Capital One
Principal Associate, Data Scientist -Financial Services
$147K–$185K
Plano, TX +1 · Principal · Full-time · Posted Aug 28, 2026
- Location
- Plano, TX
McLean, VA - Experience
- 5 years of data analytics with a bachelor's degree; 3 years with a master's degree or quantitatively concentrated MBA; no years specified for a PhD. Preferred: 1 year with AWS and 3 years in Python, Scala, or R; machine learning; and SQL.
- Education
- Quantitative-field bachelor's degree, master's degree, quantitatively concentrated MBA, or PhD, as specified in the experience alternatives. A degree may be in progress if expected to be obtained by the scheduled start date.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Develop machine-learning models and analyze large-scale numeric and textual data to create customer-focused financial products and business insights.
What you'll do
- Partner with data scientists, software engineers, and product managers to deliver products.
- Build machine-learning models through design, training, evaluation, validation, and implementation.
- Translate analytical work into business goals and insights.
What they ask for
- A quantitative-field bachelor's degree plus 5 years of data analytics experience; or a quantitative-field master's degree or quantitatively concentrated MBA plus 3 years; or a quantitative-field PhD.
- Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- Experience building, validating, and backtesting models; familiarity with clustering, classification, sentiment analysis, time series, and deep learning.
- Ability to retrieve, combine, and analyze data from varied sources and structures.
Nice to have
- At least 1 year working with AWS.
- At least 3 years’ experience in Python, Scala, or R; machine learning; and SQL.
Pay
$161,800 - $184,600 USD base salary; $147,100 - $167,900 USD base salary
Tools
Python, Conda, AWS, H2O, Spark, Scala, R, SQL
AI focus
Develop machine-learning models and apply methods including clustering, classification, sentiment analysis, time series, and deep learning.
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