Job Description

The Personalization team in AI Foundations builds and ships state of the art scalable architecture, 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. You will be the driving force to experiment, innovate and create next generation experiences powered by the latest emerging AI/ML technologies. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, product managers, and designers to deliver AI powered products that customers love. Leverage a broad stack of technologies — PyTorch, Keras, TensorFlow, Scikit-learn, transformers, and more — to reveal the insights hidden within huge volumes of numeric and textual data. Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: 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. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications in the area of deep learning, natural language processing and recommendation & personalization and seek out opportunities to apply them. 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. With an engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code to existing products. 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. Basic Qualifications: Currently has, or is in the process of obtaining a Bachelor’s Degree plus 7 years of experience in data analytics, or currently has, or is in the process of obtaining a Master’s Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining PhD plus 2 years of experience in data analytics, with an expectation that required degree will be obtained on or before the scheduled start date. At least 3 years’ experience in open source programming languages for large scale data analysis. At least 3 years’ experience with machine learning. At least 3 years’ experience with relational databases. Preferred Qualifications: PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics. At least 1 year of experience working with AWS. At least 1 year of experience managing people. At least 5 years’ experience in Python, Scala, or R for large scale data analysis. At least 5 years’ experience with machine learning. 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: New York City (Hybrid On-Site): $234,700 - $267,900 for Sr Mgr, Data Science. San Francisco, California (Hybrid On-site): $248,700 - $283,800 for Sr Mgr Data Science. 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. This 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. 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. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com. #J-18808-Ljbffr Karkidi

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