Senior Associate, Data Scientist - People Strategy & Analytics

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA
Salary
$135,600–$154,800 / yr
Posted
29 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $175k
This role $145k
$120k most similar roles pay here $231k

This role pays less than 68% of similar roles. Most pay $133,425–$215,762 — the shaded band above. At the midpoint, this role pays about $145k versus about $175k 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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

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View all roles at Capital One Financial

At a glance

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

As a Senior Associate Data Scientist on Capital One’s People Strategy & Analytics team, you will develop and implement natural language processing and machine learning models to enhance HR efficiency and talent decision-making. Your daily tasks include designing, training, evaluating, and validating AI models using open-source large language models through prompt engineering and retrieval-augmented generation techniques. You will collaborate with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deliver cutting-edge HR tools and AI-powered products. Utilizing Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, Pytorch/TensorFlow, and other technologies, you will uncover insights from large datasets to drive tangible business outcomes. This role requires a passion for human capital management, innovation, creativity, technical proficiency, and statistical expertise, with experience in AI/ML tools such as AWS, Python, Snowflake, Hugging Face, VectorDBs, and Pytorch/TensorFlow being highly preferred.

What you'll do

  • Develop natural language processing and machine learning models through all stages.
  • Engineer prompts and use RAG with open-source LLMs to create business applications.
  • Utilize Python, SQL, AWS, and other technologies to extract insights from data.
  • Collaborate on delivering cutting-edge HR tools and AI-powered products with teams.
  • Translate complex data science work into clear, actionable business outcomes.

What we're looking for

  • Experience in developing natural language processing and machine learning models.
  • Proficiency in using open-source large language models through prompt engineering and evaluation metric frameworks.
  • Strong collaboration skills with cross-functional teams including data scientists, engineers, and product managers.
  • Technical expertise in Python, SQL, AWS, Hugging Face Transformers, and Pytorch/TensorFlow.
  • Ability to leverage a broad technology stack to extract insights from large volumes of numeric and textual data.
  • At least 2 years of experience in Python programming.

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