Principal Data Scientist

* **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. 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.*** **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*** **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. #J-18808-Ljbffr