PayPal Manager Data Science 

United States, Illinois, Chicago 

262961942

Essential Responsibilities:

• Lead and manage data science projects, ensuring timely delivery and alignment with business goals.
• Develop and maintain data models, algorithms, and reporting systems to support data analysis and decision-making.
• Analyze complex datasets to identify trends, patterns, and insights that drive strategic initiatives.
• Collaborate with cross-functional teams to understand data needs and provide actionable insights.
• Ensure data quality and integrity through regular audits and validation processes.
• Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.

Minimum Qualifications:

• Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience.

Your way to impact:

• You will own & execute fraud prevention strategies for our global merchant lending products

• You will utilize large, complex datasets to make data-driven decisions and answer business questions

• Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement

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

• Conceive, design, and monitor risk management strategies to manage fraud losses and improve business profitability for credit products

• Identify opportunities and gaps within current portfolio of PayPal’s Fraud Risk controls, including continuously evolving fraud trends

• Formulate & propose solutions to ensure optimal balance between user experience, business enablement, operational expense, and loss exposure

• Effectively communicate complex findings and strategy recommendations to both technical and non-technical audience

• Monitor performance of existing & new solutions and optimize to ensure desired results

• Work closely with partners in Risk Platform, Data Science, Operations, Product Management, Legal & Compliance, and other teams to formulate and execute fraud risk solutions

What you need to bring:​

• Bachelor’s degree or higher in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline

• 8+ years proven credit or fraud risk analytics experience or equivalent

• Must be an intuitive, organized analytical thinker, exceptional problem solver with the ability to perform detailed analysis

• Strong written, oral, and interpersonal skills a must including the ability to explain and/or present analysis

• Aptitude and willingness to roll-up the sleeves and get involved in the details

• Must have good business judgment with demonstrated ability to think creatively and strategically

• Ability to work with leadership & stakeholders to define project scope and direction, driving large pieces of the work independently

• Ability to maintain a flexible work schedule to collaborate effectively with teams across multiple time zones

• Proficient in Python, R, SQL

• Proficient in Excel, Powerpoint & Word

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 US national annual pay range for this role is $152,500 to $262,350

Our Benefits:

Any general requests for consideration of your skills, please