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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