Data Scientist II

What the Candidate Will Need / Bonus Points

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

• 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

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.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

.Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .