Hiring: Principal Associate, Data Scientist - Card Finance Innovation Team Company: Capital One Location: McLean, VA Job Posted Time: 2026-09-16 18:02:50 Employment Type: Full-time Target Skills & Keywords : AWS, Conda, Deep Learning, Elasticsearch, Machine Learning, Python, SQL, Scala, Snowflake, Spark About the job Experience: •5 years of experience performing data analytics •3 years of experience performing data analytics •3 years of experience in Python, Scala, or R •3 years of experience with machine learning •3 years of experience with SQL Required Skills: •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 your interpersonal skills to translate the complexity of your work into tangible business goals •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 it’s 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. You’re not afraid to share a new idea. •Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. •Statistically-minded. You’ve 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. Qualifications: •A Bachelor's 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 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 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) •Master’s 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 1 year of experience working with AWS •Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. •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 candidate’s 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 the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. Compensation: •$161,800 - $184,600 / year •This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!