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Market-Observed Role 🔍 Observed Likely Active (65-79)
This role was detected through Capital One's hiring system and hasn't been verified directly by the employer. Our algorithm scored it as Likely Active (65-79) based on freshness, specificity, and company patterns. What does this mean? →

Principal Associate, Data Scientist - NLP

Capital One
🔍 Observed
65
Hiring Activity Score
Likely Active (65-79)
  • Base score
  • Posted 21 days ago
  • has salary, has location, quality description (8780 chars)
  • Direct ATS (workday)
How the Hiring Activity Score works →
$147K - $168K USD
3 Locations First seen 3 weeks ago Last seen 3 hours, 48 minutes ago Workday
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Job Description

AI Summary
• Develop and deploy NLP and Large Language Model solutions for Capital One's mobile app and digital assistant Eno, working with cross-functional teams of engineers, scientists, and product managers • Build machine learning models through all development phases (design, training, evaluation, production) using technologies like PyTorch, AWS, Hugging Face, and LangChain to serve 80+ million customers • Serve as NLP expert to adapt, finetune, and operationalize LLMs for customer-facing applications that deliver personalized financial experiences • Requires expertise in Natural Language Processing, machine learning model development, and experience with modern AI/ML tools and cloud infrastructure at scale • Join a data-driven Fortune 200 company with a 35+ year history of innovation, working on next-generation generative AI technologies that help customers manage their finances
Job Information
  • Company:
    Capital One
  • Location:
    3 Locations
  • Job Type:
    Full-Time
  • Experience Level:
    Senior
  • Source:
    Workday
  • Status:
    Active
Activity Score
65 /100
Likely Active (65)

Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →

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✓ Verified Employer-Verified Posts

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🔍 Observed Market-Observed Roles

These roles were detected through employer hiring systems like Workday. They haven't been verified by the employer directly, so we score each one using our Hiring Activity Score — an algorithm that analyzes freshness, specificity, company hiring patterns, and more to estimate whether the role is actively being filled.

📊 Only high-scoring listings are shown

Our promise hasn't changed. We will never show you a listing we can't stand behind. Market-observed roles must pass our scoring threshold before they appear on RJRP. Anything that looks like a ghost job, a talent pipeline, or a dead listing gets filtered out — you'll never see it.