Data Scientist Manager

5 days ago


New York, New York, United States Capital One Full time

About the Role

As a Data Scientist Manager at Capital One, you will be part of a team that's leading the next wave of disruption in the financial industry. We're looking for a talented individual to join our Commercial Banking Data Science team, where you will work on innovative data-driven solutions to improve the way commercial banking is done.

Key Responsibilities

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver data-driven products that meet customer needs
  • Leverage a broad stack of technologies, including Python, AWS, Spark, and more, to reveal insights hidden within huge volumes of numeric and textual data
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
  • Mine for real-time insights hidden in large internal and external datasets that have time and geospatial components to help Capital One and our customers make crucial business decisions
  • Communicate complex technical concepts to non-technical stakeholders and translate business goals into actionable data science projects

Requirements

  • Currently has, or is in the process of obtaining a Bachelor's Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining a PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date
  • At least 2 years' experience in open source programming languages for large scale data analysis
  • At least 2 years' experience with machine learning and statistical modeling
  • At least 2 years' experience with relational databases

Preferred Qualifications

  • PhD in a STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
  • At least 2 years of experience working within the finance, commercial banking, or risk management industry
  • At least 4 years' experience in Python for large scale data analysis
  • At least 4 years' experience with machine learning
  • At least 3 years' experience with SQL
  • At least 1 year of experience working with AWS

What We Offer

  • A comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being
  • A collaborative and dynamic work environment that fosters innovation and growth
  • The opportunity to work on cutting-edge data science projects that drive business results

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