Manager, Data Scientist - Us Card Dfs Acquisitions

Capital One

McLean, VA, United States
Base: $179,400 - $225,100 depending on location; b...
Not specified (assumed to be hybrid based on industry trends).
Python open-source programming languages
Machine learning model development lifecycle
Relational database experience
Capital One is seeking a Manager, Data Scientist for their US Card DFS Acquisitions team, focusing on building machine learning models to enhance credit card customer acquisitions. The ideal candidate will possess a strong technical background in data science, machine learning, and programming, along with leadership skills to drive innovation and collaboration across teams

Job Summary

  • The team builds industry-leading machine learning models to empower core underwriting decisions for new credit card customer acquisitions.
  • Candidates will leverage a broad stack of technologies including Python, AWS, H2O, and Spark to reveal insights from huge volumes of data.
  • This role offers eligibility for performance-based incentive compensation including cash bonuses and long-term incentives.

Matching Summary

Match Score: 85

Capital One is seeking a Manager, Data Scientist for their US Card DFS Acquisitions team, focusing on building machine learning models to enhance credit card customer acquisitions. The ideal candidate will possess a strong technical background in data science, machine learning, and programming, along with leadership skills to drive innovation and collaboration across teams.

Salary

Base: $179,400 - $225,100 depending on location; Bonus/Equity: Performance based incentive compensation eligible; Benefits: Comprehensive health, financial and other benefits included

Skills & Requirements

Must-have

  • Python open-source programming languages
  • Machine learning model development lifecycle
  • Relational database experience
  • Statistical modeling and validation
  • AWS cloud computing platforms

Nice-to-have

  • Creative problem solving skills
  • Leadership and talent development
  • Cross-functional collaboration abilities
  • Experience with deep learning techniques
  • Passion for innovation and status quo challenge

Key Requirements

  • Bachelor's degree plus 6 years experience OR Master's/PhD with less experience
  • At least 1 year experience with open source languages for large scale data analysis
  • At least 1 year experience working with machine learning
  • At least 1 year experience utilizing relational databases

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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