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 the big opportunities that help everyday people save money, time and agony in their financial lives.
The Document Intelligence and Vision Engineering team is working to transform every corner of our business with machine learning. To accomplish this goal, we use the latest techniques in machine learning — deep learning, image processing, and computer vision — and combine them with real-time streaming data in the cloud to create best-in-class enterprise-scale ML products. We partner closely with our product and engineering teams to tackle a huge variety of business problems and work with vast quantities of data of every kind.
As part of the Document Intelligence and Vision Engineering team, you will:
Work on a wide variety of research problems and applied projects in the area of computer vision.
Join a research group that’s part of driving the next wave of disruption at a new scale, using the latest in distributed computing technologies and operating across billions of customer transactions to unlock the big opportunities that help everyday people save money, save time, and eliminate problems in their financial lives.
Work with cutting edge tools, such as TensorFlow, PyTorch, gRPC, Podman, and Kubernetes.
Use and contribute to state of the art methods, such as auto-encoders, deep networks, and classifiers. We do machine learning research and product development differently at Capital One.
Partner closely with Software Engineers, Product Managers, and business stakeholders to discover, invent, and build at the largest scale. Ideas may come from internal projects as well as from academic partnerships with world-class institutions.
Build state of the art vision and image processing capabilities in complex environments, building models and deriving insights from customer interactions and billions of existing images, and enabling products that help customers complete tasks.
Apply your expertise in image processing, analytics, and computer vision to inform a research group’s agenda and drive critical business outcomes. You stay connected to the wider research community as an active contributor.
The Ideal candidate will be:
Curious and creative. You thrive on bringing definition to big, undefined problems. You love asking questions, and you love pushing hard to find the answers. You’re not afraid to share a new idea. You communicate clearly and effectively to share your findings with non-technical audiences.
Technical: You have hands-on experience developing computer vision solutions from concept to production using open source tools and modern cloud computing platforms. You are not afraid of petabytes of data. Python is in your toolkit.
Scientifically-minded. You have built models, validated them and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with pre-processing, feature extraction, deep learning, object detection, image segmentation, clustering, classification, and experimental design.
Customer and product oriented. You share our passion for changing banking for good.
Bachelor’s Degree plus 2 years of experience in data analytics, or Master’s Degree, or PhD
At least 1 year of experience in open source programming languages for large scale data analysis
At least 1 year of experience with machine learning
At least 1 year of experience with relational databases
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
Experience working with AWS
At least 2 years’ experience in Python, Scala, or R
At least 2 years’ experience with machine learning
At least 2 years’ experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. 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.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Who We Are
At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.
Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.