Principal Data Scientist - AI for Data and Assessment

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 the relational database, cutting‑edge technology in 1988. Fast‑forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data‑driven decision‑making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

The AI for Data team builds and ships state‑of‑the‑art machine learning solutions to support the data lifecycle within the enterprise. We partner with product, tech and design teams to deliver personalized experiences to our data and platform users to drive productivity and innovation. You will be the driving force to experiment, innovate and create next‑generation experiences powered by the latest emerging ML technologies.

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, stays current on state‑of‑the‑art methods, and seeks 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 using open‑source tools and cloud platforms.
• Statistically‑minded – has built, validated, and back‑tested models; can interpret confusion matrices, ROC curves, and is experienced with clustering, classification, sentiment analysis, time series, and deep learning.
• Data guru – “big data” doesn’t faze you; you can retrieve, combine, and analyze data from a variety of sources and structures, recognizing that understanding the data is often the key to great data science.

Basic Qualifications

• Degree (or in‑process) in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) with:
  • Bachelor’s + 5 years of data‑analytics experience, or
  • Master’s (or MBA with quantitative concentration) + 3 years of data‑analytics experience, or
  • PhD + required experience as above.

Preferred Qualifications

• Master’s degree in a STEM field (Science, Technology, Engineering, or Mathematics) 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 and SQL.
• At least 3 years of experience with deep‑learning frameworks.
• At least 3 years of experience with natural language processing.

Pay

McLean, VA: $161,800 – $184,600 for Principal Associate, Data Science
New York, NY: $176,500 – $201,400 for Principal Associate, Data Science
San Jose, CA: $176,500 – $201,400 for Principal Associate, Data Science
Candidates hired in other locations will receive the pay range associated with that location. This 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 your total well‑being. Eligibility varies based on full‑ or part‑time status, exempt or non‑exempt status, and management level.