PayPal Data Scientist 

France, Auvergne-Rhône-Alpes 

768797662

What you need to know about the roleHow the role fits within the wider organisation + how the role/org service our customers.

Your day to day

• Apply advanced statistical techniques and algorithms on complex dataset to build statistical or financial models for prediction and alerting, as well as root cause analysis to drive actionable business insights for PayPal product or customer level fraud risk management

• Mine data covering a wide range of information from user profile to transaction details to solve risk problems that involve classification, clustering, pattern analysis, sampling, simulations. Leverage data to conduct risk business program and initiative analytics, monitoring, and reporting with scalable and flexible platform

• Conduct a 360-angle fraud risk framework that covers risk lifecycle metrics and customerexperience/engagement

• Carry out independent research and innovation in new content, ML and technological domains. Trouble shooting any data, system and flow challenges while maintaining flawless strategy execution

What do you need to bring

• Master’s degree with 3+ year professional experience in analytics and data science, or bachelor’s degree with 5+ year professional experience.

• Data driven mindset with degree in a quantitative discipline such as Computer Science, Statistics, Mathematics.

• Proven experience in employing mathematical, statistical and data mining methods on real world problems.

• Proficient in data mining and familiar with SQL, BigQuery, Python, etc. Excellent Python skill is a plus.

• Must be an intuitive, organized analytical thinker, with the ability to drive analysis end to end

• Industry experience in payments, e-commerce, or financial services is a plus.

• Exceptional written and verbal communication skills to influence cross-functional teams.

Travel Percent:

Any general requests for consideration of your skills, please