About the Role

Our mission is create the best platform for our drivers. We are focusing on building a personalized experience that empowers earners to earn and progress effectively at Uber. We are looking for an experienced candidate who has the ability to break complex problems down into executable parts for testing, and is eager to take on new challenges.

---- What the Candidate Will Do ----

• Refine ambiguous questions and generate new hypotheses that benefit product through a deep understanding of the data, our customers, and our business

• Deliver end-to-end solutions rather than algorithms, working closely with the engineers on the team to productionize, scale, and deploy models world-wide.

• Use statistical techniques to measure success, develop northstar metrics and KPIs to help provide a more rigorous data-driven approach in close partnership with Product and other subject areas such as engineering, operations and marketing

• Design experiments and interpret the results to draw detailed and impactful conclusions.

• Collaborate with data scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.

• Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives.

• Present findings to senior leadership to drive business decisions

---- Basic Qualifications ----

• Ph.D., MS or Bachelors degree in Economics, Operations Research, Statistics, Computer Science, or other quantitative field

• 2+ years of industry experience as an Applied or Data Scientist or equivalent

• Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics

• Ability to use a language like Python or R to work efficiently at scale with large data sets

• Significant experience in setting up and evaluation of complex experiments

• Experience with exploratory data analysis, statistical analysis and testing, and model development

• Knowledge in machine learning techniques applicable to marketplace, platforms

• Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop

---- Preferred Qualifications ----

• Advanced SQL expertise

• Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways.

• Proven aptitude toward Data Storytelling and Root Cause Analysis using data

• Advanced understanding of statistics, causal inference, and machine learning

• Experience designing and analyzing large scale online experiments

• Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail

• Ability to work in a self-guided manner

• Ability to mentor, coach and develop junior team members

• Superb communication and organisation skills

For New York, NY-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$149,000 per year - USD$165,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform