Description

This role acts as the bridge between the Decision Science Ecosystem platform team and the data science community, enabling data scientists to operationalize solutions on the 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 the platform.
• Gather developer feedback and advocate for community needs across Global Data Assets & Analytics.
• Foster a thriving data science community, including organizing hackathons and workshops.

Required Skills

• 10+ years of experience in a data science or modeling capacity.
• Proficiency in Python or R, utilizing libraries such as Pandas, NumPy, and SciKit-learn.
• Experience with Data Visualization tools.
• Familiarity with cloud platforms: AWS SageMaker, GCP, or Azure, focusing on ML model deployment.
• Understanding of MLOps practices and model deployment strategies.
• Ability to read code, though development is not the primary function of this role.

Key Skills

Education

Any Graduate