Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Capital One

Principal Associate, Data Scientist – Applied AI

Capital One

. Partner with cross-functional teams of data scientists, machine learning engineers, and product managers to deliver Generative AI solutions .

Posted 9/25/2026full-timeUnited StatesJuniorMid-Level💰 $161,800 - $201,400 per yearWebsite

Tech Stack

Tools & technologies
AWSCloudPythonScalaSQL

About the role

Key responsibilities & impact
  • Partner with cross-functional teams of data scientists, machine learning engineers, and product managers to deliver Generative AI solutions
  • Use Python, LangChain, AWS, Workflows, and Vector Databases to build Multi-Agent systems and advanced RAG pipelines over numeric and textual data
  • Build Generative AI models and pipelines through context engineering, fine-tuning, evaluation, validation, and deployment
  • Research and evaluate emerging technologies and state-of-the-art methods, technologies, and applications
  • Translate complex technical work into tangible business goals
  • Develop and apply data science solutions using open-source tools and cloud computing platforms

Requirements

What you’ll need
  • Currently has, or is in the process of obtaining, a Bachelor's Degree in a quantitative field plus 5 years of experience performing data analytics; or a Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics; or a PhD in a quantitative field
  • At least 2 years of experience in AI, Information Retrieval, Deep Learning or NLP
  • At least 3 years of experience in Python, Scala, or R
  • At least 3 years of experience with machine learning
  • At least 3 years of experience with SQL
  • Hands-on experience in machine learning and AI through professional industry work or rigorous academic research
  • Experience with statistical modeling, model validation, backtesting, clustering, classification, sentiment analysis, time series, and deep learning
  • Experience developing data science solutions using open-source tools and cloud computing platforms
  • Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

Benefits

Comp & perks
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • Comprehensive, competitive, and inclusive health, financial and other benefits supporting total well-being
  • Reasonable accommodations for applicants with disabilities