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
2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $179k
This role $145k
$125k most similar roles pay here $235k

This role pays less than 72% of similar roles. Most pay $145,062–$212,439 — the shaded band above. At the midpoint, this role pays about $145k versus about $179k 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 · Senior Associate, Data Scientist - People Strategy & Analytics

As a Senior Data Scientist on Capital One’s People Strategy & Analytics team, you will support 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 these 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 technologies such as Python, SQL, AWS, LangChain, Hugging Face Transformers, VectorDBs, Pytorch/TensorFlow, you will uncover insights from large datasets to drive tangible business outcomes. This role requires a passion for human capital management, innovation, creativity, technical expertise, and statistical acumen.

What you'll do

  • Develop natural language processing and machine learning models through all phases.
  • Apply expertise in open source large language models for business applications.
  • Deliver industry-leading HR tools and AI-powered products with a cross-functional team.
  • Utilize 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

  • Experience developing natural language processing and machine learning models through all phases.
  • Proficiency in using open-source large language models (LLMs) for business applications.
  • Strong collaboration skills with cross-functional teams including data scientists, engineers, and product managers.
  • Technical expertise in Python, SQL, AWS, Hugging Face Transformers, Pytorch/TensorFlow, and other relevant technologies.
  • At least 2 years of experience in Python programming.
  • Experience working with relational databases like Snowflake and AI/ML ecosystems.

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