Uber's Account Actioning Data Science team is looking to ensure that policies on gaining and maintaining access to the Uber platform are transparent and fair
Requirements
Advanced SQL and Python expertise
Basic understanding of experimental design (such as A/B experiments) and statistical methods
Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)
Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative fields
Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story
Ability to solve complex business problems that cross multiple product/project areas and teams
Responsibilities
Refine ambiguous questions and generate new hypotheses about the product and business through a deep understanding of the data, our customers, and our business
Define how our teams measure success, by developing Key Performance Indicators and other user/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing
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 identify opportunities and recommend prioritization of product, growth, and optimization initiatives
Other
3+ years proven experience in product analytics or ontological data modeling
M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
Excellent judgment, critical-thinking, and decision-making skills
Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds
