Easter Seals Jobs

About the Role

The mission of the Surge team is to maintain overall marketplace reliability by balancing supply/demand in real-time through dynamic pricing. We build scalable real-time systems to understand the state of the market, forecast future demand, make predictions using ML models, solve network optimization programs, and eventually make pricing decisions for each rider session.

Surge plays a critical role in service of Uber's mission to make transport accessible. We generate billions of dollars in annual gross bookings for the company by optimizing network efficiency and make a significant contribution to driver earnings. In addition to pricing, the signals we generate are some of the most important features used in practically every optimization/ML system across Uber. Although we are a backend team, what we do has an outsized impact on our riders because prices and reliability are two of the most important elements of customer experience.

We are looking for candidates with a passion for solving new and difficult problems with data. In the role, you will be able to use your strong quantitative skills in the fields of economics, machine learning, computer science, and/or operations research to improve outcomes for Uber's earners and overall marketplace.

What the Candidate Will Do

• Build statistical, optimization, and machine learning models for a range of applications in the earner incentives 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.

• Present findings to senior management 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 Bachelor's degree in Statistics, Economics, Mathemathics, Computer Science, 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 languages in SQL

Preferred Qualifications

• 2+ years of industry experience.

• Experience in algorithm development and prototyping.

• 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$149,000 per year - USD$165,500 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 https://www.uber.com/careers/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform