Data Scientist - Risk

About The Role

We're looking for a Data Scientist II to join our Risk Decision Science team to apply a data-driven approach to identify, understand, and scope emerging fraud trends on the Uber platform. In this role you'll be part of and work closely with a cross-functional team consisting of engineers, product managers, operations, and other data scientists. This role will be responsible for key performance metrics such as fraud losses, false positives, and operational efficiency. You will require a mix of business and technical acumen and also cross-functional skills to communicate with various internal and external stakeholders.

What The Candidate Will Need / Bonus Points

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

• Perform statistical analysis to understand Risk / Fraud behaviors, contribute to fraud detection features and models;
• Build and maintain fraud rules in response to evolving fraud behaviors;
• Extract insights from large volumes of data and create new strategies to mitigate/stop fraudulent activities;
• Build deep understanding of the Risk data, reporting, and key metrics;
• Conduct experimentations to test and optimize the effectiveness of risk mitigation solutions and products.
• Participate in project definition and idea generation, work on collaborative projects with stakeholders across the globe such as product, engineering, comm ops and data science with a focus on Risk/Fraud mitigations;
• Effectively communicate and present findings to the management team to strengthen business decisions;
• With guidance from manager, define and develop area of expertise;
• Attend regular training courses, functional business review meetings, and all-hand calls;
• Stay highly engaged and always hustle - Uber Risk is a very fast-paced environment.
  
  

Basic Qualifications

• Minimum 3 years of experience in a data-focused role such as product analytics, business analytics, business operations, or data science;
• Advanced degree in Mathematics, Statistics, Computer Science, Operational Research, Economics or other quantitative field or 5+ years of quantitative analytics experience if Bachelor's ;
• 3+ years of SQL experience (Hive, Spark, and other big data tools a plus);
• Experience with data analysis and visualization tools, such as Python, R, Tableau;
• Proficient at defining, utilizing and communicating performance metrics;
• Superb communication and stakeholder management skills;
• Proven aptitude toward Data Storytelling and Root Cause Analysis using data
• Proven track record of applying analytical/statistical methods to solve real-world problems using big data;
• Creative problem solving, critical thinking skills, and get things done attitude
• Hands-on, data-driven, and attentive to detail;
• Comfort with ambiguity and the ability to work in a self-guided manner;
  
  

Preferred Qualifications

• Risk/Fraud/Payments experiences a plus;
• Experience in experimentation, A/B testing and statistical modeling would be a plus;
• Experience in Python/R;
• Advanced degree in Mathematics, Statistics, Computer Science, Operational Research, Economics or other quantitative field or 5+ years of quantitative analytics experience if Bachelor's
  
  

For San Francisco, CA-based roles: The base salary range for this role is USD$140,000 per year - USD$156,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$140,000 per year - USD$156,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits., For San Francisco, CA-based roles: The base salary range for this role is USD$140,000 per year - USD$156,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$140,000 per year - USD$156,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.