Sr Data Scientist
About The Position
PayPal is hiring a Sr Data Scientist to lead the development and implementation of advanced data science models and algorithms. The role works with stakeholders to understand requirements, deliver solutions, drive data science best practices, ensure data quality and integrity, and mentor junior data scientists. The position focuses on owning and executing fraud prevention strategies for consumer credit products. The Sr Data Scientist will use large, complex datasets to make data-driven decisions, design and monitor risk management strategies, identify gaps in fraud controls and respond to evolving fraud trends. The role balances customer experience, business enablement, operating expense, and loss exposure, and involves monitoring and optimizing solutions and communicating findings to technical and non-technical audiences. The role collaborates with teams across Risk Platform, Data Science, Operations, Product Management, Legal, Compliance, and other functions. PayPal describes its work model for the majority of employees as hybrid: three days in the office and two days at the employee’s choice of office or home workspace.
Requirements
- At least 3 years of relevant experience and a bachelor’s degree, or an equivalent combination of education and experience.
- Bachelor’s degree or higher in Mathematics, Statistics, Operations Research, Finance, Economics, or a related quantitative discipline.
- At least 3 years of proven credit or fraud risk analytics experience, or equivalent.
- Strong analytical thinking, organization, problem-solving ability, and capacity to perform detailed analysis.
- Strong written, oral, and interpersonal communication skills, including the ability to explain or present analysis.
- Willingness to get involved in detailed, hands-on work.
- Good business judgment and demonstrated ability to think creatively and strategically.
- Ability to maintain a flexible work schedule to collaborate effectively with teams across multiple time zones.
- Proficiency in Python and SQL.
Responsibilities
- Lead the development and implementation of advanced data science models and algorithms.
- Collaborate with stakeholders to understand requirements and deliver solutions.
- Drive data science best practices.
- Ensure data quality and integrity in all processes.
- Mentor and guide junior data scientists.
- Stay updated with the latest trends in data science.
- Own and execute fraud prevention strategies for consumer credit products.
- Use large, complex datasets to make data-driven decisions and answer business questions.
- Conceive, design, and monitor risk management strategies to manage fraud losses and improve business profitability for credit products.
- Identify opportunities and gaps in PayPal’s current fraud risk controls, including responding to evolving fraud trends.
- Formulate and propose solutions that balance user experience, business enablement, operational expense, and loss exposure.
- Communicate complex findings and strategy recommendations to technical and non-technical audiences.
- Monitor the performance of existing and new solutions and optimize them to achieve desired results.
- Work with Risk Platform, Data Science, Operations, Product Management, Legal, Compliance, and other teams to formulate and execute fraud risk solutions.
- Work with leadership and stakeholders to define project scope and direction, independently driving substantial parts of the work.
Benefits
- Generous paid time off
- Healthcare coverage for employees and their families
- Resources to support financial security and mental health
- Annual performance bonus, equity, or other incentive compensation, as applicable
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What This Job Offers
Job Type
Full-time
Career Level
Senior
