Position Details
About this role
This role involves developing machine learning models and analyzing large-scale customer data to improve fraud detection and personalize customer experiences at Capital One.
Key Responsibilities
- Explore customer data
- Develop machine learning models
- Partner with engineering teams
- Analyze textual and numerical data
- Detect fraud and personalize experiences
Technical Overview
Environment includes Python, Conda, AWS, H2O, Spark, with a focus on machine learning, big data analysis, and real-time modeling.
Ideal Candidate
The ideal candidate is a mid-level data scientist with experience in Python, Spark, and machine learning, capable of analyzing large datasets and developing real-time predictive models in a financial context.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
Lack of experience with Python or Spark, No experience with machine learning, No experience analyzing big data, Lack of familiarity with cloud platforms
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