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System One

Lead Data Scientist ( consumer lending / credit cards data analytics )

System One, Pittsburgh, Pennsylvania, United States, 15222


For immediate consideration, please connect with me on LinkedIn at https://www.linkedin.com/in/dpotapenko and then email your resume, work authorization status, current location, availability, and compensation expectations directly to denis.potapenko@systemone.com - make sure to include the exact job title and job location in your email message.

The information below covers the role requirements, expected candidate experience, and accompanying qualifications.

*** The job is on-site with a HYBRID work schedule. Candidates must be local or willing to relocate within commuting distance of Chicago IL, Pittsburgh PA, Wilmington DE

Lead Data Scientist :

- Lead various analytical projects for credit card decision science initiatives - Supervise junior analysts - Create data-driven presentations for product team collaboration - Develop and implement consumer lending strategies - Design and execute machine learning models for credit decisioning - Analyze large-scale credit card portfolio performance

Required Qualifications (Skills, Experience, Education, Certifications) :

- Master's degree in Statistics, Mathematics, Computer Science, or related quantitative field - Experience in consumer lending data analytics, preferably with a major financial institution - Experience with Python / PySpark for large-scale data analysis - Experience with data visualization tools, particularly Tableau - Experience with statistical analysis and machine learning model development - Knowledge of credit risk assessment and decision science methodologies

For immediate consideration, please connect with me on LinkedIn at https://www.linkedin.com/in/dpotapenko and then email your resume, work authorization status, current location, availability, and compensation expectations directly to denis.potapenko@systemone.com - make sure to include the exact job title and job location in your email message.

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