Senior Manager, Data Science - AI Foundations

Capital One • McLean, NY

2d • $229,900 - $286,200

About The Position

Capital One’s Data Science team builds and ships scalable AI/ML architecture and solutions for its mobile app. The team partners with product, technology, and design groups to deliver dynamic, personalized customer experiences, including features that support the digital assistant Eno and content search. This role will lead experimentation and innovation with emerging generative AI technologies and help create next-generation customer experiences.

The Senior Manager will partner with data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products. The role applies tools and technologies such as PyTorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, and vector databases to analyze large volumes of numeric and textual data. It requires expertise in NLP and LLMs, including adapting and fine-tuning models for customer-facing applications.

The position develops machine learning and NLP models throughout the development lifecycle—from design, training, evaluation, and validation—and collaborates with engineering teams to deploy them in scalable, resilient production systems serving more than 80 million customers. The role also translates technical work into business goals and provides leadership in talent development and cross-functional innovation.

Requirements

• Bachelor’s degree in a quantitative field plus 7 years of experience performing data analytics, or a master’s degree in a quantitative field or an MBA with a quantitative concentration plus 5 years of data analytics experience, or a PhD in a quantitative field plus 2 years of data analytics experience.
• At least 2 years of experience leveraging open-source programming languages for large-scale data analysis.
• At least 2 years of experience working with machine learning.
• At least 2 years of experience using relational databases.
• Hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.
• Experience training language models or large computer vision models, with expertise in one or more areas such as training optimization, self-supervised learning, explainability, or RLHF.
• Engineering mindset and a track record of delivering models at scale in training-data and inference volumes.
• Experience delivering libraries, platforms, or solution-level code to existing products.
• Ability to communicate clearly and effectively and influence cross-functional teams.

Nice To Haves

• PhD in a STEM field (Science, Technology, Engineering, or Mathematics).
• Experience working with AWS.
• At least 5 years of experience with Python, Scala, or R.
• At least 5 years of experience with machine learning.
• At least 5 years of experience with SQL.

Responsibilities

• Partner with data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products.
• Use relevant technologies and tools to uncover insights from large volumes of numeric and textual data.
• Apply NLP expertise and adapt and fine-tune LLMs for customer-facing applications and features.
• Build machine learning and NLP models through design, training, evaluation, and validation.
• Partner with engineering teams to operationalize models in scalable, resilient production systems.
• Translate technical work and findings into tangible business goals for stakeholders, including non-technical audiences.
• Research and evaluate emerging technologies and identify opportunities to apply state-of-the-art methods.
• Challenge conventional thinking, improve existing approaches, and contribute to talent development across teams.

Benefits

• Comprehensive health, financial, and other benefits supporting total well-being.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior