Senior Associate, Data Scientist - Card Intelligence

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VANew York, NY
Salary: $135,600–$154,800 / yr
Posted: 6 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $172k

This role $145k

$127k most similar roles pay here $218k

This role pays less than 70% of similar roles. Most pay $143,450–$199,800 — the shaded band above. At the midpoint, this role pays about $145k versus about $172k 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 716 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 709 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Associate, Data Scientist - Card Intelligence

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As a Senior Associate Data Scientist in the Card Intelligence team at Capital One, you will work on developing and deploying advanced data science and machine learning models to enhance various stages of the credit card lifecycle, from marketing and acquisitions to underwriting and fraud prevention. Your daily tasks will involve analyzing large datasets using AWS and other tools to extract meaningful insights that inform strategic business decisions and improve customer experiences. This role requires a strong background in statistics, technical expertise with big data technologies, and proficiency in programming languages such as Python or R. You will collaborate closely with cross-functional teams to solve complex problems and drive innovation in the financial products space, impacting millions of cardholders daily.

Skills

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

What you'll do

Develop and deploy machine learning models to enhance credit card lifecycle processes.
Analyze large datasets to identify trends and patterns in customer behavior and preferences.
Create sophisticated data science solutions for marketing, acquisitions, underwriting, and fraud prevention.
Translate complex insights into actionable strategies that improve financial products and services.
Collaborate with cross-functional teams to integrate data-driven recommendations into business operations.

What we're looking for

Experience working with AWS.
Strong background in data science and machine learning.
Ability to handle and analyze big data effectively.
Innovative and creative problem-solving skills.
Technical expertise combined with statistical knowledge.

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