Uber

Science Manager - Dynamic Pricing (Surge)

Uber, San Francisco

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Science Manager - Dynamic Pricing (Surge)

Join to apply for the Science Manager - Dynamic Pricing (Surge) role at Uber

Science Manager - Dynamic Pricing (Surge)

2 days ago Be among the first 25 applicants

Join to apply for the Science Manager - Dynamic Pricing (Surge) role at Uber

About The Role
Applied Scientists at Uber use data to improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Dynamic Pricing (Surge) team, which owns our real-time pricing and platforms responsible for maintaining supply/demand balance and marketplace reliability.
We are looking for experienced 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 operations research, machine learning, and/or economics to improve the Uber user experience as well as the overall marketplace performance.
What You'll Do

Lead teams that help build statistical, optimization, and machine learning models for a range of applications in the pricing algorithms space.
Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
Use data to understand product performance and to identify improvement opportunities and define product/team roadmaps.
Present findings to senior leadership 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 Qualifications

Ph.D., M.S. or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
Knowledge of experimental design and analysis.
Experience with exploratory data analysis, statistical analysis and testing, and model development.
Ability to use Python to work efficiently at scale with large data sets.
Proficiency in SQL.

Preferred Qualifications:

6+ years of industry experience as an Applied or Data Scientist or equivalent.
Minimum 3 years of management or tech lead experience
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 San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 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 For San Francisco, CA-based roles: The base salary range for this role is USD$212,000 per year - USD$235,500 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

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Research, Analyst, and Information Technology
Industries
Internet Marketplace Platforms

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