Senior Associate, Data Science - Search and Recommendation
Employment Information
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 the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has 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 that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Search and Recommendation Data Science team is on a multiple year journey to reimagine the experience for the car shopping marketplace (shoppers and dealers) starting with a strong understanding of the customers needs and building an iconic experience that is engaging and meaningful. All of that begins with a deep understanding of user search query, past interactions and products in our catalog which we can use to find relevant search and recommendation results. You will have the chance to leverage your knowledge and experience from Information Retrieval, Deep Learning, Natual Language Processing, Large Language Models, Ranking, and Recommender Systems and work with high caliber, cross functional teams consisting of Product Managers, Engineers, Analysts and User Researchers to build large-scale, real-time distributed machine learning systems that power the Search and Recommendation experience for a truly iconic personalized experience.
Role Description
In this role you will:
- Work backwards from user needs to build and productionalize the underlying algorithms for our large-scale Search and Recommendation system that drive massive user and business metrics improvement
- Conduct cutting-edge, value-driven research to explore the frontier of the Search and Recommendation
- Work cross functionally with a high caliber team consists of product managers, engineers, and user researchers to ship new AI-powered features into production
- Regularly communicate and influence stakeholders with a diverse background
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.
- Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
- Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have theoretical and practical experience with Information Retrieval, Recommender System, Search Ranking, Large-scale, Real-time machine learning systems.
Basic Qualifications:
- Currently has, or is in the process of obtaining a Bachelor’s Degree plus 2 years of experience in data analytics, or currently has, or is in the process of obtaining Master’s Degree, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start date
- At least 1 year of experience in open source programming languages for large scale data analysis
- At least 1 year of experience with machine learning
- At least 1 year of experience with relational databases
Preferred Qualifications:
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- At least 1 year of experience working with AWS
- At least 1 year of experience building large scale, real-time Search and Recommendation algorithms
- At least 1 year of experience in Python, Scala, or R
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital 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 (including pregnancy, childbirth or related medical conditions), 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. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
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. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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