Position Details
About this role
This role involves developing machine learning models and data insights within Capital One's AML team, leveraging open-source tools and cloud platforms to detect fraud and money laundering activities.
Key Responsibilities
- Partner with cross-functional teams
- Develop machine learning models
- Analyze large datasets
- Deploy models into production
- Generate data insights
Technical Overview
The candidate will work with Python, AWS, Spark, H2O, and Snowflake to build and deploy predictive models and perform advanced data analysis.
Ideal Candidate
The ideal candidate is a data scientist with 3+ years of experience in Python, AWS, and machine learning, capable of developing predictive models and analyzing large datasets to generate actionable insights.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Python or AWS, No machine learning experience, No statistical modeling background, No experience with model deployment
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