Manager, Data Scientist

****Team Description-**In Capital One’s Model Risk Office, we defend the company against model failures and find new ways of making better decisions with models. We use our statistics, software engineering, and business expertise to drive the best outcomes in both Risk Management and the Enterprise. We understand that we can’t prepare for tomorrow by focusing on today, so we invest in the future: investing in new skills, building better tools, and maintaining a network of trusted partners. We learn from past mistakes, and develop increasingly powerful techniques to avoid their repetition.*** **Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models*** **Leverage a broad stack of technologies — Python, Conda, AWS, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data*** **Build machine learning models to challenge “champion models” that are deployed in production today*** **Contribute to the model governance framework for the next generation of machine learning models*** **Flex your interpersonal skills to present how model risks could impact the business to executives*** **Validate a wide variety of models across multiple business domains within our Enterprise Services devision*** **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, and you’re not afraid to learn about different aspects of Capital One’s businesses.*** **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 data guru. “Big data” doesn’t 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.*** **Currently has, or is in the process of obtaining a Bachelor’s Degree plus 6 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 4 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 1 year of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date*** **At least 2 years’ experience with machine learning*** **At least 2 years’ experience with relational databases*** **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 4 years’ experience in Python, Scala, or R for large scale data analysis*** **At least 4 years’ experience with machine learning*** **At least 4 years’ experience with SQL*** **At least 4 years’ experience building or validating models related to fraud detection, digital marketing, cybersecurity, or sensitive data detection.**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