Data Scientist - Fraud Automation Team

The Global Fraud Prevention – Automation team is a global, multi-disciplinary Data Science and R&D team. We build tools that automate risk solutions, working across various risk areas, such as consumer and seller risk operations, alongside product and modeling teams to identify opportunities that drive efficiency.

Requirements

• Bachelor’s degree in a relevant quantitative field (e.g., Industrial Engineering, Information Systems Engineering, Statistics) with 3+ years of applied data science/analytics experience, or a Master’s degree with 2+ years of experience.
• Strong analytical and problem-solving skills with a data-driven mindset
• Strong understanding of optimization techniques and decision-making frameworks
• Experience in predictive modelling techniques such as Regression, Classification and Time series forecasting
• Practical Knowledge of data structures and algorithms as applied to large-scale data mining
• Proficiency in Python for data analysis and developing algorithmic solutions
• Experience working with large datasets, querying (e.g., SQL), and data manipulation

Benefits

• Flexible work environment
• Employee shares options
• Health and life insurance
• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Tuition Reimbursement
• Relocation Assistance