Capital One
Senior Associate, Data Scientist - US Card (Applied GenAI)
$136K–$169K
McLean, VA +1 · Senior · Full-time · Posted Aug 26, 2026
- Location
- McLean, VA
New York, NY - Experience
- Bachelor’s degree path requires 2 years of data analytics experience; preferred experience includes at least 2 years in Python, Scala, or R, machine learning, SQL, and AI/ML tools and ecosystems.
- Education
- Bachelor’s Degree in a quantitative field plus 2 years of data analytics experience, or a Master’s Degree in a quantitative field or an MBA with a quantitative concentration.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Build and operationalize applied generative AI and data science solutions using unstructured text and image data for customer servicing and business processes.
What you'll do
- Develop, train, evaluate, validate, and operationalize machine learning and NLP models in scalable production systems.
- Assess GenAI application architectures and define observability, auditability, monitoring, and testing controls for AI systems.
- Guide dataset curation and collaborate with engineering, product, business, and data science teams to align solutions with business outcomes.
What they ask for
- Bachelor’s Degree in a quantitative field plus 2 years of experience performing data analytics, or a Master’s Degree in a quantitative field or an MBA with a quantitative concentration.
- 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.
Nice to have
- Master’s Degree or PhD in a STEM field.
- Experience with AWS; at least 2 years’ experience in Python, Scala, or R, machine learning, SQL, or AI/ML tools and ecosystems.
Pay
$135,600 - $154,800 USD base salary (McLean, VA); $148,000 - $168,900 USD base salary (New York, NY)
Tools
LangGraph, LlamaIndex, Weights and Biases Weave, Hugging Face, PyTorch, AWS, Python, SQL
AI focus
Apply open-source LLMs and VLMs to unstructured text and image data; build production GenAI workflows and models, with observability, audit trails, monitoring, testing, and risk controls.
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