Software Engineer II

About the role and team 

Engineering at Uber means building for real-world impact under real-world constraints. As a Software Engineer II on our Data and Storage teams, you will architect the foundational infrastructure that powers business decisions and core services for millions of users. Whether you are scaling distributed storage platforms or building high-performance data pipelines, you will be solving complex challenges at the intersection of low latency, high correctness, and massive scale.

The problems here are messy and the systems are global. You’ll need to make smart decisions with imperfect information, own your work end-to-end, and stay calm when high-load systems are on the line. We are looking for engineers who think in systems, pride themselves on robust monitoring, and believe that the best solutions are built through candid feedback and cross-functional collaboration. If you’re energized by challenges and motivated to move the real world - this is where you’ll grow.

Rate of Pay:                 $174,304 to $209,164 per Year

You will be eligible to participate in Uber's bonus program, and may be offered 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.

What you’ll do 

• Perform statistical analyses to understand risk and fraud behaviors and contribute to the development of fraud detection features and models. 
• Build and maintain fraud rules in response to evolving fraud behaviors. 
• Extract insights from large volumes of data to formulate new strategies for mitigating or stopping fraudulent activities. 
• Develop a deep understanding of risk data, reporting, and key metrics. 
• Conduct experiments to test and optimize the effectiveness of risk mitigation products and solutions. 
• Participate in project definition and collaborative initiatives with global stakeholders focused on risk and fraud mitigation. 
• Present findings effectively to the management team to support business decision-making. 
• With guidance, define and develop a specific area of expertise. 
• Stay engaged and proactive, as the environment is fast-paced. 
• May telecommute.
   

Basic Qualifications 

• Employer will accept a Master's degree in Mathematics, Statistics, Computer Science, Operational Research, Economics, or a related field and 2 years of experience in the job offered or in a related occupation.
• Position requires:
  • R or Python;
  • Database query languages: SQL;
  • Experimentation techniques including simulation or A/B testing;
  • Statistical analysis including descriptive statistics, correlation, regression, or confidence intervals;
    Developing relevant metrics;
  • KPIs to measure performance by product teams;
  • Quantitative modeling including machine learning models, time-series forecasting, or casual impact analyses;
  • Experience in risk, fraud, or payments.