The Hailables team is dedicated to expanding Uber's business into a variety of exciting new markets where bringing Uber's technological advancements to "street-hail" (think standard Taxi) vehicles is the core feature of the marketplace. In major markets such as South Korea, Japan, and others this new hybrid model is the primary mode of operation for Uber, so this is a major growth bet of the company that depends on our ability to identify opportunities, build products, and iterate quickly to grow as effectively as we can.
As a Data Scientist on this team, you'll be a key leader in using data to understand the complexities of each of our unique Hailables marketplaces, designing and developing algorithms and product features the improve the customer experience, and running high fidelity experiments to close the loop on new launches.
What You'll Do
Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization, and work with engineering/product to productionize those algorithms and create impact in production.
Drive clarity and solve ambiguous, challenging business problems using data-driven approaches.
Propose and guide the framework of data analysis to drive business insight and facilitate decisions. Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.
Leverage data to understand product performance and to identify improvement opportunities
Design product experiments and interpret the results to draw detailed and impactful conclusions
Communicate with senior management and multi-functional teams
Provide recommendations to assist quick product ideation and feature launch decisions.
Build intelligent data-driven products to provide the best user experience
What You'll Need
Ph.D., MS or Bachelors degree in, Statistics, Economics, Machine Learning, Operations Research, Computer Science or other quantitative field. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience required)
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
5+ years of industry experience working as a data scientist or similar
Tech lead experience is a plus
Experience with productionizing algorithms for real-time systems
Proficiency in Java, Scala, or Go
Advanced experience in experimental design and analysis (e.g., A/B and market-level experiments), as well as causal inference
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.