* Partner with a cross-functional team of data scientists, software engineers, business analysts, and product managers to deliver a product customers love * Leverage a broad stack of technologies Python, Snowflake, 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 * This role works directly with our Enterprise Payments team to streamline all payment/monetary transfer channels. This ranges from ingestion, through anomaly detection, and even operational streamlining with agentic processes. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * 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. * Technical. Youre 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. 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 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)* 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 1 year of experience working with AWS * At least 3 years experience in Python * At least 3 years experience with machine learning * At least 3 years experience with SQL * At least one agentic system personally built * At least one machine vision model personally built 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 . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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