Manager, Data Scientist - Recommendation & Personalization Systems
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.
As a Data Scientist at Capital One, you'll be part of a team leading the next wave of disruption at a whole new scale. We use the latest in computing and machine learning technologies, operating across billions of customer records to unlock big opportunities that help everyday people save money, time, and agony in their financial lives.
About the Team
Join an elite Applied AI team within AI Foundations, operating at the intersection of deep research and massive real-world impact. We are pioneering the next generation of personalized customer experiences across Capital One's web and mobile applications, leveraging our high-scale ML models. Our core mission involves architecting and deploying cutting-edge personalized recommendation engines powered by original research into homegrown Foundation Models, advanced Reinforcement Learning techniques, and a state-of-the-art scalable architecture built for billions of interactions.
Our research agenda is at the forefront of the field, actively focusing on areas such as Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems.
About the Role
In this role, you will partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love. You will leverage a broad stack of technologies to reveal insights hidden within huge volumes of numeric and textual data and build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.\n Success in this position requires flexing your interpersonal skills to translate the complexity of your work into tangible business goals. The ideal candidate is customer-first, innovative, technical, and a data guru who understands that "big data" doesn't faze them and that understanding the data is often the key to great data science.
Hiring Process
This role is expected to accept applications for a minimum of 5 business days. No agencies please.
Equal Opportunity & Culture
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.
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.
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_circleArchitect and deploy personalized recommendation engines using high-scale ML models
- check_circleLeverage Python, AWS, Spark, and other technologies to analyze large-scale numeric and textual data
- check_circleBuild and deploy machine learning models through design, training, evaluation, and implementation phases
- check_circleApply reinforcement learning techniques to optimize customer experiences across web and mobile platforms
- check_circleConduct research on causal inference, Transformer-based architectures, and advanced recommender systems
- check_circleTranslate complex data science work into tangible business goals for stakeholders
- check_circlePartner with cross-functional teams to deliver customer-focused data science products
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+ years experience with open source programming languages for large scale data analysis
- verified1+ years experience working with machine learning
- verified1+ years experience utilizing relational databases
Nice to Have
PhD in a STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics. At least 3 years of hands-on experience building, deploying, and maintaining high-scale, production-grade ML systems using MLOps practices, including AWS, Kubeflow, and CI/CD pipelines. At least 4 years of experience in developing and optimizing state-of-the-art Deep Learning models, specifically Transformer-based architectures, using PyTorch and distributed training with multi-GPU optimization. At least 4 years of experience with high-performance, distributed data processing for petabyte-scale feature engineering using frameworks like DASK and PySpark.
Benefits & Perks
check_circleComprehensive health, financial, and other benefits for total well-beingcheck_circlePerformance-based incentive compensation including cash bonuses and long-term incentives
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Skills, education and keywords
Skills: Python, Conda, Aws, H2o, Spark, Machine Learning, Relational Databases, Mlops, Kubeflow, Ci/cd Pipelines.
Education: Bachelor's Degree in a quantitative field with 6 years of experience; Master's Degree in a quantitative field or MBA with quantitative concentration with 4 years of experience; PhD in a quantitative field with 1 year of experience.
Frequently asked questions about Manager, Data Scientist - Recommendation & Personalization Systems at Capital One
What does a Manager, Data Scientist - Recommendation & Personalization Systems at Capital One do?expand_more
In this Manager, Data Scientist - Recommendation & Personalization Systems at Capital One role, you will architect and deploy personalized recommendation engines using high-scale ml models; leverage python, aws, spark, and other technologies to analyze large-scale numeric and textual data; build and deploy machine learning models through design, training, evaluation, and implementation phases; and apply reinforcement learning techniques to optimize customer experiences across web and mobile platforms.
What are the requirements for this Manager, Data Scientist - Recommendation & Personalization Systems 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+ years experience with open source programming languages for large scale data analysis; 1+ years experience working with machine learning; and 1+ years experience utilizing relational databases.
Where is the Manager, Data Scientist - Recommendation & Personalization Systems role at Capital One located?expand_more
Manager, Data Scientist - Recommendation & Personalization 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 Manager, Data Scientist - Recommendation & Personalization Systems job remote, hybrid, or on-site?expand_more
Capital One has listed this Manager, Data Scientist - Recommendation & Personalization Systems role as on-site.
How much experience is required for this Manager, Data Scientist - Recommendation & Personalization Systems role?expand_more
Manager, Data Scientist - Recommendation & Personalization Systems at Capital One typically requires 1+ years of relevant experience at the senior level.
What skills do you need for the Manager, Data Scientist - Recommendation & Personalization Systems role at Capital One?expand_more
Key skills for Manager, Data Scientist - Recommendation & Personalization Systems at Capital One include Python; Conda; Aws; H2o; Spark; Machine Learning; Relational Databases; and Mlops.
What education is required for Manager, Data Scientist - Recommendation & Personalization Systems at Capital One?expand_more
Educational requirements for this role: Bachelor's Degree in a quantitative field with 6 years of experience; Master's Degree in a quantitative field or MBA with quantitative concentration with 4 years of experience; and PhD in a quantitative field with 1 year of experience.
What category does the Manager, Data Scientist - Recommendation & Personalization Systems role belong to?expand_more
Manager, Data Scientist - Recommendation & Personalization Systems at Capital One is part of the it job category on Recrutus.