Manager, Data Science

* **Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver an experience that helps us book more customers*** **Take a well-managed approach to building customer-facing decision products while also bolstering our defenses with governed vendor tools that fill a niche and complement our own models*** **Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation*** **Most critically, build connections with your partners to understand the fraud threats of today and tomorrow so you can devise a modeling roadmap that proxies fraud signal from our data, keeping the fraudsters out while making account opening a seamless experience for others*** **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 and deploying 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 and an AUPRC view. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.*** **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:*** **At least 1 year of experience leveraging open source programming languages for large scale data analysis*** **At least 1 year of experience working with machine learning*** **At least 1 year of experience utilizing relational databases*** **A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 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 4 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) plus 1 year of experience performing data analytics*** **PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics*** **At least 1 year of experience working with AWS*** **At least 5 years’ experience in Python, Scala, or R for large scale data analysis*** **At least 5 years’ experience with machine learning*** **At least 5 years’ experience with SQL*** **Previous experience with rare event prediction, especially fraud, for credit-like decisions strongly preferred**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