MetLife

Position Summary

We are looking for a hands-on Data Scientist to join our Enterprise Data Science team within MetLife’s Data & Analytics organization. This role focuses on building proof-of-concept (POC) solutions and accelerating the delivery of AI/ML capabilities across the enterprise. The ideal candidate combines strong coding skills with a passion for turning ideas into working prototypes that demonstrate real business value.

Key Responsibilities

• Develop POC applications and demos to showcase AI/ML capabilities using Python and JavaScript.
• Collaborate with data scientists, engineers, and product teams to develop AI/ML solutions.
• Translate business requirements into technical prototypes that validate feasibility and impact.
• Support solution refinement by gathering feedback and iterating on POCs for usability and scalability.
• Contribute to internal enablement by creating reusable code components and documentation.

Required Skills:

• 3–5 years of experience in data science, software engineering, or related technical roles.
• Proficiency in Python (data science libraries, API development) and JavaScript.
• Demonstrated ability to build end-to-end applications or prototypes integrating data, models, and user interfaces.
• Solid understanding ML concepts and practical experience working with model outputs.
• Strong communication skills for translating technical concepts to non-technical stakeholders.
• Experience with cloud platforms and containerization tools.
• Familiarity with CI/CD practices.
  
  

 Preferred Skills:

• Hands-on experience with AI model and AI capability development.
• Experience with data visualization tools and techniques.
• Exposure to MLOps practices or tools.
• Experience working in agile or cross-functional teams.