Director, Data Scientist - Apollo/Card DataData 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 Apollo (part of Card DMDC) is Capital One's one stop shop for authoritative, 360 degree information on US businesses. We are on a mission to build a market leading, business critical Business Data Product and Platform that gives our customers a competitive advantage through information. Our customers rely on Apollo's data and capabilities to market, sell, verify, underwrite, serve, and protect business customers, often in real-time intelligent ways.Business data is a complex, multi-billion dollar problem that is poorly served by legacy providers. We are tackling this critical opportunity by acquiring and processing massive amounts of data, leveraging cutting-edge ML/AI to resolve identity and predict valuable features and architecting interfaces that allow our users to seamlessly integrate Apollo into their workflows Data Science is at the heart of Apollo and this role will have an opportunity to shape the next generation of capabilities. Role Description In this role, you will: - Lead a team of data scientists and collaborate with machine learning engineers, data engineers, business analysts and product managers to deliver product(s) customers love.- Lead machine learning and data science technical direction and execution (operations, governance, processes and practice) working closely with product management to craft a roadmap and success criterion.- Lean on your deep technical background in graph-based machine learning, deep learning, software engineering and algorithm development to organize, grow and manage the ML/AI capabilities for the product.- Flex your interpersonal skills to translate the complexity of your work into tangible business goals *The Ideal Candidate is: - Technical Innovator. You have a strong background in ML/AI and engineering practices with experience in Entity Resolution, Information Retrieval, Graph-based ML, LLM/Embeddings or Deep Learning. You have hands-on experience developing effective data science solutions, while pushing the envelope with state-of-the-art techniques.- Customer-back. Product mindset. You are deeply curious about customer needs and bring a product mindset to drive business results, integrating ML/AI design, engineering and execution. You identify high-leverage efforts and the necessary trade-offs to shape a roadmap that balances transformative innovation with time-to-value and pragmatism.- Empathetic People Leader. You establish a culture of inclusiveness, cooperation and candor. You're passionate about talent development, provide frequent actionable feedback to team members, and promote innovation- Strategic Thinker and Communicator. You love asking questions and pushing hard for answers. You challenge conventional thinking and work with stakeholders to identify and improve the status quo by bringing clarity to big, undefined problems.You set the team vision, and inspire your team and peers to execute towards it. Basic Qualifications: - 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 De
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