Senior Associate, Data Scientist - Card Intelligence

Team Description

The US Card Data Science organization at Capital One leverages a massive wealth of customer data to drive business strategy and deliver world‑class customer experiences. The team builds and deploys sophisticated data science and machine learning models across the entire credit‑card lifecycle—including marketing, acquisitions, underwriting, and fraud prevention.

Responsibilities

• Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver a product customers love.
• Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal insights hidden within huge volumes of numeric and textual data.
• Build machine‑learning models through all phases of development, from design through training, evaluation, validation, and implementation.
• Translate the complexity of your work into tangible business goals using strong interpersonal skills.

Ideal Candidate

• Innovative: Continuously researches and evaluates emerging technologies, staying current on state‑of‑the‑art methods and seeking opportunities to apply them.
• Creative: Thrives on defining big, undefined problems, asks probing questions, and isn’t afraid to share new ideas.
• Technical: Comfortable with open‑source languages, passionate about further development, and has hands‑on experience building data‑science solutions on cloud platforms.
• Statistically‑minded: Experienced in building, validating, and back‑testing models; can interpret confusion matrices, ROC curves, clustering, classification, sentiment analysis, time series, and deep learning.
• Data guru: Unfazed by “big data,” skilled at retrieving, combining, and analyzing data from diverse sources and structures.

Basic Qualifications

• Bachelor’s degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) + 2 years of data‑analytics experience, or a Master’s degree in a quantitative field (or an MBA with a quantitative concentration) with the degree to be completed by the start date.

Preferred Qualifications

• Master’s or PhD in a STEM field (Science, Technology, Engineering, or Mathematics).
• Experience working with AWS.
• At least 2 years of experience in Python, Scala, or R.
• At least 2 years of experience with machine learning.
• At least 2 years of experience with SQL.

Pay

McLean, VA: $135,600 – $154,800 for Sr Assoc, Data Science
New York, NY: $148,000 – $168,900 for Sr Assoc, Data Science

Candidates hired in other locations will receive the pay range associated with that location. The role is also eligible for performance‑based incentive compensation, which may include cash bonuses and/or long‑term incentives.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support total well‑being. Eligibility varies based on full‑ or part‑time status, exempt or non‑exempt status, and management level.