Commercial Banking Data Science Expert

4 days ago


New York, New York, United States Capital One Full time
Data Scientist Opportunity

Capital One's Commercial Banking team is seeking an experienced Data Scientist to join our ranks and contribute to the development of cutting-edge data-driven products. In this role, you will work closely with cross-functional teams to design, develop, and implement machine learning models that drive business growth and customer satisfaction.

About Capital One

Capital One is a leading provider of financial services, dedicated to delivering innovative solutions that meet the evolving needs of our customers. Our Commercial Banking team is committed to driving growth and customer satisfaction through data-driven decision-making.

Responsibilities
  • Develop predictive models using machine learning algorithms and techniques;
  • Analyze large datasets to identify trends, patterns, and correlations that inform business decisions;
  • Collaborate with cross-functional teams to deliver high-quality products that meet business requirements and customer needs;
  • Communicate complex technical concepts to non-technical stakeholders and provide data-driven insights to inform business decisions;
Requirements
  • Bachelor's degree plus 5 years of experience in data analytics, or Master's degree plus 3 years in data analytics, or PhD in a relevant field;
  • At least 1 year of experience in open-source programming languages for large-scale data analysis;
  • At least 1 year of experience with machine learning algorithms and techniques;
  • At least 1 year of experience with relational databases and SQL;
What We Offer

Capital One offers a competitive salary range of $161,900 - $184,800, depending on location and experience. Additionally, eligible candidates may be considered for performance-based incentive compensation. Our comprehensive benefits package includes medical, dental, and vision coverage, 401(k) matching, paid time off, and opportunities for professional growth and development.



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