Capital One Senior Director Data Science - Customer Core Specialist Models 

United States, New York, New York 

696624296

In this role, you will:

• Lead a cross-functional team of data scientists, software engineers, machine learning engineers and work with product managers and Engineers to deliver AI powered products.

• Lead cutting-edge research and development in Generative AI (GenAI) to enhance our fraud detection, device trust and customer data models, including model architecture design, hyperparameter optimization, and evaluation metrics.

• Fine-tune advanced Large Language Models (LLMs) for domain-specific applications, inference optimization, and multi-agentic workflows, leveraging techniques like transfer learning, prompt engineering, curriculum learning, and reinforcement learning with human feedback (RLHF).

• Leverage a broad stack of technologies — Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more, for model development, deployment, and monitoring.

• Be the expert in Graph ML, and Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features, including entity recognition, sentiment analysis, and summarization.

• Drive innovation by designing, training, evaluating, and deploying state-of-the-art AI models, partnering with engineering teams to integrate them into scalable and resilient production systems with robust MLOps practices.

• Translate complex AI/ML research into tangible business outcomes, improving customer experience through real-time, intelligent digital assistance, by identifying key performance indicators (KPIs) and designing A/B tests to measure impact.

• Innovative.You are deeply engaged in AI/ML research and stay ahead of the curve on emerging GenAI advancements. You seek out opportunities to apply state-of-the-art methods to real-world problems, with a strong understanding of model limitations and ethical considerations.

• Creative.You excel at defining and solving complex, ambiguous problems, constantly questioning and pushing boundaries to develop novel solutions, and can translate business needs into technical requirements.

• A leader.You challenge conventional thinking, drive breakthroughs in conversational AI, and mentor teams to achieve innovation excellence, fostering a culture of continuous learning and experimentation.

• Technical.You have hands-on experience in AI/ML development, working with open-source tools, cloud computing platforms, and DevOps technologies. You are proficient in the state of the art AI systems, including model lifecycle management, data governance, and explainable AI (XAI).

• Influential.

Basic Qualifications:

• Currently has, or is in the process of obtainingone of the followingwith 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 11 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 9 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 6 years of experience performing data analytics

• At least 6 years of experience leveraging open source programming languages for large scale data analysis

• At least 6 years of experience working with machine learning

• At least 6 years of experience utilizing relational databases

Preferred Qualifications:

• PhD in Computer Engineering plus 10 years of relevant experience, prior publication/research experience referred

• At least 5 years of specialized experience in GenAI application development.

• At least 5 years of experience in LLM model training, evaluation, inference optimization and parallelization in GPU cluster

• At least 6 years of experience working with AWS or equivalent GPU Clusters

• At least 6 years of experience in PyTorch/Tensorflow

McLean, VA: $308,700 - $352,300 for Sr Dir, Data Science New York, NY: $336,700 - $384,200 for Sr Dir, Data Science San Jose, CA: $336,700 - $384,200 for Sr Dir, Data ScienceThis role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.