Principal Associate Data Scientist, Applied AI

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NYMcLean, VA
Salary
$161,800–$184,600 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $198k
This role $173k
$138k most similar roles pay here $246k

This role pays less than 60% of similar roles. Most pay $160,718–$234,312 — the shaded band above. At the midpoint, this role pays about $173k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 939 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 936 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Principal Associate Data Scientist, Applied AI

Role Posting Log in to save

Principal Associate, Data Scientist - Applied AI joins the Commercial Bank Applied AI team to embed Generative AI into core business processes. Working alongside a cross-functional team of data scientists, machine learning engineers, and product managers, you will develop enterprise-grade architectures including Multi-Agent Systems, Advanced RAG, Context Engineering, and Tool-Calling Frameworks. You will build models and pipelines through every phase of development, from fine-tuning to deployment, while managing vast volumes of numeric and textual data. The role requires proficiency in Python, LangChain, AWS, Workflows, and Vector Databases. Candidates must possess strong skills in machine learning, deep learning, sentiment analysis, time series, and SQL. This position focuses on solving complex problems by applying state-of-the-art methods to create practical Generative AI solutions that improve customer experiences within the financial services domain.

What does a Data Scientist earn in New York?

Median $173200 from 38 postings across 12 companies.

See salary data

Skills

Generative AI Python LangChain AWS Vector Databases RAG Machine Learning Deep Learning NLP SQL Scala R Statistics Time Series Clustering Classification Sentiment Analysis Data Science

What you'll do

  • Develop Generative AI solutions using Multi-Agent Systems, Advanced RAG, and Context Engineering.
  • Build production-ready pipelines for large volumes of numeric and textual data.
  • Manage the full lifecycle of Generative AI models from development to fine-tuning and deployment.
  • Utilize a tech stack including Python, LangChain, AWS, and Vector Databases.
  • Translate complex technical findings into tangible business goals for stakeholders.
  • Research and evaluate emerging technologies to maintain state-of-the-art capabilities.
  • Build and validate machine learning models using advanced statistical techniques.

What we're looking for

  • A Bachelor's degree in a quantitative field plus 5 years of experience performing data analytics.
  • A Master's degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics.
  • A PhD in a quantitative field.
  • A Master’s Degree or PhD in a STEM field (preferred).
  • At least 2 years of experience in AI, Information Retrieval, Deep Learning, or NLP (preferred).
  • At least 3 years of experience with Python, Scala, or R (preferred).
  • At least 3 years of experience with machine learning (preferred).
  • At least 3 years of experience with SQL (preferred).

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