Description
As a Manager, Data Science - AI Foundations at Capital One, you will lead the next wave of disruption using the latest computing and machine learning technologies across billions of customer records. You will be part of the AI Foundations Specialist Models Data Science team, building and shipping state-of-the-art scalable architecture and AI/ML solutions for Capital One's award-winning mobile app.
In this role, you will:
- Partner with cross-functional teams to deliver AI-powered products that change how customers interact with their money.
- Leverage a broad stack of technologies, including Pytorch, AWS Ultraclusters, Hugging Face, LangChain, Lightning, VectorDBs, and more, to reveal insights hidden within huge volumes of numeric and textual data.
- Be an expert in Natural Language Processing (NLP) to harness the power of Large Language Models (LLMs), adapt and fine-tune them for customer-facing applications and features.
- Build machine learning and NLP models through all phases of development, from design through training, evaluation, and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems.
- Translate the complexity of your work into tangible business goals.
The ideal candidate is customer-focused, innovative, creative, a leader, technical, and influential.
Basic qualifications include:
- A Bachelor's Degree in a quantitative field plus 6 years of experience performing data analytics.
- A Master's Degree in a quantitative field or an MBA with a quantitative concentration plus 4 years of experience performing data analytics.
- A PhD in a 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 include:
- PhD in a STEM field.
- Experience working with AWS.
- At least 4 years of experience in Python, Scala, or R.
- At least 4 years of experience with machine learning.
- At least 4 years of experience with SQL.
The salary range for this role varies by location:
- McLean, VA: $197,300 - $225,100.
- New York, NY: $215,200 - $245,600.
- San Jose, CA: $215,200 - $245,600.
This role is eligible to earn performance-based incentive compensation, including cash bonuses and/or long-term incentives.