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We got a new job details in Uber & they are Hiring Candidates for Decision Scientist II
Company Name : Uber
Company Location : Bengaluru, Karnataka
Job Position : Decision Scientist II
Job Category : Jobs in Bengaluru
Job Description :
About the Role
The Risk and Payments Data Science & Analytics team is responsible for identifying and minimizing all possible risks and frauds in the Uber Marketplace. The team proactively monitors frauds and builds solutions by collaborating with Product, Operations, and Engineering teams.
We also streamline Uber’s payment experience by analyzing vast quantities of data 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 You Will Do -—
Build scalable analytical frameworks to support product analytics for Uber’s 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 toward 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 in pipeline engineering efforts
– What You Will Need -—
6+ years of experience (Bachelor) OR 5+ 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
SQL mastery. Write efficient and complex code in SQL
Experience in Python/R and experimentation, A/B testing, and statistical modeling
Experience in Payments or Compliance with a Product / Tech company
Proven ability to handle and visualize 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
At Uber, we reimagine the way the world moves for the better. The idea was born on a snowy night in Paris in 2008, and ever since then, our DNA of reimagination and reinvention carries on. We’ve grown into a global platform moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
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.
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