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

Posted 2025-08-04
Remote, USA Full Time Immediate Start

Be a part of something bigger. We're looking for a Lead Data Scientist- REMOTE! This position is based in Remote and we are looking to fill it quickly. This position requires a strong and diverse skillset in relevant areas to drive success. An attractive remuneration of a competitive salary is on offer for the successful candidate.

 


 

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. 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. . Apply Job!

 

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