Capital One National Association
Prnicipal Data Scientist - Recommender Systems
Capital One National Association, New York, New York, us, 10261
Overview
Principal Data Scientist - Recommender Systems. Data is at the center of everything we do. As a startup, we disrupted the credit card industry by personalizing offers using statistical modeling and relational databases, and this data-driven approach has continued to scale. As a Data Scientist at Capital One, you’ll be part of a team delivering AI-powered products at a large scale, working with billions of customer records to help everyday people save money, time, and effort in their financial lives. Team Description AI Foundations Specialist Models Data Science builds scalable AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver features that delight customers with dynamic and personalized experiences, enable chat with Capital One’s digital assistant Eno, or search for useful contents. You will drive experimentation, innovation, and next-generation experiences powered by emerging generative AI technologies. Responsibilities
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
Leverage a broad stack of technologies — PyTorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal insights from large volumes of numeric and textual data.
Serve as the NLP expert to harness the power of Large Language Models (LLMs), adapt and finetune them for customer-facing applications and features.
Build ML and NLP models through all development phases, from design through training, evaluation, and validation; partner with engineering teams to operationalize them in scalable, resilient production systems serving 80+ million customers.
Translate complex work into tangible business goals using strong interpersonal communication.
The Ideal Candidate is
Customer first. You analyze and create with the goal of making the right decision for customers.
Innovative. You research and apply emerging technologies and state-of-the-art methods.
Creative. You enjoy defining big problems, asking questions, and sharing new ideas.
A leader. You challenge the status quo and support talent development for your team and beyond.
Technical. You’re proficient with advanced ML/DL technologies including language models and open-source tools on cloud platforms.
Influential. You communicate findings clearly to non-technical audiences and lead cross-functional efforts.
Experienced in training language models or large vision models, with expertise in areas such as training optimization, self-supervised learning, explainability, or RLHF.
Engineering-minded. You have a track record delivering models at scale and providing libraries or platforms to product teams.
Basic Qualifications
Currently has, or is pursuing, one of the following degrees with the expectation to obtain it by the scheduled start date:
Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 5 years of data analytics experience
Master’s Degree in a quantitative field or MBA with quantitative concentration plus 3 years of data analytics experience
PhD in a quantitative field
Preferred Qualifications
Master’s or PhD in STEM fields; 3 years of data analytics experience
Specialized experience in Information Retrieval, Recommender Systems, and Reinforcement Learning
Specialized experience in GenAI application development
At least 3 years of experience with PyTorch/TensorFlow
At least 3 years of experience with machine learning
At least 1 year of experience with AWS
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Compensation and Benefits
The salary range varies by location and is listed per location in the posting. This role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One offers a comprehensive benefits package. Eligibility varies by status and role. Capital One is an equal opportunity employer (EOE) committed to non-discrimination in compliance with applicable laws. We provide reasonable accommodations and support through the recruiting process. If you require accommodations, please contact Capital One Recruiting.
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Principal Data Scientist - Recommender Systems. Data is at the center of everything we do. As a startup, we disrupted the credit card industry by personalizing offers using statistical modeling and relational databases, and this data-driven approach has continued to scale. As a Data Scientist at Capital One, you’ll be part of a team delivering AI-powered products at a large scale, working with billions of customer records to help everyday people save money, time, and effort in their financial lives. Team Description AI Foundations Specialist Models Data Science builds scalable AI/ML solutions for Capital One’s award-winning mobile app. We partner with product, tech and design teams to deliver features that delight customers with dynamic and personalized experiences, enable chat with Capital One’s digital assistant Eno, or search for useful contents. You will drive experimentation, innovation, and next-generation experiences powered by emerging generative AI technologies. Responsibilities
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.
Leverage a broad stack of technologies — PyTorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more — to reveal insights from large volumes of numeric and textual data.
Serve as the NLP expert to harness the power of Large Language Models (LLMs), adapt and finetune them for customer-facing applications and features.
Build ML and NLP models through all development phases, from design through training, evaluation, and validation; partner with engineering teams to operationalize them in scalable, resilient production systems serving 80+ million customers.
Translate complex work into tangible business goals using strong interpersonal communication.
The Ideal Candidate is
Customer first. You analyze and create with the goal of making the right decision for customers.
Innovative. You research and apply emerging technologies and state-of-the-art methods.
Creative. You enjoy defining big problems, asking questions, and sharing new ideas.
A leader. You challenge the status quo and support talent development for your team and beyond.
Technical. You’re proficient with advanced ML/DL technologies including language models and open-source tools on cloud platforms.
Influential. You communicate findings clearly to non-technical audiences and lead cross-functional efforts.
Experienced in training language models or large vision models, with expertise in areas such as training optimization, self-supervised learning, explainability, or RLHF.
Engineering-minded. You have a track record delivering models at scale and providing libraries or platforms to product teams.
Basic Qualifications
Currently has, or is pursuing, one of the following degrees with the expectation to obtain it by the scheduled start date:
Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 5 years of data analytics experience
Master’s Degree in a quantitative field or MBA with quantitative concentration plus 3 years of data analytics experience
PhD in a quantitative field
Preferred Qualifications
Master’s or PhD in STEM fields; 3 years of data analytics experience
Specialized experience in Information Retrieval, Recommender Systems, and Reinforcement Learning
Specialized experience in GenAI application development
At least 3 years of experience with PyTorch/TensorFlow
At least 3 years of experience with machine learning
At least 1 year of experience with AWS
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Compensation and Benefits
The salary range varies by location and is listed per location in the posting. This role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One offers a comprehensive benefits package. Eligibility varies by status and role. Capital One is an equal opportunity employer (EOE) committed to non-discrimination in compliance with applicable laws. We provide reasonable accommodations and support through the recruiting process. If you require accommodations, please contact Capital One Recruiting.
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