Capital One
Financial Services
Manager,DataScientist-InnovationHub
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optimal for Manager candidates.
“Manager, Data Scientist - Innovation Hub at Capital One. Skills: Data Science, Machine Learning, AI, Generative AI. Deliver a product customers love. Leverage technologies to reveal insights”
What You'll Achieve.
Drive real business value
Industry & Context.
Define big problems; Find answers
What They're Looking For.
Must Have
Bachelor's Degree in quantitative field plus 6 years of experience, Master's Degree in quantitative field or MBA with quantitative concentration plus 4 years of experience, PhD in quantitative field plus 1 year of experience, 1 year of experience leveraging open source programming languages, 1 year of experience working with machine learning, 1 year of experience utilizing relational databases
Nice to Have
Master's Degree in STEM plus 3 years of experience, PhD in STEM plus 3 years of experience, 3 years of experience in Python, 3 years of experience with machine learning, 1 year of experience working with AWS, Experience designing or deploying generative AI applications, Experience designing or deploying large language model applications, Experience working across multiple business domains, Experience in a cross-functional project-based environment
What You'll Do.
Deliver a product customers love
Leverage technologies to reveal insights
Build machine learning models
Design machine learning models
Train machine learning models
Evaluate machine learning models
Validate machine learning models
Implement machine learning models
Translate complexity into business goals
Design AI-driven solutions
Deliver AI-driven solutions
Champion AI best practices
Champion AI standards
How You'll Work.
Team & Collaboration
Cross-functional team; Business teams; Stakeholders
Communication Scope
Interpersonal skills
Full Job Description
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 busines
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