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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 Data Scientist

Capital One
🔍 Observed
65
Hiring Activity Score
Likely Active (65-79)
  • Base score
  • Posted 13 days ago
  • has location, quality description (7575 chars)
  • 4 skills
  • Direct ATS (workday)
How the Hiring Activity Score works →
McLean, VA First seen 1 week, 6 days ago Last seen 6 hours, 33 minutes ago Workday
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Job Description

AI Summary
• Lead machine learning model development across all phases (design, training, evaluation, validation, implementation) for bank operations using Python, Snowflake, and emerging technologies like neural networks and LLMs • Partner with cross-functional teams including data scientists, engineers, business analysts, and product managers to deliver data-driven products that help customers with financial decisions • Require 5+ years of data science experience with hands-on expertise in open-source tools, cloud platforms, and demonstrated proficiency in clustering, classification, deep learning, and statistical validation • Work on high-impact applications including check/document reading, anomaly detection, NLP analysis, and operational forecasting across billions of customer records • Enjoy Fortune 200 company stability with a team culture that values innovation, continuous learning of emerging technologies, and translating complex technical work into clear business outcomes

Skills

aws go python sql
Job Information
  • Company:
    Capital One
  • Location:
    McLean, VA
  • 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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🔍 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.

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