Data Scientist II, Tech

About the role and team

Science at Uber means transforming the complex reality of global data into the insights that power our most significant decisions. As a Data Scientist II, you will turn complexity into clarity by deep-diving into massive datasets to solve features of moderate complexity and projects with multiple dependencies. This is an analytics-focused role where you will independently refine ambiguous questions and translate business requirements into system designs that improve the user journey for millions of riders, earners, and merchants worldwide.

You will join a high-stakes environment where the work is fast-moving, and the results are felt in the real world every day. Building and maintaining collaborative relationships with Product, Engineering, and Operations, you will lead the analysis of key product areas and establish monitoring systems to ensure code and platform reliability. This role is about taking ownership and driving impact — if you want to navigate the messy reality of global business challenges through data and own your work from inception to implementation, 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

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.