Build scalable analytical frameworks to support product analytics for Ubers Risk and Identity Platform
Own new product experimentation including plan creation, roll-out, and monitoring
Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues
Develop and track metrics and reporting functions to measure and monitor risk products on our platform
Effectively and proactively communicate insights and drive projects to drive towards team goals
Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges
Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts
---- Basic Qualifications ----
4+ years of experience (Bachelor) OR 3+ years of experience (Masters) in a data-focused role such as product analytics, business analytics, business operations, or data science
Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R)
Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries
---- Preferred Qualifications ----
SQL mastery. Write efficient and complex code in SQL
Experience in Python/R and experimentation, A/B testing, and statistical modelling
Experience in Payments or Compliance with a Product / Tech company
Proven ability to handle and visualise large datasets, explore and utilize raw data feeds
Love of data - you just go get the data you need and turn it into an insightful story.
A well-organized, structured approach to problem-solving
Strong sense of ownership, accountability, and entrepreneurial spirit
Great communicator, problem-solver & confident in decision making
Independent & autonomous, while still a strong teammate
Enthusiastic, self-starting and thrives in changing, agile environments
Job Classification
Industry: Internet Functional Area / Department: Data Science & Analytics Role Category: Data Science & Machine Learning Role: Data Scientist Employement Type: Full time