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Director, Data Scientist - External Data Strategy

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Capital One

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Location:
United States , McLean ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

269100.00 - 335100.00 USD / Year
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Job Description:

Director, Data Scientist - External Data Strategy. The External Data Strategy team builds the data pipelines, advanced analytics, and models that enable Capital One to understand our customer’s financial lives. We lead the full data lifecycle from sourcing new data, designing and implementing features pipelines, to providing support to our data users across the business. We leverage Python, Spark, SQL, Databricks, and other AWS capabilities to deliver powerful data for our customers.

Job Responsibility:

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver data and insights that drive the business
  • Leverage a broad stack of technologies — Python, Conda, AWS, Databricks, Spark, and more — to reveal the insights hidden within huge volumes of data
  • Build machine learning models and data pipelines through all phases of development, from design through training, evaluation, validation, and implementation
  • Develop deep subject matter expertise in consumer financial data and how that data enables Capital One to make the right decisions for our customers
  • Lead a team of 10-15 data scientists as a leader-of-leaders by setting a strategic agenda, providing technical oversight and guidance, and developing talented individual contributors and managers
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals

Requirements:

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics
  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics
  • A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics
  • At least 4 years of experience leveraging open source programming languages for large scale data analysis
  • At least 4 years of experience working with machine learning
  • At least 4 years of experience utilizing relational databases

Nice to have:

  • At least 3 year of experience working with AWS
  • At least 3 year of experience managing people
  • At least 5 years of experience in Python for large scale data analysis
  • At least 5 years of experience with machine learning
  • At least 5 years experience with Spark
What we offer:
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)

Additional Information:

Job Posted:
January 06, 2026

Employment Type:
Fulltime
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