Senior Associate, Data Scientist - Audit Data Science

Capital One Financial

Quick summary

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

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $169k
This role $145k
$115k most similar roles pay here $226k

This role pays less than 66% of similar roles. Most pay $126,800–$211,200 — the shaded band above. At the midpoint, this role pays about $145k versus about $169k 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 - Audit Data Science

As a Senior Associate Data Scientist on the Audit Analytics and Innovation team, you will collaborate with data scientists, analysts, risk professionals, software engineers, and product managers to develop cutting-edge machine learning solutions across various domains including LLM-based chatbots, GenAI applications, AML/Fraud detection, and customer call analysis. Your day-to-day responsibilities include building and deploying NLP models using Python, Conda, Flask, Dash, Hugging Face, LangChain, AWS, H2O, Spark, and other tools to process large datasets, productionize scalable data pipelines, develop visualization tools for model monitoring, and investigate new technologies to enhance enterprise ML products. Ideal candidates are innovative, technically proficient, and skilled in communicating complex insights to diverse stakeholders, with at least two years of experience in Python, machine learning, and SQL.

What you'll do

  • Build and implement machine learning and NLP models across various phases of development.
  • Productionize scalable data pipelines to enhance feature changes and updates efficiently.
  • Develop visualization tools for streamlined model monitoring reports.
  • Investigate new technologies to advance data management and enterprise ML products.
  • Collaborate with cross-functional teams to manage risk and uncertainty in decision-making.

What we're looking for

  • At least 2 years of experience in Python, Scala, or R
  • Experience working with AWS and machine learning
  • Strong background in SQL and data management
  • Ability to build and productionize scalable data pipelines
  • Skilled in developing visualization tools for model monitoring
  • Innovative and creative approach to problem-solving
  • Proficient in a broad stack of technologies including Hugging Face, LangChain, Spark

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