Description

You act as the link between the Decision Science Ecosystem platform team and the data science community.

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 to consumers of Global Data Assets.
• Gather developer feedback and advocate for community needs across GDA&A teams.
• Foster a thriving data science community around Global Data Assets & Analytics platforms.

Required Skills

• 10+ years of experience in a data science, data modeling, or AI/ML capacity.
• Proficiency in Python or R, including libraries such as Pandas, NumPy, and SciKit-learn.
• Experience with cloud platforms: AWS SageMaker, GCP, or Azure.
• Familiarity with MLOps practices and model deployment strategies.
• Capability to read code, although active development is not the primary function.
• Experience with Data Visualization tools.

Key Skills

Education

Any Graduate