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.
Equal Employment Opportunity/Disability/Veterans
If you need an accommodation due to a disability, please email us at [email protected]. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.
MetLife maintains a drug-free workplace.
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