Data Scientist, Fraud

Requirements:

• Exceptional knowledge of machine learning algorithms, statistical inference, and autonomous decision-making systems
• Enthusiasm to collaborate with different roles in product, analytics, and engineering to identify problems, explore trends, and untap growth opportunities
• Passion for continuous learning and a collaborative mindset, valuing open technical discussions and peer-to-peer knowledge sharing
• Mastery in Python and SQL
• Previous experience in fraud detection, payment optimization, or related financial services is a plus
• Strong academic background in a quantitative field

What You'll Be Doing:

• Working with a technical stack consisting of Python, Docker, SageMaker, Airflow, and Databricks
• Building and improving fraud prediction models using different predictive approaches
• Exploring techniques that can improve the way we manage payments, including Causal and Reinforcement Learning
• Handling the entire lifecycle from project conceptualization and notebook prototyping to productizing and maintaining a machine learning based solution or other automation that might be serving hundreds of millions of users in production
• Leveraging our in-house data and model platform that allows you to launch new projects in a matter of days
• Deploying and A/B testing solutions for millions of users, enabling fast feedback and measurable added value to customers

Perks and Benefits:

• Play a direct role in shaping the future of mobility
• Impact millions of customers and partners in 600+ cities across 50+ countries
• Work in fast-moving autonomous teams with some of the smartest people in the world
• Accelerate your professional growth with unique career opportunities
• Get a rewarding salary and stock option package that lets you focus on doing your best work
• Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork
• Take care of your physical and mental health with our wellness perks