About the Role
Are you interested in working at the intersection of machine learning (ML), economics, engineering, and data science? Are you passionate about developing next-generation algorithms to power a variety of unique solutions in the pricing and logistics spaces?
The Delivery Marketplace Pricing team builds algorithms and products to set prices for the Eaters, Couriers and Merchants. We're hiring applied science managers that love marketplace problems.
What You'll Do
• Lead technical applied science teams. Your deep technical knowledge will allow you to work across data and applied sciences, product and engineering teams working together to build a great product.• Lead the creation of pragmatic, prioritized, actionable roadmaps that effectively distill vision and strategy into efficiently shipped results.• Be creative - relentlessly identify new ideas and data sources to solve very difficult problems.• Distill the vision and strategy for the team(s) to generate enthusiasm• Be deeply truth-seeking. Collect whatever data is necessary to inform product direction. Solicit and embrace critical feedback.• Collaborate with Uber internal partners, including product, engineering, product operations, finance, legal, policy and global operations teams to ensure that our technology supports Uber's business objectives, globally.• Drive cross-functional team to set qualitative objectives and quantitative goals• Comfortable enough with research methodologies to address abstract business and product problems with utmost precision.
Basic Qualifications
• Ph.D., MS or Bachelors degree in, Statistics, Economics, Machine Learning, Operations Research, Computer Science or other quantitative field.• 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 a language like Python or R to work efficiently at scale with large data sets• Proficiency in languages and tools like SQL, Hive, and Spark• Strong expertise in applied science/machine learning.
Preferred Qualifications
• Minimum 3 years of industry experience.• Management experience: 2 years• Ph.D. degree in Statistics, Economics / Econometrics, Machine Learning, Operations Research, or other quantitative disciplines.
Experience in experiment design and analysis and more generally causal inference.• Experience in algorithm development and prototyping.• Research or industry experience in Pricing, Optimization, Auctions preferred.• Bias towards action and impact - able to structure a project from idea, prototyping, productionization to impact quantification. Industry experience with a proven track record of delivering impactful results preferred.• Passionate and attentive self-starter, great communicator, amazing follow-through - you have a great work ethic and love the responsibility of being held accountable for the results.
At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 10,000 cities around the world.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
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.