machine learning.
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.
7+ years of industry experience as an applied or data scientist or equivalent (or 4+ years with Ph.D.).
1+ years managing a team of scientists.
Excellent communication and collaboration skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl).
Experience designing experiments and interpreting 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.
2+ years managing a team of scientists.
Experience in leading key technical projects and substantially influencing the scope and output of others.
Thought leadership to drive cross-functional projects from concept to production.
Experience in large-scale marketplace algorithm design or experimentation platform.
Salary and Benefits For New York, NY-based roles: The base salary range for this role is USD$212,000 per year – USD$235,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year – USD$235,500 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. More details can be found at https://www.uber.com/careers/benefits.
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Other
Industries Internet Marketplace Platforms
#J-18808-Ljbffr