Capital One

Capital One

Senior Data Scientist - Applied AI

Pimmit Hills, Virginia, USFull-time$136k - $155k/YEAR2 days agovia Adzuna

Job description

Salary: $135,600 - 154,800 per year

Requirements:
• Bachelors Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related element) with 2 years of experience in data analytics
• Masters Degree in a quantitative field or an MBA with a quantitative focus is preferred
• Experience with AWS
• Proficiency in Python, Scala, or R for at least 2 years
• Minimum of 2 years experience in machine learning
• At least 2 years experience using SQL
• Prior exposure to AI, information retrieval, or NLP
• Strong statistical background including understanding of model validation and analysis techniques

Responsibilities:
• Collaborate with a multidisciplinary team of data scientists, software engineers, and product managers to create a product that resonates with our customers
• Utilize a diverse array of technologies, including Python, Conda, AWS, H2O, and Spark, to uncover insights from extensive datasets
• Build machine learning models, overseeing every phase from initial design through to training, evaluation, validation, and implementation
• Communicate complex concepts effectively, translating technical details into achievable business goals

Technologies:
• AI
• AWS
• Support
• Machine Learning
• Python
• SQL
• Scala
• Spark
• Cloud
• Big Data
• LLM
• Matrix

More:

At Capital One, we are passionate about using data to drive innovation. As a leader in the data-driven decision-making arena, we have evolved from a disruptive startup to a Fortune 200 company. Our Commercial Bank Data Science Applied AI team is pioneering Generative AI capabilities and utilizing advanced methodologies like Retrieval Augmented Generation and Prompt Engineering. We offer a competitive and comprehensive benefits package to support your overall well-being. Located in McLean, VA, we are excited to welcome new talent who are ready to make an impact.

last updated 11 week of 2026

Responsibilities

  • Collaborate with a multidisciplinary team of data scientists, software engineers, and product managers to create a product that resonates with our customers
  • Utilize a diverse array of technologies, including Python, Conda, AWS, H2O, and Spark, to uncover insights from extensive datasets
  • Build machine learning models, overseeing every phase from initial design through to training, evaluation, validation, and implementation
  • Communicate complex concepts effectively, translating technical details into achievable business goals
  • Machine Learning

Qualifications

  • Bachelors Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related element) with 2 years of experience in data analytics
  • Experience with AWS
  • Proficiency in Python, Scala, or R for at least 2 years
  • Minimum of 2 years experience in machine learning
  • At least 2 years experience using SQL
  • Prior exposure to AI, information retrieval, or NLP
  • Strong statistical background including understanding of model validation and analysis techniques
  • Python
  • SQL
  • Scala

Benefits

  • Salary: $135,600 - 154,800 per year
  • We offer a competitive and comprehensive benefits package to support your overall well-being

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