Manager, Data Scientist - Innovation Hub

Requirements

• 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:
• 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
• 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
• Master's Degree in a STEM field plus 3 years of experience in data analytics, or PhD in a STEM field
• At least 3 years of experience in Python
• At least 3 years of experience with machine learning
• At least 1 year of experience working with AWS, including Amazon Bedrock
• Experience designing or deploying generative AI or large language model (LLM) based applications
• Experience working across multiple business domains or in a cross-functional, project-based environment
• Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
• McLean, VA: $197,300 - $225,100 for Mgr, Data Science
• Candidates hi

Additional Information

Manager, Data Scientist - Innovation Hub Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Innovation Hub team partners with business teams across the organization to design and deliver AI-driven solutions to their most pressing challenges. When teams hit a wall or see an opportunity, they turn to Innovation Hub to engineer the path forward. Our work centers on designing and deploying generative AI applications and AI-powered capabilities that drive real business value. We also champion AI best practices and standards across the enterprise. If you thrive at the intersection of technology and business impact and want variety in your work, this is the team for you. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, 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 The Ideal Candidate is: 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. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. 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.

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