Lead Data Scientist - Natural Language Processing

Capital One

United States

United States

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About

Join Our Team as a Lead Data Scientist Specializing in Natural Language Processing! At Capital One, we believe that data is crucial to transforming the financial lives of everyday people. Our journey began by revolutionizing the credit card industry through personalized offers using advanced statistical methods. Today, as a Fortune 200 leader, we continue to leverage groundbreaking AI and machine learning technologies across billions of customer records. About the Team The AI Foundations Specialist Models Data Science team is at the forefront of creating innovative, scalable AI and ML solutions for the Capital One mobile app. Partnering with product and engineering teams, we aim to craft remarkable customer experiences, including interactions with our digital assistant, Eno. In this role, you will pioneer the next generation of experiences fueled by cutting-edge generative AI technologies. Your Role Will Involve: Collaborating with a diverse team of data scientists, software engineers, machine learning engineers, and product managers to develop AI-driven products that redefine customer engagement with their finances. Utilizing a wide array of technologies—including Pytorch, AWS Ultraclusters, Hugging Face, and LangChain—to uncover insights from vast datasets. Becoming the go-to expert in NLP, focusing on the power of Large Language Models (LLMs) and their adaptation for customer-centric features. Managing the entire lifecycle of machine learning and NLP models, from initial design and training to evaluation and deployment, working closely with engineering teams to ensure scalability and resilience. Using your interpersonal skills to effectively communicate complex technical concepts in ways that align with business objectives. The Ideal Candidate will be: Customer-Centric: Passionate about engaging in processes that prioritize customer needs and societal benefit. Innovative: Continuously exploring emerging technologies, with a keen eye for applying the latest methods in practical scenarios. Creative: Thriving on tackling large challenges, asking provocative questions, and developing inventive solutions. A Leader: Committed to challenging conventional wisdom and fostering talent development within your team and beyond. Technical: Proficient in advanced machine learning and deep learning technology, especially in working with LLMs and open-source tools. Influential: Eager to advocate for AI/ML initiatives and adept at communicating findings to non-technical stakeholders. Experienced: Demonstrated expertise in training large models, particularly in specialized areas like reinforcement learning and self-supervised learning. Engineering-Oriented: Proven track record in deploying models at scale with experience in creating libraries or solutions that enhance existing products. Basic Qualifications: A Bachelor's Degree in a quantitative field (Statistics, Economics, Computer Science, etc.) along with 5 years of experience in data analytics. A Master's Degree in a quantitative discipline or an MBA with a quantitative focus and 3 years of relevant experience. A PhD in a quantitative field. Preferred Qualifications: A Master's Degree or PhD in a STEM field. Demonstrated experience in Information Retrieval, Recommender Systems, and Reinforcement Learning. Experience in developing GenAI applications. Proficiency with PyTorch or TensorFlow for at least 3 years. A minimum of 1 year working within AWS environments. This role is based in McLean, VA, and is open for candidates who align with our mission of transforming financial experiences through data-driven solutions. We offer competitive salaries and a comprehensive benefits package that promotes inclusive wellbeing for all employees.

United States

Languages

English

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