Research Scientist • Intern

Who you are

You are a PhD candidate eager to apply your academic knowledge in a practical setting — you have a strong foundation in machine learning and are excited about using data to inform product decisions. You thrive in collaborative environments, working closely with scientists, software engineers, and product managers to tackle complex challenges. Your analytical mindset allows you to blend algorithms with human resourcefulness, making you well-suited for the dynamic nature of Uber's marketplace. You are passionate about solving real-world problems and are ready to contribute to innovative solutions that enhance user experiences.

What you'll do

As a Research Scientist Intern, you will be embedded in a product team, working on projects that directly impact Uber's Grocery & Retail Growth initiatives. You will leverage your skills in machine learning to develop models that optimize supply and demand dynamics within the marketplace. Your role will involve analyzing data to inform product decisions and collaborating with cross-functional partners to implement solutions. You will gain hands-on experience in the product development cycle, contributing to the creation of systems that enhance operational efficiency and user satisfaction. Throughout the internship, you will receive mentorship from experienced analysts and scientists, allowing you to grow your skills and knowledge in a supportive environment.

What we offer

Uber provides a unique opportunity to work at the intersection of technology and real-world applications. As an intern, you will gain valuable experience in a fast-paced environment, contributing to projects that have a significant impact on the company's operations. You will have the chance to network with professionals across various disciplines and learn from their expertise. Uber is committed to fostering a culture of collaboration and innovation, ensuring that you have the resources and support needed to succeed during your internship. This role is designed for those who are ready to make a difference and are excited about the potential of data-driven solutions in the grocery and retail sectors.