Principal Associate, Data Scientist
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 computing and machine learning technologies to operate across billions of customer records, unlocking big opportunities that help everyday people save money, time, and agony in their financial lives.
About the Team
The Valuations team is a multi-disciplinary group focused on the development, deployment, model governance, and risk management of valuations models in credit underwriting. Our mission is to bring real-time, personalized offers to our customers through innovation and optimization in our valuations modeling system. We work with partners from across the enterprise to build data and modeling products that enable best-in-class credit analysis and customer-facing decisioning.
Underwriting innovation is a key source of Capital One's competitive advantage—it is in our DNA. Our team continues to push that competitive edge through the use of new data and advanced modeling techniques. Building the capabilities the enterprise needs is a challenging long-term project, but the prize is big, and there are plenty of opportunities to deliver value along the way.
Our team's work is both intellectually demanding and highly collaborative. You will work across LOB underwriting teams, various DS/DA teams, enterprise platform teams, enterprise data teams, tech teams, legal and compliance teams, consumer credit risk management, the model risk office, and enterprise data risk management.
Great team culture is profoundly important to us: we want everyone to feel they are doing meaningful and enjoyable work. We are informal and indifferent to hierarchy, actively encourage new ideas and new ways of doing things, and respect each other's perspectives and preferences.
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. Your work will involve building machine learning models through all phases of development, from design through training, evaluation, validation, and implementation. You will also flex your interpersonal skills to translate the complexity of your work into tangible business goals.
The ideal candidate is customer-first, innovative, creative, technical, statistically-minded, and a data guru. You will thrive on bringing definition to big, undefined problems and stay current on emerging technologies to apply them to our lending decisions.
Hiring Process
This role is expected to accept applications for a minimum of 5 business days. No agencies please.
Equal Opportunity
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.
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_circleConduct model development using statistical methodologies to improve performance
- check_circleLeverage alternative data sources and feature engineering to enhance models
- check_circlePartner with stakeholders to establish standards for new modeling approaches
- check_circleTranslate complex data science work into tangible business goals
- check_circlePush the envelope with new data and modeling approaches to improve lending decisions
- check_circleBuild machine learning models through design, training, evaluation, and implementation
- check_circleDevelop next-generation credit underwriting models
Requirements
- verifiedBachelor's in quantitative field plus 5 years data analytics
- verifiedMaster's in quantitative field plus 3 years data analytics
- verifiedPhD in quantitative field
- verifiedMaster's in STEM plus 3 years data analytics
- verifiedPhD in STEM
- verified1 year AWS experience
- verified3 years Python, Scala, or R experience
- verified3 years machine learning experience
- verified3 years SQL experience
Nice to Have
Master's Degree in a STEM field plus 3 years of experience in data analytics, or PhD in a STEM field. At least 1 year of experience working with AWS. At least 3 years' experience in Python, Scala, or R. At least 3 years' experience with machine learning. At least 3 years' experience with SQL.
Benefits & Perks
check_circleComprehensive health, financial, and other benefits for total well-beingcheck_circleEligibility for performance-based incentive compensation including cash bonuses and long-term incentives
Similar Job Opportunities
Skills, education and keywords
Skills: Python, Scala, R, SQL, Aws, Spark, Conda, Machine Learning, Statistical Modeling, Clustering.
Education: Bachelor's Degree in a quantitative field required with 5 years of experience; Master's Degree in a quantitative field or MBA with quantitative concentration required with 3 years of experience; PhD in a quantitative field required.
Frequently asked questions about Principal Associate, Data Scientist at Capital One
What does a Principal Associate, Data Scientist at Capital One do?expand_more
A Principal Associate, Data Scientist at Capital One is responsible for the following: Conduct model development using statistical methodologies to improve performance; Leverage alternative data sources and feature engineering to enhance models; Partner with stakeholders to establish standards for new modeling approaches; and Translate complex data science work into tangible business goals.
What are the requirements for this Principal Associate, Data Scientist role?expand_more
Capital One is looking for candidates who meet the following requirements: Bachelor's in quantitative field plus 5 years data analytics; Master's in quantitative field plus 3 years data analytics; PhD in quantitative field; Master's in STEM plus 3 years data analytics; PhD in STEM; and 1 year AWS experience.
Where is the Principal Associate, Data Scientist role at Capital One located?expand_more
Principal Associate, Data Scientist 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 Principal Associate, Data Scientist job remote, hybrid, or on-site?expand_more
Capital One has listed this Principal Associate, Data Scientist role as on-site.
How much experience is required for this Principal Associate, Data Scientist role?expand_more
Principal Associate, Data Scientist at Capital One typically requires 3+ years of relevant experience at the senior level.
What skills do you need for the Principal Associate, Data Scientist role at Capital One?expand_more
Key skills for Principal Associate, Data Scientist at Capital One include Python; Scala; R; SQL; Aws; Spark; Conda; and Machine Learning.
What education is required for Principal Associate, Data Scientist at Capital One?expand_more
Educational requirements for this role: Bachelor's Degree in a quantitative field required with 5 years of experience; Master's Degree in a quantitative field or MBA with quantitative concentration required with 3 years of experience; and PhD in a quantitative field required.
What category does the Principal Associate, Data Scientist role belong to?expand_more
Principal Associate, Data Scientist at Capital One is part of the it job category on Recrutus.