Machine Learning Scientist 3
Description For Machine Learning Scientist 3
PayPal, a global leader in financial technology, is seeking a Machine Learning Scientist 3 to join their Global Analytics and Data Science division. This role offers an exciting opportunity to work on cutting-edge model and data solutions for PayPal's Risk business. The position combines advanced machine learning expertise with real-world financial technology applications.
The ideal candidate will lead complex data science projects, developing sophisticated machine learning models for credit business problems including demand generation, marketing, fraud detection, and account management. Working with PayPal's extensive data infrastructure, you'll utilize modern tools like Python, R, and SQL to extract insights from large datasets.
PayPal offers a balanced hybrid work model with 3 days in office and 2 days flexible between office or home. The company's culture emphasizes inclusion, innovation, collaboration, and wellness. As part of PayPal's mission to democratize financial services, you'll contribute to solutions that impact hundreds of millions of merchants and consumers globally.
The role offers comprehensive benefits including health insurance, equity options, retirement plans, and professional development opportunities. You'll join a diverse, global team working to create innovative experiences that make moving money, selling, and shopping simple, personalized, and secure across approximately 200 markets worldwide.
Responsibilities For Machine Learning Scientist 3
- Lead complex, multifunctional data science projects
- Design, develop and implement real-time, highly complex advance machine learning models
- Work with large volumes of data; extract and manipulate large datasets
- Collaborate with engineers to implement models
- Analyze data to identify trends, perform root cause analysis and test hypotheses
Requirements For Machine Learning Scientist 3
- Advanced degree (MS or PhD) in science or engineering field with 2+ years of relevant experience
- Experience in leading cross-functional, highly complex Data Science projects
- Data Mining experience in Python, R, H2O and/or SAS
- Familiar with various Machine Learning algorithms and Statistical methods
- Experience working with big data and professional experience in data mining
- Fluency with SQL or SQL-like tools
- Financial services or eCommerce experience a plus
Benefits For Machine Learning Scientist 3
- Employee shares options
- Health and life insurance
- Flexible work environment
- Retirement and investment resources
- Paid Time Off and 4-week sabbatical program
- Career and leadership training
- Educational benefits
- Company-matched giving
- Comprehensive health and wellness programs
