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About the Role

As a Data Scientist at Capital One, you will be part of a team that’s leading the next wave of disruption, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock opportunities that help everyday people save money, time and agony in their financial lives. The US Card Data Science organization leverages massive customer data to drive business strategy and deliver world-class customer experiences. Our team builds and deploys sophisticated data science and machine learning models across the entire credit card lifecycle—including marketing, acquisitions, underwriting, and fraud prevention. In this role, you will turn complex insights into real-world impact, shaping financial products that serve and protect millions of cardholders daily.

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 the 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
Flex interpersonal skills to translate the complexity of work into tangible business goals

Requirements

Customer first mindset, with a passion for doing the right thing for customers
Innovative approach, continually researching and evaluating emerging technologies and seeking opportunities to apply them
Creative problem-solver, thriving on bringing definition to big, undefined problems
Leadership qualities, challenging conventional thinking and working with stakeholders to improve the status quo
Comfortable with open-source languages and passionate about developing further
Hands-on experience developing data science solutions using open-source tools and cloud computing platforms
Statistically-minded with experience building, validating, and backtesting models
Experience interpreting confusion matrices or ROC curves
Experience with clustering, classification, sentiment analysis, time series, and deep learning
Ability to retrieve, combine, and analyze data from a variety of sources and structures
Currently has, or is in the process of obtaining a Bachelor’s Degree in a quantitative field plus 5 years of experience performing data analytics
Currently has, or is in the process of obtaining a Master’s Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
Currently has, or is in the process of obtaining a PhD in a quantitative field
Master’s Degree in “STEM” field plus 3 years of experience in data analytics, or PhD in “STEM” field
At least 1 year of experience working with AWS
At least 3 years’ experience in Python, Scala, or R
At least 3 years’ experience with machine learning
At least 3 years’ experience with SQL

Skills

Python
Conda
AWS
H2O
Spark
Machine Learning
SQL
Data Analytics
Clustering
Classification
Sentiment Analysis
Time Series
Deep Learning

Location

McLean, VA
New York, NY

Work Type

Full-time

Experience Level

Principal
Associate

Education Level

Bachelor's Degree
Master's Degree
PhD
MBA

Salary/Compensations

McLean, VA: $161,800 - $184,600
New York, NY: $176,500 - $201,400

Benefits

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

About the Company

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.

Equal Opportunity

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
Capital One promotes a drug-free workplace.
Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.