Lead Data Scientist ( consumer lending / credit cards data analytics ) - REMOTE
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 [email protected] - 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 [email protected] - make sure to include the exact job title and job location in your email message.
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Apply Now
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 [email protected] - make sure to include the exact job title and job location in your email message.
.
Apply Now