Principal Associate, Data Science - US Card (Upmarket Segments)

About the role

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and relational databases in 1988. Fast‑forward a few years, and this innovation and our passion for data have propelled us to a Fortune 200 company and a leader in data‑driven decision‑making. As a Data Scientist at Capital One, you’ll be part of a team leading the next wave of disruption at a whole new scale, using the latest computing and machine‑learning technologies and operating across billions of customer records to unlock big opportunities that help everyday people save money, time, and frustration in their financial lives.

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

• Customer‑first mindset; focused on making the right decisions for customers.
• Innovative; continuously researches and evaluates emerging technologies and state‑of‑the‑art methods.
• Creative; thrives on defining and tackling large, undefined problems and isn’t afraid to share new ideas.
• Leader; challenges conventional thinking, works with stakeholders to improve the status quo, and is passionate about talent development.
• Technical; comfortable with open‑source languages and cloud platforms, with hands‑on experience developing data‑science solutions.
• Statistically‑minded; experienced in building, validating, and back‑testing models, interpreting confusion matrices, ROC curves, clustering, classification, sentiment analysis, time series, and deep learning.
• Data guru; able to retrieve, combine, and analyze 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) plus 5 years of data‑analytics experience.
• Master’s degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of data‑analytics experience.
• PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related).

Preferred Qualifications

• Master’s degree in a STEM field plus 3 years of data‑analytics experience, or PhD in a STEM field.
• At least 1 year of experience working with AWS.
• At least 3 years of experience in Python, Scala, or R.
• At least 3 years of experience with machine learning.
• At least 3 years of experience with SQL.
• Willingness to consider sponsorship for employment authorization.

Pay

• McLean, VA: $161,800 – $184,600 for Principal Associate, Data Science.
• New York, NY: $176,500 – $201,400 for Principal Associate, Data Science.
• Richmond, VA: $147,100 – $167,900 for Principal Associate, Data Science.
• Other locations: salary range will reflect the market for that location and will be detailed in the offer letter.
• Eligible for performance‑based incentive compensation, including cash bonuses and/or long‑term incentives (discretionary or non‑discretionary).

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.