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Data Scientist II

Data Scientist II

Uber

4 years

0 Lacs

hyderabad telangana india

Posted:2 days ago| Platform:

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Skills Required

data regulations risk analytics technology capture engineering solver support governance management triage metrics reporting drive pipeline statistics programming matlab python sql sas code experimentation testing agile

Work Mode

On-site

Job Type

Full Time

Job Description

About The Role

At Uber, we empower people to earn and transact on the platform and to do this across the globe for millions of customers, we need to be compliant with local regulations and manage the risk that is associated with fraud losses. The Risk experience and platform Data Science & Analytics team is responsible for keeping the platform safe from fraud losses while minimizing friction to good customers. This team drives scalable solutions & products to ensure frictionless experience by driving growth initiatives while keeping an eye on potential losses. We aim to create magical customer experiences by leveraging data and technology to capture insights, identify opportunities, and ultimately prioritize product and engineering initiatives.Does this sound exciting to you? Are you a tested teammate, strategic problem solver, and executor? We want to hear from you.

What The Candidate Will Need / Bonus Points

What the Candidate Will Do
Build scalable analytical frameworks to support product analytics for Uber's Risk Experience and Governance Platform
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 Experience and Governance Platform
Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts
Basic Qualifications
4+ years of experience 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 Risk in 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
Liaise with Product and engineering counterparts to launch and impact new products

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Data Scientist II