ML Engineer building configurable ML systems that drive enterprise growth outcomes. Working closely with high - level stakeholders to translate business challenges into ML solutions.
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Hybrid Principal Associate, Data Science – Global Network Analytics, Data Solutions & Modeling
Posted 4 months ago
About the role
- Data Scientist at Capital One leveraging data science to unlock insights for payment businesses. Partnering with cross-functional teams to deliver data-driven products and analytical solutions.
Responsibilities
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage technologies to reveal insights hidden within huge volumes of 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
Requirements
- A Bachelor's Degree in a quantitative field 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
- Master’s Degree in “STEM” field PLUS 3 years of experience in data analytics, or PhD in “STEM” field
- At least 1 year of experience working with AWS
- At least 3 years’ experience in Python, Scala, or R
- At least 3 years’ experience with machine learning
- At least 3 years’ experience with SQL
- At least 1 year of experience with Large Language Models (LLMs) or Natural Language Processing (NLP)
Benefits
- Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
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