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# Principal Associate, Data Scientist - Applied AI

- **Company:** Capital One Financial Corporation
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $161,800.0 - $184,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Information Retrieval, Python (Programming Language), Machine Learning, Open Source Technology, Sentiment Analysis, SQL Databases, Cloud Platform System, LangChain, Retrieval-Augmented Generation, Multi-Agent Systems, Prompt Engineering, Deep Learning, Generative AI, Information Technology, Data Analytics
- **Published:** November 8, 2026
- **Apply:** https://www.jofdav.com/jobs/60457302-principal-associate-data-scientist-applied-ai

## About the Role

* Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
 * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.
 * Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
 * Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning., * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
 + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
 + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
 + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field), * Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)
 * 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

## Description

The Commercial Bank Applied AI team is at the forefront of embedding Generative AI directly into core business processes. We specialize in building enterprise-grade architectures using advanced techniques such as Multi-Agent Systems, Advanced RAG, Context Engineering, Tool-Calling Frameworks etc. The ideal candidate is deeply passionate about the practical applications of Generative AI and brings hands-on experience in machine learning and AI, gained through either professional industry work or rigorous academic research.

In this role, you will:

 * Partner with a cross-functional team of data scientists, machine learning engineers, and product managers to deliver Generative AI solutions customers love.
 * Leverage a broad stack of technologies-Python, LangChain, AWS, Workflows, and Vector Databases-to build Multi-Agent systems and advanced RAG pipelines over vast volumes of numeric and textual data.
 * Build Generative AI models and pipelines through all phases of development, from context engineering through fine-tuning, evaluation, validation, and deployment.
 * Flex your interpersonal skills to translate the complexity of your work into tangible business goals.