Principal Data Scientist, Customer Protection Agentic Claims Data Science

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 youll be part of a team thats 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.

Team Description

TheBank Customer Protection Debit & Claims Data Scienceteam builds the machine learning models that help our customersspend safely and get back on track if an issue does occur with their payments. We are constantly looking for ways to get ahead of fraudulent actors and scams before they have a negative impact on customers by analyzing historical transaction activity account usage merchant patterns and other data for signals that something is amiss. We use a variety of techniques including representation learning and gradient boosting machines to build purpose-built models that power our real-time decision systems. This role will bring these and other methodologies to bear to take our claims processing systems to the next level to get faster smoother resolutions for our customers.

Role Description

In this role you will:

• Partner with a cross-functional team of data scientists analysts 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 your interpersonal skills to translate the complexity of your work into tangible business goals

The Ideal Candidate is:

• Customer first. You love the process of analyzing and creating but also share our passion to do the right thing. You know at the end of the day its about making the right decision for our customers.

• Creative. You thrive on bringing definition to big undefined problems. You love asking questions and pushing hard to find answers. Youre not afraid to share a new idea.

• Statistically-minded. Youve built models validated them and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering classification sentiment analysis time series and deep learning.

• A data guru. Big data doesnt faze you. You have the skills to retrieve combine and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.

Basic Qualifications:

• Currently has or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

  • A Bachelors Degree in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science or a related quantitative field) plus 5 years of experience performing data analytics

  • A Masters 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 3 years of experience performing data analytics

  • A PhD in a quantitative field (Statistics Economics Operations Research Analytics Mathematics Computer Science or a related quantitative field)

Preferred Qualifications:

• Masters Degree in STEM field (Science Technology Engineering or Mathematics) plus 3 years of experience in data analytics or PhD in STEM field (Science Technology Engineering or Mathematics)

• At least 3 years experience with machine learning for predictive tasks

• At least 3 years experience in Python

• At least 1 year of experience with SQL

• At least 1 year of experience working with AWS

• Experience coordinating data science projects in cross-functional teams

• Experience applying LLMs to solve real-world problems

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Candidates hired to work in other locations will be subject to the pay range associated with that location and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.

Capital One offers a comprehensive competitive and inclusive set of health financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status exempt or non-exempt status and management level.

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- or via email at . 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 Ones recruiting process please send an email to

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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).