Description
We are seeking a Manager, Data Science - Emerging ML to join our team at Capital One. 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 Emerging ML is the data science and machine learning team inside Capital One’s Applied Research organization. We focus on research and development of new technologies within the domain of Artificial Intelligence with a focus on Embeddings and Foundation Models. We partner closely with our product and engineering teams to connect emerging technologies with business critical use cases across Capital One’s lines of business.
Responsibilities As a Manager, Data Science - Emerging ML, you will work on things like:
- Conducting research into self-supervised learning, transformer models, and representation learning
- Building customer behavioral models (using transaction, clickstream, and other data) that identify trends, patterns, and relationships related to product usage
- Refining integration patterns for encoder and decoder models for downstream use cases to connect Applied Research products and business use cases
Requirements
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
+ A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics
- At least 1 year of experience leveraging open source programming languages for large scale data analysis
- At least 1 year of experience working with machine learning
- At least 1 year of experience utilizing relational databases
Preferred Qualifications
- PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- Experience working with AWS
- At least 4 years’ experience in Python, Scala, or R
- At least 4 years’ experience with machine learning
- At least 4 years’ experience with SQL
Salary The minimum and maximum full-time annual salaries for this role are listed below, by location: McLean, VA: $197,300 - $225,100 for Mgr, Data Science New York, NY: $215,200 - $245,600 for Mgr, Data Science San Jose, CA: $215,200 - $245,600 for Mgr, Data Science
Benefits Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.