Principal, Data Scientist - Card Intelligence

Capital One Financial

Quick summary

Work type
On-site
Location
McLean, VANew York, NY
Salary
$161,800–$184,600 / yr
Posted
2 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k
This role $173k
$120k most similar roles pay here $231k

This role pays more than 61% of similar roles. Most pay $130,375–$211,200 — the shaded band above. At the midpoint, this role pays about $173k versus about $171k 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 798 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 794 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Principal, Data Scientist - Card Intelligence

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As a Principal Data Scientist at Capital One’s US Card Data Science team, you will lead the development and deployment of advanced machine learning models to enhance customer experiences across various stages of the credit card lifecycle. Your daily responsibilities include transforming complex data insights into actionable strategies that improve marketing, acquisitions, underwriting processes, and fraud prevention systems. You will work with big data technologies and collaborate closely with cross-functional teams to drive innovation and create impactful financial products for millions of cardholders. This role requires expertise in statistical analysis, machine learning algorithms, and proficiency in programming languages such as Python or R, alongside experience with tools like Hadoop, Spark, and SQL databases.

Skills

Python R SQL Hadoop Spark AWS Azure Git Jupyter Scikit-learn TensorFlow Keras CI/CD Docker PostgreSQL MongoDB

What you'll do

  • Develop and deploy advanced machine learning models for credit card lifecycle stages.
  • Analyze large datasets to drive strategic business decisions in marketing and acquisitions.
  • Enhance underwriting processes using sophisticated statistical techniques and data science.
  • Implement fraud prevention strategies through cutting-edge data analysis methods.
  • Lead initiatives that improve customer experiences by applying complex insights practically.

What we're looking for

  • Minimum 10 years of experience in data science or related field.
  • Proven track record in developing and deploying machine learning models.
  • Strong expertise in statistical analysis and big data handling.
  • Leadership skills to guide teams on complex data projects.
  • Deep understanding of credit card lifecycle processes.
  • Experience in marketing, acquisitions, underwriting, and fraud prevention.
  • Certified by the Committee of Presidents of Statistical Societies (COPSS).

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