Drimva

Capital One

Senior Associate, Data Scientist - Beyond AML Modeling & Innovations

$123K–$155K

McLean, VA +1 · Senior · Full-time · Posted Sep 22, 2026

Location
McLean, VA
Richmond, VA
Experience
Bachelor’s route: 2 years performing data analytics. Preferred: at least 2 years’ experience in Python, Scala, or R; machine learning; and SQL.
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

Develop and deploy data science and AI solutions that modernize risk assessment, using machine learning and large-scale numeric and textual data.

What you'll do

  • Partner with data scientists, software engineers, and product managers to deliver products.
  • Build models through design, training, evaluation, validation, and implementation.
  • Translate technical findings into tangible business goals.

What they ask for

  • 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.
  • Hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
  • Experience building, validating, and backtesting models; knowledge of clustering, classification, sentiment analysis, time series, and deep learning.

Nice to have

  • Master’s or PhD in a STEM field.
  • Experience with AWS; at least 2 years in Python, Scala, or R, machine learning, and SQL.

Pay

$135,600 - $154,800 USD base salary (McLean, VA); $123,300 - $140,700 USD base salary (Richmond, VA)

Tools

Python, Conda, AWS, H2O, Spark, Scala, R, SQL

AI focus

Leverage AI to modernize risk assessment, including traditional machine learning, natural language processing, graph-based modeling, and Generative AI.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)