Capital One
Overview
Senior Manager, Data Science - AI Foundations Data 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 innovation and our passion for data has helped Capital One become a Fortune 200 company and a leader in data-driven decision-making. As a Data Scientist at Capital One, you\'ll be part of a team that is leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies to operate across billions of customer records and unlock opportunities that help everyday people save money, time and reduce effort in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state-of-the-art scalable architecture and AI/ML solutions for Capital One\'s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One\'s digital assistant Eno, or search for useful contents. You will drive experimentation, innovation and the creation of next-generation experiences powered by the latest 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 hidden within large volumes of numeric and textual data. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer-facing applications and features. Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partner with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. Translate complex work into tangible business goals using strong interpersonal communication. The Ideal Candidate is
Customer first. You focus on analyzing and creating while doing the right thing for customers. Innovative. You continually research and evaluate emerging technologies and stay current on state-of-the-art methods and applications. Creative. You thrive on defining undefined problems and sharing new ideas. A leader. You challenge conventional thinking and contribute to talent development. Technical. You are comfortable with advanced ML/DL technologies, including language models, and have hands-on experience with LLMs and open-source tools and cloud platforms. Influential. You can lead cross-functional teams in breakthrough innovations and communicate findings to non-technical audiences. Experienced in training language models or large computer vision models with expertise in subdomains such as training optimization, self-supervised learning, explainability, or RLHF. Engineering-minded, with a track record of delivering models at scale and contributing libraries, platforms, or solution-level code to products. Basic Qualifications
Currently has, or is in the process of obtaining, one of the following with the expectation that the degree will be obtained by start date: A Bachelor\'s Degree in a quantitative field plus 7 years of experience performing data analytics A Master\'s Degree in a quantitative field or an MBA with a quantitative concentration plus 5 years of experience performing data analytics A PhD in a quantitative field plus 2 years of experience performing data analytics 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 utilizing relational databases Preferred Qualifications
PhD in STEM field Experience working with AWS At least 5 years\' experience in Python, Scala, or R At least 5 years\' experience with machine learning At least 5 years\' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries shown are for candidates hired to work in the listed locations; actual offer amounts will be in the offer letter. Salaries for part-time roles will be prorated based on hours. McLean, VA: $225,400 - $257,200 for Sr Mgr, Data Science New York, NY: $245,900 - $280,600 for Sr Mgr, Data Science San Jose, CA: $245,900 - $280,600 for Sr Mgr, Data Science Candidates hired in other locations will be paid according to the applicable location\'s range. This role is eligible for performance-based incentives, which may include cash bonuses and long-term incentives. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits. Learn more at the Capital One Careers website. Eligibility varies by status. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) and maintains a drug-free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with applicable laws. If you require accommodation during the application process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com Capital One does not provide, endorse nor guarantee third-party products or information available through this site. Capital One Financial is made up of several entities. Positions posted in Canada/UK/Philippines are for respective Capital One entities.
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Senior Manager, Data Science - AI Foundations Data 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 innovation and our passion for data has helped Capital One become a Fortune 200 company and a leader in data-driven decision-making. As a Data Scientist at Capital One, you\'ll be part of a team that is leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies to operate across billions of customer records and unlock opportunities that help everyday people save money, time and reduce effort in their financial lives. Team Description AI Foundations Specialist Models Data Science team builds and ships state-of-the-art scalable architecture and AI/ML solutions for Capital One\'s award-winning mobile app. We partner with product, tech and design teams to deliver app features that delight customers with dynamic and personalized experiences, enable them to chat with Capital One\'s digital assistant Eno, or search for useful contents. You will drive experimentation, innovation and the creation of next-generation experiences powered by the latest 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 hidden within large volumes of numeric and textual data. Be the expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer-facing applications and features. Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation; partner with engineering teams to operationalize them in scalable and resilient production systems that serve 80+ million customers. Translate complex work into tangible business goals using strong interpersonal communication. The Ideal Candidate is
Customer first. You focus on analyzing and creating while doing the right thing for customers. Innovative. You continually research and evaluate emerging technologies and stay current on state-of-the-art methods and applications. Creative. You thrive on defining undefined problems and sharing new ideas. A leader. You challenge conventional thinking and contribute to talent development. Technical. You are comfortable with advanced ML/DL technologies, including language models, and have hands-on experience with LLMs and open-source tools and cloud platforms. Influential. You can lead cross-functional teams in breakthrough innovations and communicate findings to non-technical audiences. Experienced in training language models or large computer vision models with expertise in subdomains such as training optimization, self-supervised learning, explainability, or RLHF. Engineering-minded, with a track record of delivering models at scale and contributing libraries, platforms, or solution-level code to products. Basic Qualifications
Currently has, or is in the process of obtaining, one of the following with the expectation that the degree will be obtained by start date: A Bachelor\'s Degree in a quantitative field plus 7 years of experience performing data analytics A Master\'s Degree in a quantitative field or an MBA with a quantitative concentration plus 5 years of experience performing data analytics A PhD in a quantitative field plus 2 years of experience performing data analytics 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 utilizing relational databases Preferred Qualifications
PhD in STEM field Experience working with AWS At least 5 years\' experience in Python, Scala, or R At least 5 years\' experience with machine learning At least 5 years\' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Salaries shown are for candidates hired to work in the listed locations; actual offer amounts will be in the offer letter. Salaries for part-time roles will be prorated based on hours. McLean, VA: $225,400 - $257,200 for Sr Mgr, Data Science New York, NY: $245,900 - $280,600 for Sr Mgr, Data Science San Jose, CA: $245,900 - $280,600 for Sr Mgr, Data Science Candidates hired in other locations will be paid according to the applicable location\'s range. This role is eligible for performance-based incentives, which may include cash bonuses and long-term incentives. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits. Learn more at the Capital One Careers website. Eligibility varies by status. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) and maintains a drug-free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with applicable laws. If you require accommodation during the application process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com Capital One does not provide, endorse nor guarantee third-party products or information available through this site. Capital One Financial is made up of several entities. Positions posted in Canada/UK/Philippines are for respective Capital One entities.
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