Applied Scientist • Mid-Level

Who you are

You hold a Ph.D., M.S., or Bachelor's degree in Statistics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields. With at least 2 years of industry experience as an Applied or Data Scientist, you have a solid foundation in statistical methods and data analysis. Proficiency in programming languages such as Python and Java is essential, as is your ability to communicate complex findings to both technical and non-technical audiences. You thrive in collaborative environments, working closely with Product, Operations, and Engineering teams to drive initiatives that enhance user experience and operational efficiency.

Desirable

Experience with causal inference techniques and optimization algorithms will set you apart. Familiarity with machine learning modeling and its application in real-world business problems is highly valued. You are comfortable presenting your findings and insights to diverse audiences, ensuring that your work translates into actionable strategies.

What you'll do

In this role, you will deploy a wide variety of methodologies, including causal inference techniques, experiments, funnel analyses, machine learning modeling, and optimization algorithms to solve real-world business and customer problems. You will collaborate with Product, Operations, and Engineering partners to design a roadmap of features and initiatives, as well as the long-term team strategy. Your ability to present findings to both technical and non-technical audiences will be crucial in driving the adoption of your insights across the organization.

You will focus on building smart levers to maintain reliability while driving efficiency, improving unit economics, and growing adoption and retention of the Reserve product. Key projects will involve major changes in Pricing, Matching, and Dispatch, transitioning from heuristic-based decision-making to machine learning models that make key decisions in real-time. You will also work on enhancing the Driver and Rider experience, including discoverability and awareness generation levers, and pilot new use cases that leverage the Reserve Tech as a platform to unlock new vectors of growth.

What we offer

Uber fosters a collaborative culture where innovation thrives. You will have the opportunity to work on impactful projects that directly influence the user experience and operational efficiency of the Reserve product. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Our hybrid work model allows for flexibility, ensuring you can balance your professional and personal life effectively. Join us at Uber and be part of a team that is shaping the future of transportation.