Description
Data is at the center of everything we do at Capital One. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and relational databases. Now, as a Fortune 200 company, we're leading the next wave of disruption using the latest in computing and machine learning technologies.
As a Data Scientist at Capital One, you'll be part of the Emerging ML team, focusing on research and development of new technologies within Artificial Intelligence, specifically Embeddings and Foundation Models. You'll work across the data science lifecycle, building machine learning models, partnering with engineering teams to operationalize them, and conducting experiments to improve customer experiences and business outcomes.
Responsibilities:
- Build machine learning models from design through training, evaluation, and validation, and partner with engineering teams to operationalize them in scalable production systems serving 50+ million customers.
- Conduct experiments with business and product teams to guide improvements to customer experiences and business outcomes in domains like marketing, servicing, and fraud prevention.
- Write software in Python, Scala, etc., to collect, explore, visualize, and analyze numerical and textual data using tools like Spark and AWS.
The Ideal Candidate:
- Is curious and creative, thriving on solving big, undefined problems, and communicates clearly and effectively with non-technical audiences.
- Has hands-on experience developing data science solutions from concept to production using open-source tools and modern cloud computing platforms.
- Is statistically-minded, with experience building models, validating them, and interpreting results.
- Is customer and product-oriented, sharing our passion for changing banking for good.
Basic Qualifications:
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 5 years of experience performing data analytics.
- A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 3 years of experience performing data analytics.
- A PhD in a quantitative field.
Preferred Qualifications:
- Master's Degree in STEM field plus 3 years of experience in data analytics, or PhD in STEM field.
- Experience with Python, Scala, or R, machine learning, and SQL.
Benefits:
- Comprehensive, competitive, and inclusive set of health, financial, and other benefits supporting total well-being.
- Performance-based incentive compensation, including cash bonuses and/or long-term incentives.