Vacancy expired!
About the Role As a part of the Rider Pricing and promotions team, you will: Work on the next generation Rider pricing and incentives platforms and algorithms. Work with a variety of stakeholders - engineers, product managers, data scientists and engineering leads from other teams. Lead and mentor other engineers on the team. What You'll Do Write and document code to solve complex problems Partners with stakeholders to understand customer and/or business requirements. Translate requirements into effective design documents (e.g., ERDs, RFCs) to address clearly defined business or technical problems. Go oncall once in few weeks for the backend services that our team owns. Basic Qualifications Bachelor's degree in Computer Science or related technical field or equivalent practical experience Experience coding with C, Java, Python, or Go Preferred Qualifications At least five (5) years of software engineering experience A passion for low latency and scalability are the two words that describe the right mentality for this role. A willingness and curiosity to learn both the systems and domain in which you will be solving problem statements Knowledge of large dataset storage systems like NoSQL, HDFS (+Hive) and message queue/stream processing systems like Kafka About the Team Uber Marketplace (https://marketplace.uber.com/) is at the core of Uber's business, and rider pricing and incentives are strategically critical components of Marketplace. The mission of the team is to foster growth and increase profitability of Uber by pushing the frontiers of machine learning, data science and economics and developing highly reliable and scalable platforms to accelerate Uber's impact to the transportation industry. The team is rapidly growing with high impact and visibility from the top. We are responsible for developing state of the art technology to optimize the pricing and incentives strategy in our platform that directly drives efficiencies and effectiveness across rider interaction with Uber. We handle a significant trunk of all the pricing and incentives budget we are spending at Uber and we aim to build long-term loyalty among Uber riders and create a healthy and balanced ecosystem.
Vacancy expired!