Principal Data Scientist, Bank Customer Protection Debit & Claims
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 it9s 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. You9re not afraid to share a new idea.
Statistically-minded. You9ve 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. 2Big data2 doesn9t 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:
Preferred Qualifications:
Master9s Degree in 2STEM2 field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in 2STEM2 field (Science, Technology, Engineering, or Mathematics)
At least 3 years9 experience with machine learning for predictive tasks
At least 3 years9 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.
McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science
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 candidate9s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
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.
This role is expected to accept applications for a minimum of 5 business days.
