Manager, Data Scientist – Velocity Black (Remote-Eligible)

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* Customer first. You love the process of analyzing and creating, and you care about the user of the systems you create. You know at the end of the day it’s about providing tooling to support our agents and enhancements to delight our customers.* Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and brainstorming various technical methods and designs to find the best solutions. You’re not afraid to share a new idea.* A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo to advance us to the most cutting edge methods. You’re passionate about talent development for your own team and beyond.* Technical. You’re comfortable with all things model development, including from pulling together model input data from various sources to deciding on the appropriate methodology to helping to implement use cases within thoughtful architecture designs. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.* 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 one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:* At least 1 years 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)* Strong proficiency in Python and SQL for large scale data analysis* At least 1 year of experience preparing and transforming large, messy, or sparse datasets for modeling* At least 1 year of experience designing, training, and deploying large-scale models in production* At least 1 year of experience in model lifecycle management and ML ops practices (monitoring, feature stores, retraining, experimentation, and A/B testing)* At least 1 year of experience collaborating cross-functionally with product and engineering to translate business problems into ML solutions* Familiarity with sophisticated ML approaches to personalization models or recommendation systems* Demonstrated ability to influence stakeholders and lead technical strategyCapital 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

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