Position Details
About this role
This role involves developing and validating machine learning models to support financial services initiatives, working closely with cross-functional teams.
Key Responsibilities
- Partner with teams
- Build ML models
- Validate and evaluate models
- Leverage AWS Sagemaker
- Collaborate on data science projects
Technical Overview
The technical environment includes Python, AWS Sagemaker, GitHub, SQL, and data science tools focused on model development, validation, and deployment.
Ideal Candidate
The ideal candidate is a mid-level data scientist experienced in Python, AWS Sagemaker, and model development. They should be skilled in building, validating, and evaluating machine learning models within a collaborative team environment.
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 Sagemaker, No experience with model validation or evaluation, No data science background, Less than 3 years of relevant experience
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