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Senior Manager, Data Scientist

Job in McLean, Fairfax County, Virginia, USA
Listing for: DataJobs
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 250800 - 286200 USD Yearly USD 250800.00 286200.00 YEAR
Job Description & How to Apply Below

Join Capital One and work on data science solutions within the US Card organization, where your models support customer management use cases like real-time customer behavioral prediction and valuation forecasts
. This onsite role is based in McLean, VA
, with an annual salary range of $229,900 to $262,400
, plus eligibility for performance-based incentives.

What you’ll do
  • Collaborate with a cross-functional group of data scientists
    , software engineers
    , and product managers to deliver solutions customers love.
  • Apply a broad technology stack, including Python
    , Conda
    , AWS
    , H2O
    , and Spark
    , to uncover insights from large volumes of numeric and textual data.
  • Build machine learning models across the full lifecycle, from design and training to evaluation
    , validation
    , and implementation
    .
  • Translate technical complexity into tangible business goals by using interpersonal skills to align with stakeholders.
Team and impact

As part of the US Card data science organization
, the team focuses on customer management. You will help develop top-tier machine learning capabilities for business needs, working closely with partners across Upmarket, engineering, analysts, data science/quants, and product.

Required qualifications
  • Currently has, or is in the process of obtaining (with the expectation the degree will be obtained on or before the scheduled start date), one of the following:
    • A Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics; or
    • A Master’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics) (as specified in the posting).
  • At least 2 years of experience using open source programming languages for large scale data analysis.
  • At least 2 years of experience working with machine learning
    .
  • At least 2 years of experience utilizing relational databases
    .
Skills and tools you’ll use
  • Python
    , Conda
    , AWS
    , H2O
    , Spark
    , Scala
    , R, and open-source programming languages.
  • Clustering
    , classification
    , sentiment analysis
    , time series
    , and deep learning
    , along with relational databases.
Preferred qualifications
  • PhD in a STEM field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics.
  • At least 1 year of experience working with AWS
    .
  • At least 1 year of experience managing people.
  • At least 5 years of experience in Python, Scala, or R for large scale data analysis.
  • At least 5 years of experience with machine learning
    .
Compensation and incentives

McLean, VA
: $229,900 - $262,400 (Sr Mgr, Data Science).
New York, NY
: $250,800 - $286,200 (Sr Mgr, Data Science).

This role is also eligible for performance based incentive compensation
, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Benefits

Capital One provides a comprehensive, competitive, and inclusive set of health
, financial
, and other benefits to support your total well-being (eligibility varies).

Additional details
  • Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
  • Expected to accept applications for a minimum of 5 business days
    .
  • No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination.
  • Capital One promotes a drug-free workplace.
  • If you require an accommodation, contact Capital One Recruiting at or Recruitin
    .
  • For technical support or questions about the recruiting process, email .
Position Requirements
10+ Years work experience
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