Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Director, Data Scientist - Global Payment Network role.
Rezi rewrites your resume against Capital One's job description. Free.
Tailor your resume to this Director, Data Scientist - Global Payment Network role.
Rezi rewrites your resume against Capital One's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Director, Data Scientist - Global Payment Network posting at Capital One — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Director, Data Scientist - Global Payment Network posting at Capital One — free, in seconds.
About the Role
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 Global Payment Network Data Solutions and Modeling team builds the machine learning and AI agents to drive foundational, scalable intelligence capabilities that power smarter business decisions and unlock new value across the payments ecosystem. We create models and AI tools to support fraud/risk, merchant acceptance, merchant intelligence and monitoring.
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
- Currently have, or be in the process of obtaining a Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics
- Currently have, or be in the process of obtaining a Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics
- Currently have, or be in the process of obtaining a PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics
- At least 4 years of experience leveraging open source programming languages for large scale data analysis
- At least 4 years of experience working with machine learning
- At least 4 years of experience utilizing relational databases
- Extensive multi-project experience leading data science solutions within payments, financial services, or fintech sectors
- At least 1 year of experience working with AWS
- At least 3 year of experience managing people
- At least 5 years of experience in Python, Scala, or R for large scale data analysis
- At least 5 years of experience with machine learning
Skills
- Python
- Conda
- AWS
- H2O
- Spark
- Machine Learning
- Data Analytics
- Open Source Programming Languages
- Relational Databases
- Scala
- R
Location
- McLean, VA
- New York, NY
- Riverwoods, IL
- Chicago, IL
Work Type
- Full-time
Experience Level
- Director
- 9 years of experience
- 7 years of experience
- 4 years of experience
- 1 year of experience
- 3 years of experience
- 5 years of experience
Education Level
- Bachelor's Degree
- Master's Degree
- MBA with a quantitative concentration
- PHD
Salary/Compensations
- McLean, VA: $269,100 - $307,200
- New York, NY: $293,600 - $335,100
- Riverwoods, IL: $244,700 - $279,200
- Chicago, IL: $244,700 - $279,200
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
- Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
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.