Senior Associate, Data Scientist - US Card (Applied GenAI)

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VA · New York, NY
Salary
$135,600–$154,800 / yr
Posted
33 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $175k
This role $145k
$122k most similar roles pay here $231k

This role pays less than 70% of similar roles. Most pay $133,675–$217,181 — 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.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Associate, Data Scientist - US Card (Applied GenAI)

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As a Senior Associate Data Scientist on the Servicing Intelligence team at US Card, you will work with cutting-edge generative AI models and tools like LangGraph, LlamaIndex, Weights and Biases Weave, PyTorch, and Hugging Face to automate workflows using vast amounts of unstructured data. Your daily tasks include assessing application architectures for production environments, defining requirements for AI observability, evaluating system behavior, and guiding annotators in creating high-quality datasets. You will collaborate closely with product, tech, and business teams to embed AI solutions across various domains such as customer service and regulatory compliance, ensuring that your work aligns with business outcomes while leveraging the latest generative AI technologies on a large scale.

Skills

AWS HuggingFace PyTorch LangGraph LlamaIndex WeightsandBiasesWeave LLMs VLMs AIobservability Continuousmonitoring Python PostgreSQL CI/CD Git JupyterNotebook

What you'll do

  • Apply expertise in unstructured data to harness the power of open source large language and visual models.
  • Automate workflows using a broad stack of technologies like LangGraph, LlamaIndex, Hugging Face, PyTorch, and AWS.
  • Assess generative AI application architectures for production environments, focusing on best practices.
  • Define requirements for AI observability to ensure traceable autonomous decisions and comprehensive audit trails.
  • Evaluate dynamic behavior of AI systems and develop continuous monitoring controls for non-deterministic outputs.

What we're looking for

  • At least 2 years of experience with AI/ML tools and ecosystems.
  • Proficiency in working with AWS and other cloud platforms.
  • Expertise in unstructured data analysis using LLMs and VLMs.
  • Experience automating workflows with large volumes of text and vision data.
  • Ability to assess generative AI application architectures for production use.
  • Strong skills in defining requirements for AI observability and monitoring.
  • Leadership and collaboration across diverse internal teams and stakeholders.

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