Position Details
About this role
A data scientist role focused on developing machine learning models for credit underwriting and customer insights at Capital One.
Key Responsibilities
- Partner with cross-functional teams to deliver models
- Leverage technologies like Python, AWS, Spark
- Build models from design to deployment
- Translate complex data into business insights
- Collaborate on data strategy
Technical Overview
Utilizes Python, Conda, AWS, H2O, Spark, and advanced statistical and machine learning techniques to analyze large datasets and build predictive models.
Ideal Candidate
The ideal candidate is a mid-level data scientist with 3+ years of experience in statistical modeling, machine learning, and data analysis using open-source tools and cloud platforms like AWS. They should be creative, collaborative, and proficient in handling large datasets and developing scalable models.
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 cloud platforms like AWS, No experience with machine learning or statistical modeling, Unable to demonstrate experience with big data tools, No experience with open-source data science tools
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