Applied Machine Learning Scientist

What role you will play in team: Research, develop, and implement novel machine learning solutions for fraud detection and risk management.

What you will do: Collaborate with engineers and product managers to deploy models into production and integrate them into PayPal's systems.

Key responsibility:

• Research and develop new machine learning algorithms for fraud detection.
• Design and implement machine learning pipelines.
• Evaluate model performance and identify areas for improvement.
• Collaborate with engineers to deploy models into production.
• Work with large datasets and distributed computing frameworks.

Required Qualification and Skills:

• PhD in Machine Learning, Statistics, or a related field.
• Strong theoretical foundation in machine learning.
• Experience with large-scale data processing and machine learning.
• Proficiency in Python or R.
• Excellent communication and teamwork skills.

Benefits Included:

• Competitive salary and benefits package.
• Opportunities for professional development and growth.
• Work on challenging and impactful problems.
• Health Insurance.
• Paid Time Off.

A Day in the Life: A typical day involves researching and developing new algorithms, working with large datasets, and collaborating with engineers to deploy models into production.