Description
Capital One is seeking a Director of Data Science to lead the next wave of disruption using AI and machine learning technologies across billions of customer records.
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 AI 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.
The team is building a portfolio of agentic AI products to transform Capital One's engineering organizations and lines of business – autonomous coding agents, context engineering, and agentic model-development lifecycle to name a few. The successful candidate will design AI/ML models, help build the solutions behind these products, and own the science that guides them: designing experiments (A/B tests), modeling telemetry, and turning the results into AI strategy and guidance for C-suite leadership.
Responsibilities:
- Partner with a cross-functional team of data scientists, AI & ML engineers, and product managers to deliver enterprise products customers love
- Leverage a broad stack of technologies , Python, Conda, AWS, H2O, Spark, and more , to reveal the insights hidden within huge volumes of numeric and textual data
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Translate the complexity of your work into tangible business goals
The Ideal Candidate:
- Is customer-focused, innovative, creative, a leader, technical, statistically-minded, and a data guru
- Has experience with open-source languages, cloud computing platforms, and large-scale data analysis
- Has built and deployed AI/ML models in production, designed and analyzed A/B tests, and has experience with machine learning, Spark, and Python
Basic Qualifications:
- A Bachelor's Degree in a quantitative field plus 9 years of experience performing data analytics
- A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 7 years of experience performing data analytics
- A PHD in a quantitative field plus 4 years of experience performing data analytics
- At least 4 years of experience leveraging open source programming languages for large scale data analysis
- At least 4 years of experience building/deploying AI/ML models in production
- At least 4 years of experience designing and analyzing A/B tests
Preferred Qualifications:
- PhD in “STEM” field plus 5 years of experience in data analytics
- 3+ years of experience working with AWS
- 5+ years of experience in Python, Scala, or R for large scale data analysis
- 5+ years of experience with machine learning
- 5+ years of experience with Spark
Benefits:
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
Salary Information:
- Cambridge, MA: $269,100 - $307,200 for Dir, Data Science
- McLean, VA: $269,100 - $307,200 for Dir, Data Science
- New York, NY: $293,600 - $335,100 for Dir, Data Science
- Richmond, VA: $244,700 - $279,200 for Dir, Data Science
- San Francisco, CA: $293,600 - $335,100 for Dir, Data Science