PayPal Senior Machine Learning Scientist 

United States, California, San Jose 

1797390

Job Description:

In your day-to-day role, you will:

• Collaborate with partners to translate business challenges into Machine Learning problems.
• Mine data and extract valuable insights within PayPal’s extensive data environment.
• Apply cutting-edge machine learning algorithms to solve real-world problems.
• Work with engineers and product managers to develop and deliver end-to-end Machine Learning solutions that drive business value.
• Analyze diverse data types to generate actionable insights.
• Propose and lead research projects to explore new methodologies and technologies
• Develop and maintain tools and frameworks for continuous model evaluation and enhancement.

What do you need to bring:

Education:

• PhD or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.

Experience:

• Minimum of 5 years of experience in machine learning and data science.
• Proven track record of developing and deploying machine learning models in a production environment.
• Extensive experience in handling and processing large-scale datasets, including distributed computing and big data technologies.
• Proficiency in programming languages such as Python and Java.
• Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with data preprocessing, featureengineering, dataaugmentation, andmodel evaluation techniques.
• Familiarity with synthetic data generation tools and techniques.
• Familiarity with cloud-based machine learning platforms.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Experience in risk domain is a plus.
• Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
• Ability to work effectively in a fast-paced, collaborative environment.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The U.S. national annual pay range for this role is

$84500 to $204600

Our Benefits:

Any general requests for consideration of your skills, please