Manager, Data Scientist - Recommendation Systems Job at Capital One, New York, NY

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  • Capital One
  • New York, NY

Job Description

Salary: $197,300 - 245,600 per year Requirements:

  • Bachelors degree in a quantitative discipline (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field) plus 6 years of data analytics experience
  • Masters degree in a quantitative field or MBA with a quantitative focus plus 4 years of data analytics experience
  • PhD in a quantitative field plus 1 year of data analytics experience
  • Minimum 1 year of experience using open source programming languages for large scale data analysis
  • At least 1 year of experience in machine learning
  • At least 1 year of experience with relational databases
Responsibilities:
  • Collaborate with cross-functional teams including data scientists, software engineers, and product managers to create desirable products for customers
  • Utilize a diverse array of technologies like Python, Conda, AWS, H2O, and Spark to extract insights from extensive numeric and textual datasets
  • Develop machine learning models encompassing all stages: design, training, evaluation, validation, and deployment
  • Use strong communication abilities to interpret complex findings into actionable business objectives
Technologies:
  • AI
  • AWS
  • Machine Learning
  • Python
  • Spark
  • Cloud
  • Big Data
  • CI/CD
  • Support
  • Kubeflow
  • Mobile
  • PyTorch
  • PySpark
  • Web

More:

At Capital One, we are at the forefront of innovation in the credit card industry, driven by our passion for data. As a Fortune 200 company, we leverage cutting-edge technologies in machine learning to generate personalized experiences for our customers. Our elite Applied AI team focuses on creating impactful solutions through advanced research and scalable architectures. We offer a competitive benefits package, a collaborative work environment, and the opportunity to work in a meaningful role that influences the financial well-being of everyday people. We welcome applicants at our locations in McLean, New York, and San Jose.

last updated 17 week of 2026

Job Tags

Full time

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