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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 database technology in 1988, and now have become a Fortune 200 leader in 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 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.
Team Description The Fraud Data Science team builds machine learning models that protect our customers and Capital One against fraudsters. We prevent fraud at many steps of a customer journey, from application to spending and payments, using real‑time models, while automating and innovating to improve customer experience.
Role Description In this role, you will:
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
Use interpersonal skills to translate complex work into tangible business goals
The Ideal Candidate is:
Customer first: loves analysis and creation, shares passion for making the right decision for customers
Innovative: continually researches and evaluates emerging technologies, stays current on state‑of‑the‑art methods, and seeks opportunities to apply them
Creative: thrives on bringing definition to big, undefined problems, loves asking questions and pushing hard to find answers, and is not afraid to share new ideas
A leader: challenges conventional thinking, works with stakeholders to identify and improve the status quo, and is passionate about talent development for own team and beyond
Technical: comfortable with open‑source languages, passionate about developing further, has hands‑on experience with open‑source data science solutions and cloud platforms
Statistically‑minded: built models, validated them, and backtested them; understands confusion matrices, ROC curves, clustering, classification, sentiment analysis, time series, and deep learning
A data guru: “big data” doesn’t faze them; skilled at retrieving, combining, and analyzing data from diverse sources and structures, knowing that understanding data is key to great science
Basic Qualifications
Currently holds, or is in the process of obtaining one of the following with expected completion on or before start date:
Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field) plus 6 years of experience performing data analytics
Master’s Degree in a quantitative field or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
PhD in a quantitative field plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open‑source programming languages for large‑scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases
Preferred Qualifications
PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
At least 1 year of experience working with AWS
At least 4 years of experience in Python, Scala, or R for large‑scale data analysis
At least 4 years of experience with machine learning
At least 4 years of experience with SQL
Salary and Benefits Chicago, IL: $175,800 – $200,700
McLean, VA: $193,400 – $220,700
New York, NY: $211,000 – $240,800
Richmond, VA: $175,800 – $200,700
Performance‑based incentive compensation is also available.
Capital One offers comprehensive, competitive, and inclusive health, financial, and other benefits that support total well‑being.
Capital One is an equal‑opportunity employer (EOE, including disability/veteran) committed to non‑discrimination under applicable federal, state, and local laws. Capital One promotes a drug‑free workplace and considers qualified applicants with criminal histories in accordance with applicable laws.
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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 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.
Team Description The Fraud Data Science team builds machine learning models that protect our customers and Capital One against fraudsters. We prevent fraud at many steps of a customer journey, from application to spending and payments, using real‑time models, while automating and innovating to improve customer experience.
Role Description In this role, you will:
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
Use interpersonal skills to translate complex work into tangible business goals
The Ideal Candidate is:
Customer first: loves analysis and creation, shares passion for making the right decision for customers
Innovative: continually researches and evaluates emerging technologies, stays current on state‑of‑the‑art methods, and seeks opportunities to apply them
Creative: thrives on bringing definition to big, undefined problems, loves asking questions and pushing hard to find answers, and is not afraid to share new ideas
A leader: challenges conventional thinking, works with stakeholders to identify and improve the status quo, and is passionate about talent development for own team and beyond
Technical: comfortable with open‑source languages, passionate about developing further, has hands‑on experience with open‑source data science solutions and cloud platforms
Statistically‑minded: built models, validated them, and backtested them; understands confusion matrices, ROC curves, clustering, classification, sentiment analysis, time series, and deep learning
A data guru: “big data” doesn’t faze them; skilled at retrieving, combining, and analyzing data from diverse sources and structures, knowing that understanding data is key to great science
Basic Qualifications
Currently holds, or is in the process of obtaining one of the following with expected completion on or before start date:
Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related field) plus 6 years of experience performing data analytics
Master’s Degree in a quantitative field or an MBA with a quantitative concentration plus 4 years of experience performing data analytics
PhD in a quantitative field plus 1 year of experience performing data analytics
At least 1 year of experience leveraging open‑source programming languages for large‑scale data analysis
At least 1 year of experience working with machine learning
At least 1 year of experience utilizing relational databases
Preferred Qualifications
PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics
At least 1 year of experience working with AWS
At least 4 years of experience in Python, Scala, or R for large‑scale data analysis
At least 4 years of experience with machine learning
At least 4 years of experience with SQL
Salary and Benefits Chicago, IL: $175,800 – $200,700
McLean, VA: $193,400 – $220,700
New York, NY: $211,000 – $240,800
Richmond, VA: $175,800 – $200,700
Performance‑based incentive compensation is also available.
Capital One offers comprehensive, competitive, and inclusive health, financial, and other benefits that support total well‑being.
Capital One is an equal‑opportunity employer (EOE, including disability/veteran) committed to non‑discrimination under applicable federal, state, and local laws. Capital One promotes a drug‑free workplace and considers qualified applicants with criminal histories in accordance with applicable laws.
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