Senior Associate, Data Scientist - Credit Line Increase Program

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VA
Salary: $135,600–$154,800 / yr
Posted: 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k

This role $145k

$100k most similar roles pay here $215k

This role pays less than 62% of similar roles. Most pay $135,000–$191,312 — the shaded band above. At the midpoint, this role pays about $145k versus about $163k 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 791 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Associate, Data Scientist - Credit Line Increase Program

Apply Now Log in to save

As a Senior Associate Data Scientist on the Upmarket CLIP team, you will play a pivotal role in developing and deploying machine learning models to optimize credit line offerings for high-value customers. Your day-to-day responsibilities include crafting innovative solutions across proactive, reactive, and interactive strategies, ensuring that models are both accurate and scalable. You will work closely with business analysts and engineers to manage the full lifecycle of these models from development through deployment and ongoing monitoring. The team leverages AWS extensively, requiring a strong technical background in big data handling and statistical analysis. This role offers an unparalleled opportunity to influence business decisions while gaining deep insights into cutting-edge machine learning practices at scale.

Skills

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

What you'll do

Develop and deploy machine learning models to optimize credit line offerings for high-value customers.
Analyze large datasets to identify patterns and insights that inform business decisions.
Collaborate on the full lifecycle of machine learning models, from development to governance.
Implement proactive strategies to enhance customer satisfaction through data-driven approaches.
Monitor model performance and make adjustments based on real-time data feedback.

What we're looking for

At least 3 years of experience in machine learning model development and deployment.
Strong background in statistical analysis and big data handling.
Proficient in AWS for data processing and cloud-based solutions.
Ability to work on the full lifecycle of machine learning models, including monitoring and governance.
Experience collaborating with business teams and technical partners to drive data-driven decisions.

Save