Data Scientist 2

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

1. Build scalable analytical frameworks to support product analytics and experiments for Uber's New business Platform
2. Own new product experimentation including plan creation, roll-out, and monitoring
3. 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
4. Develop and track metrics and reporting functions to measure and monitor risk products on our platform
5. Effectively and proactively communicate insights and drive projects to drive towards team goals
6. Proactively seek out opportunities to build new solutions to tackle Risk and Identity challenges
7. Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts

---- Basic Qualifications ---

1. -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 scienc
2. eEducation in Engineering, Computer Science, Math, Economics, Statistics or equivalent experienc
3. eExperience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R
4. )Past experience with a Product / Tech company serving millions of customers on multiple platforms and countrie

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---- Preferred Qualifications --

1. --SQL mastery. Write efficient and complex code in S
2. QLExperience in Python/R and experimentation, A/B testing, and statistical modelli
3. ngExperience in Payments or Compliance with a Product / Tech compa
4. nyProven ability to handle and visualise large datasets, explore and utilize raw data fee
5. dsLove of data - you just go get the data you need and turn it into an insightful stor
6. y.A well-organized, structured approach to problem-solvi
7. ngStrong sense of ownership, accountability, and entrepreneurial spir
8. itGreat communicator, problem-solver & confident in decision maki
9. ngIndependent & autonomous, while still a strong teamma
10. teEnthusiastic, self-starting and thrives in changing, agile environmen