Principal Associate, Data Scientist - People Strategy & Analytics

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$161,800–$184,600 / yr
Posted
2 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $168k
This role $173k
$115k most similar roles pay here $221k

This role pays more than 62% of similar roles. Most pay $131,625–$203,725 — the shaded band above. At the midpoint, this role pays about $173k versus about $168k 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 778 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 773 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Principal Associate, Data Scientist - People Strategy & Analytics

As a Principal Associate Data Scientist on Capital One’s People Strategy & Analytics team, you will lead the development of advanced natural language processing and machine learning models to enhance HR efficiency and talent decision-making. Your day-to-day responsibilities include designing, training, evaluating, and implementing AI models using open-source large language models through prompt engineering and retrieval-augmented generation techniques. You will collaborate closely with a cross-functional team comprising data scientists, software engineers, business analysts, and product managers to deliver cutting-edge HR tools and AI-powered products. Leveraging Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, Pytorch/TensorFlow, and other technologies, you will uncover valuable insights from large datasets to drive tangible business outcomes. This role requires a Master's Degree in a quantitative field plus three years of data analytics experience, with preference for candidates experienced in relational databases like Snowflake and AI/ML ecosystems such as Hugging Face or Pytorch/TensorFlow.

What you'll do

  • Build natural language processing and machine learning models through all development phases.
  • Apply expertise in open source large language models for business-specific applications.
  • Deliver industry-leading HR tools by partnering with cross-functional teams.
  • Leverage Python, SQL, AWS, and other technologies to extract insights from data.
  • Translate complex data science work into tangible business outcomes for stakeholders.

What we're looking for

  • Master's degree in a quantitative field plus 3 years of data analytics experience.
  • Experience building natural language processing and machine learning models through all development phases.
  • Proficiency in using open-source large language models (LLMs) for business applications.
  • Ability to partner with cross-functional teams to deliver HR tools and AI-powered products.
  • Technical expertise with Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, Pytorch/TensorFlow.
  • Strong interpersonal skills for translating complex data science work into aligned business outcomes.

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