Description

This role bridges the platform team and the data science community, focusing on enabling data scientists to operationalize solutions on the Decision Science Ecosystem platform.

Responsibilities

• Partner with the data science community to implement best practices and align with platform vision.
• Develop and contribute tools that simplify platform operations.
• Create educational content and provide technical support for data science users.
• Gather developer feedback and advocate for community needs across data assets.
• Foster a thriving data science community around Global Data Assets & Analytics platforms.

Required Skills

• 10+ years of experience in a data science, data modeler, or AI role.
• Proficiency in Python or R, including libraries such as Pandas, NumPy, and SciKit-learn.
• Experience with top cloud platforms: AWS SageMaker, GCP, or Azure.
• Familiarity with MLOps practices and model deployment strategies.
• Ability to read code, though direct development is not required.
• Masters degree required.

Key Skills

Education

Any Graduate