Data Scientist Ii
1 week ago
Utilize data to understand Risk / Fraud behaviors and build fraud detection features, rule strategy and models that mitigate/stop fraudulent activities;
- Build and maintain fraud features, rules, and models in response to evolving fraud behaviors;
- Develop a deep understanding of Risk / Fraud data, reporting, monitoring and maintaining key metrics;
- Participate in product definition and idea generation activities by working on collaborative projects with stakeholders across the globe such as product, engineering, comm ops and data science with a focus on the Risk/Fraud mitigation;
- Effectively communicate and present findings to Uber management teams to strengthen business Risk Decisions.
- Define and develop Uber Risk / Fraud areas of expertise, manage stakeholder communication and other team's efforts in risk/fraud mitigation;
- Attend regular training courses, functional business review meetings, and all-hands;
- Stay highly engaged and always hustle as Uber Risk / Fraud is a very fast-paced environment
- 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 SQL and Python
- Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries
- Preferred Qualifications
- Prior experience in tech industry and in risk domain
- Graduated from premier institutes like IIT, BITS or NIT
- Advanced SQL knowledge
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