Manager, Data Science - AI Foundations

Customer first.

You love the process of analyzing and creating, but also share our passion to do the right thing.

You know at the end of the day it’s about making the right decision for our customers.

Innovative.

You continually research and evaluate emerging technologies.

You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.

Creative.

You thrive on bringing definition to big, undefined problems.

You love asking questions and pushing hard to find answers.

You’re not afraid to share a new idea.

A leader.

You challenge conventional thinking and work with stakeholders to identify and improve the status quo.

You're passionate about talent development for your own team and beyond.

Technical.

You’re comfortable with advanced ML and DL technologies including language models and are passionate about developing further.

You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms.

Influential.

You are passionate about AI/ML and can bring along a cross functional team in breakthrough innovations.

You communicate clearly and effectively to share your findings with non-technical audiences.

You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF.

You have an engineering mindset as shown by a track record of delivering models at scale both in training data and inference volumes.

You have experience in delivering libraries, platforms, or solution level code to existing products.

Currently has, or is in the process of obtaining one of the following with 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 6 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 4 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 1 year of experience performing data analytics

At least 1 year of experience leveraging open source programming languages for large scale data analysis

At least 1 year of experience working with machine learning

At least 1 year of experience utilizing relational databases

PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)

working with AWS

At least 4 years’ experience in Python, Scala, or R

At least 4 years’ experience with machine learning

At least 4 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.

Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting.

Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Learn more at the Capital One Careers website.

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 RecruitingAccommodation@capitalone.com.

All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

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Capital One Financial is made up of several different entities.

Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).