Manager, Data Science - AI Foundations
Not Disclosed•Full-TimeOn-site
location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
About the Company
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.
At Capital One, we are committed to being an equal opportunity employer, including disability and veteran status, and we promote a drug-free workplace. We consider qualified applicants with criminal history in a manner consistent with applicable laws and regulations.
Work location
Work model: On-site
NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
New York, New York
Key Responsibilities
- check_circleTranslate complex technical work into tangible business goals for stakeholders
- check_circleBuild and operationalize machine learning and NLP models for scalable production systems serving 80+ million customers
- check_circleAdapt and fine-tune Large Language Models for customer-facing applications and features
- check_circleLead experimentation and innovation to create next-generation experiences using generative AI
- check_circlePartner with cross-functional teams to deliver AI-powered products that transform customer financial interactions
- check_circleUtilize technologies like PyTorch, AWS, and Hugging Face to extract insights from large volumes of data
Requirements
- verifiedBachelor's in quantitative field plus 6 years data analytics OR Master's in quantitative field plus 4 years OR PhD in quantitative field plus 1 year
- verified1 year experience with open source programming languages for large scale data analysis
- verified1 year experience with machine learning
- verified1 year experience with relational databases
- verified4 years experience in Python, Scala, or R (preferred)
- verified4 years experience with machine learning (preferred)
- verified4 years experience with SQL (preferred)
- verifiedPhD in STEM field (preferred)
Nice to Have
PhD in a STEM field (Science, Technology, Engineering, or Mathematics). Experience working with AWS. At least 4 years of experience in Python, Scala, or R. At least 4 years of experience with machine learning. At least 4 years of experience with SQL.
Benefits & Perks
check_circleComprehensive health, financial, and other benefits for total well-beingcheck_circlePerformance-based incentive compensation including cash bonuses and long-term incentives
Similar Job Opportunities
Skills, education and keywords
Skills: Statistical Modeling, Relational Database, Machine Learning, Pytorch, Aws, Hugging Face, Langchain, Lightning, Vectordbs, Natural Language Processing.
Education: Bachelor's in quantitative field with 6 years experience; Master's in quantitative field or MBA with quantitative concentration plus 4 years experience; PhD in quantitative field plus 1 year experience.
Frequently asked questions about Manager, Data Science - AI Foundations at Capital One
What does a Manager, Data Science - AI Foundations at Capital One do?expand_more
A Manager, Data Science - AI Foundations at Capital One is responsible for the following: Translate complex technical work into tangible business goals for stakeholders; Build and operationalize machine learning and NLP models for scalable production systems serving 80+ million customers; Adapt and fine-tune Large Language Models for customer-facing applications and features; and Lead experimentation and innovation to create next-generation experiences using generative AI.
What are the requirements for this Manager, Data Science - AI Foundations role?expand_more
Capital One is looking for candidates who meet the following requirements: Bachelor's in quantitative field plus 6 years data analytics OR Master's in quantitative field plus 4 years OR PhD in quantitative field plus 1 year; 1 year experience with open source programming languages for large scale data analysis; 1 year experience with machine learning; 1 year experience with relational databases; 4 years experience in Python, Scala, or R (preferred); and 4 years experience with machine learning (preferred).
Where is the Manager, Data Science - AI Foundations role at Capital One located?expand_more
Manager, Data Science - AI Foundations 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 Manager, Data Science - AI Foundations job remote, hybrid, or on-site?expand_more
Capital One has listed this Manager, Data Science - AI Foundations role as on-site.
How much experience is required for this Manager, Data Science - AI Foundations role?expand_more
Manager, Data Science - AI Foundations at Capital One typically requires 1+ years of relevant experience at the senior level.
What skills do you need for the Manager, Data Science - AI Foundations role at Capital One?expand_more
Key skills for Manager, Data Science - AI Foundations at Capital One include Statistical Modeling; Relational Database; Machine Learning; Pytorch; Aws; Hugging Face; Langchain; and Lightning.
What education is required for Manager, Data Science - AI Foundations at Capital One?expand_more
Educational requirements for this role: Bachelor's in quantitative field with 6 years experience; Master's in quantitative field or MBA with quantitative concentration plus 4 years experience; and PhD in quantitative field plus 1 year experience.
What category does the Manager, Data Science - AI Foundations role belong to?expand_more
Manager, Data Science - AI Foundations at Capital One is part of the it job category on Recrutus.