Job Description

Uber is seeking a Senior Data Scientist for its Risk Decision Science team to identify and mitigate emerging fraud trends. The role involves collaboration with cross-functional teams and requires a strong blend of business and technical skills to drive impactful strategies and communicate findings effectively.

Requirements

5+ years in a data-focused role such as product analytics, business analytics, business operations, or data science
Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics or other quantitative fields
Experience in framing ambiguous business problems into structured analytical work
Highly proficient in data science and visualization tools, such as SQL, Python, R, Tableau
Proficient at defining, utilizing and communicating performance metrics
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

Responsibilities

Deliver impactful and meaningful strategies to mitigate/stop fraudulent activities and achieve key results (OKRs)
Apply data analysis, experimentation, ML/LLM models to support the development of risk strategies and interventions while preserving and improving the user experience
Participate in project definition and idea generation, work on collaborative projects with partners across the globe such as product, engineering, comm ops and regional teams with a focus on the Risk/Fraud mitigation
Evolve our risk metrics, shape and influence our data models and instrumentation to generate insights and develop new data products and models
Communicate efficiently and present findings to the leadership team to strengthen business decisions
Stay highly engaged and always hustle as Uber Risk is a very fast-paced environment

Benefits

Employees at Uber are often offered comprehensive health, life, disability, and mental wellness benefits, along with wellbeing stipends, travel medical coverage, and monthly Uber credits for Rides and Eats. Employees also get generous paid parental leave, flexible time off, and family-planning support so they can care for themselves and their families at every stage.