Lead Data Scientist - Fraud Risk & Credit Analytics

BAM Ventures; Chicago (IL); Hybrid; USD 131,000 - 194,000; Full time

Benefits offered by this job

Hybrid work model

Healthcare coverage

Paid time off

Job summary

PayPal is seeking a data science leader to develop and implement advanced models and algorithms. You will collaborate with stakeholders to define requirements, drive best practices, and ensure data quality across projects.

This role also involves mentoring junior data scientists and staying current with industry trends. You will own fraud prevention strategies for consumer credit products, analyze large datasets, and balance user experience with risk controls.

Qualifications

• Bachelor’s degree or higher in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline.
• 3+ years proven credit or fraud risk analytics experience or equivalent.
• Strong written, oral, and interpersonal skills including the ability to explain and present analyses.

Responsibilities

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements and drive solutions.
• Drive best practices in data science and ensure data quality.
• Mentor junior data scientists.
• Stay updated with the latest trends in data science.
• Identify opportunities to reduce fraud losses and improve profitability of credit products.

Skills

Python

SQL

Analytical thinking

Problem solving

Communication skills

Stakeholder management

Education

Bachelor’s degree or higher in quantitative field

Job description

PayPal is seeking a data science leader to develop and implement advanced models and algorithms. You will collaborate with stakeholders to define requirements, drive best practices, and ensure data quality across projects.

This role also involves mentoring junior data scientists and staying current with industry trends. You will own fraud prevention strategies for consumer credit products, analyze large datasets, and balance user experience with risk controls.