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  1. Home
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  5. Senior Manager, Data Scientist - US Card (Generative AI Systems)
Capital One logo

Senior Manager, Data Scientist - US Card (Generative AI Systems)

Not Disclosed•Full-TimeOn-site

location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

Apply Now

About the Company and Mission

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 relational databases in 1988. Fast-forward a few years, and this innovation and our passion for data have skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you will be part of a team leading the next wave of disruption at a whole new scale. We use the latest computing and machine learning technologies to operate across billions of customer records, unlocking opportunities that help everyday people save money, time, and stress in their financial lives.

About the Team

The Generative AI Systems (Genesis) team within Card Data Science builds state-of-the-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing, and time-series sequencing modeling. We partner with product, tech, and design teams to deliver internal applications that drive efficiency in our business and data analytics teams, as well as customer-facing applications that enhance the customer experience. You will work with a seasoned group of natural language processing (NLP), speech, and computer vision specialists, experimenting with emerging technologies in generative AI, delivering software implementing these technologies, and contributing research to major NLP and AI/ML conferences.

The Role and Culture

In this role, you will partner with a cross-functional team to deliver products customers love. You will leverage a broad stack of technologies to reveal insights hidden within huge volumes of numeric and textual data, building machine learning models through all phases of development from design through implementation. A key part of your success will be flexing your interpersonal skills to translate the complexity of your work into tangible business goals.

The ideal candidate is customer-first, passionate about doing the right thing for our customers. You are creative, thriving on bringing definition to big, undefined problems and pushing hard to find answers. As a leader, you challenge conventional thinking, work with stakeholders to improve the status quo, and are passionate about talent development for your own team and beyond. You are technically comfortable with open-source languages and cloud computing platforms, with a passion for developing further.

Hiring Process and Application

This role is expected to accept applications for a minimum of 5 business days. No agencies please. If you require an accommodation to apply, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

Equal Opportunity and Commitment

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. We promote a drug-free workplace and will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws. Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.

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Capital One logo

Manager, Data Science - AI Foundations

Capital One • New York, New York

Skills, education and keywords

Skills: Generative Ai, Statistical Modeling, Relational Database, Machine Learning, Natural Language Processing, Speech Recognition, Computer Vision, Time-Series Sequencing Modeling, Python, Kubernetes.

Education: Bachelor's Degree in a quantitative field required with 7 years experience; Master's Degree in a quantitative field or MBA with quantitative concentration required with 5 years experience; PhD in a quantitative field required with 2 years experience.

Frequently asked questions about Senior Manager, Data Scientist - US Card (Generative AI Systems) at Capital One

What does a Senior Manager, Data Scientist - US Card (Generative AI Systems) at Capital One do?expand_more
In this Senior Manager, Data Scientist - US Card (Generative AI Systems) at Capital One role, you will develop generative ai solutions for dialogue, text summarization, and image processing; translate complex technical work into tangible business goals for stakeholders; deliver internal and customer-facing applications to drive business efficiency; and build machine learning models through design, training, evaluation, validation, and implementation.
What are the requirements for this Senior Manager, Data Scientist - US Card (Generative AI Systems) role?expand_more
Capital One is looking for candidates who meet the following requirements: Bachelor's in quantitative field plus 7 years data analytics OR Master's/MBA plus 5 years OR PhD plus 2 years; 2+ years open source programming for large scale data analysis; 2+ years machine learning experience; 2+ years relational database experience; 1+ years AWS experience; and 1+ years people management experience.
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Work location

Work model: On-site

location_on

NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

New York, New York

Key Responsibilities

  • check_circleDevelop generative AI solutions for dialogue, text summarization, and image processing
  • check_circleTranslate complex technical work into tangible business goals for stakeholders
  • check_circleDeliver internal and customer-facing applications to drive business efficiency
  • check_circleBuild machine learning models through design, training, evaluation, validation, and implementation
  • check_circlePartner with cross-functional teams to deliver customer-focused data science products
  • check_circleUtilize Python, Kubernetes, AWS, and Spark to analyze large volumes of numeric and textual data
  • check_circleContribute research to major NLP and AI/ML conferences

Requirements

  • verifiedBachelor's in quantitative field plus 7 years data analytics OR Master's/MBA plus 5 years OR PhD plus 2 years
  • verified2+ years open source programming for large scale data analysis
  • verified2+ years machine learning experience
  • verified2+ years relational database experience
  • verified1+ years AWS experience
  • verified1+ years people management experience
  • verified5+ years Python, Scala, or R experience
  • verified5+ years machine learning experience
  • verifiedPhD in STEM plus 4 years data analytics

Nice to Have

PhD in a 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.

Benefits & Perks

check_circleComprehensive health, financial, and other benefits for total well-beingcheck_circlePerformance-based incentive compensation including cash bonuses and long-term incentives
Capital One logo
Company

Capital One

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

2+ yrs (Senior)

Education

Bachelor's Degree in a quantitative field required with 7 years experience

Job Type

Full-Time

Skills Required

Generative AiStatistical ModelingRelational DatabaseMachine LearningNatural Language ProcessingSpeech Recognition
$193k-241k
arrow_forward
Where is the Senior Manager, Data Scientist - US Card (Generative AI Systems) role at Capital One located?
expand_more
Senior Manager, Data Scientist - US Card (Generative AI Systems) at Capital One is based in NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States. This is a on-site role.
Is this Senior Manager, Data Scientist - US Card (Generative AI Systems) job remote, hybrid, or on-site?expand_more
Capital One has listed this Senior Manager, Data Scientist - US Card (Generative AI Systems) role as on-site.
How much experience is required for this Senior Manager, Data Scientist - US Card (Generative AI Systems) role?expand_more
Senior Manager, Data Scientist - US Card (Generative AI Systems) at Capital One typically requires 2+ years of relevant experience at the senior level.
What skills do you need for the Senior Manager, Data Scientist - US Card (Generative AI Systems) role at Capital One?expand_more
Key skills for Senior Manager, Data Scientist - US Card (Generative AI Systems) at Capital One include Generative Ai; Statistical Modeling; Relational Database; Machine Learning; Natural Language Processing; Speech Recognition; Computer Vision; and Time-Series Sequencing Modeling.
What education is required for Senior Manager, Data Scientist - US Card (Generative AI Systems) at Capital One?expand_more
Educational requirements for this role: Bachelor's Degree in a quantitative field required with 7 years experience; Master's Degree in a quantitative field or MBA with quantitative concentration required with 5 years experience; and PhD in a quantitative field required with 2 years experience.
What category does the Senior Manager, Data Scientist - US Card (Generative AI Systems) role belong to?expand_more
Senior Manager, Data Scientist - US Card (Generative AI Systems) at Capital One is part of the it job category on Recrutus.
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Computer Vision
Time-Series Sequencing Modeling
Python
Kubernetes