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: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $178k

This role $145k

$126k most similar roles pay here $226k

This role pays less than 70% of similar roles. Most pay $142,725–$212,439 — the shaded band above. At the midpoint, this role pays about $145k versus about $178k 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 · 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 building and deploying advanced data science models to enhance various stages of the credit card lifecycle, including marketing, acquisitions, underwriting, and fraud prevention. Your daily tasks will involve analyzing large datasets to derive actionable insights that improve customer experiences and financial product offerings. You should be proficient in AWS and possess a strong background in statistics and machine learning. The role requires an innovative mindset and the ability to handle big data challenges effectively, contributing to solutions that impact millions of cardholders.

Skills

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

What you'll do

Develop and deploy machine learning models to enhance credit card marketing strategies.
Analyze large datasets to improve customer acquisition and underwriting processes.
Implement advanced analytics to prevent fraud across the entire credit card lifecycle.
Translate complex data insights into actionable recommendations for business strategy.
Collaborate with cross-functional teams to integrate data science solutions effectively.

What we're looking for

Experience working with AWS and big data technologies.
Strong statistical analysis skills and expertise in machine learning models.
Ability to turn complex insights into actionable business strategies.
Background in credit card lifecycle processes including marketing and fraud prevention.
Innovative and creative approach to solving technical challenges.
Proficiency in leveraging customer data for strategic business decisions.

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