Position Details
About this role
This role involves developing innovative data solutions for underwriting using alternative datasets, leveraging machine learning and cloud technologies to enhance decision-making processes.
Key Responsibilities
- Partner with cross-functional teams to deliver data products
- Leverage cloud and open-source tools for data analysis
- Build and validate machine learning models
- Ensure data quality and integrity
- Design scalable data processing systems
Technical Overview
The environment includes Python, AWS, Spark, H2O, and focuses on scalable data processing, feature engineering, and model development for large-scale data analysis.
Ideal Candidate
The ideal candidate is a data scientist with experience in developing machine learning models using open-source tools like Python, Spark, and H2O, and cloud platforms such as AWS. They should have a strong background in feature engineering, data processing, and working with large datasets to deliver impactful 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 AWS or cloud platforms, No experience in data science or machine learning, No background in feature engineering or data processing
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