Description

You act as the bridge between the Decision Science Ecosystem platform team and the data science community, enabling data scientists to model and operationalize solutions on the platform.

Responsibilities

• Partner with data science community members 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 the data science community.
• Gather developer feedback and advocate for community needs.
• Foster a thriving data science community around Global Data Assets & Analytics platforms.

Required Skills

• Experience with Python or R, including libraries such as pandas, NumPy, and SciKit-learn.
• Proficiency in cloud platforms: AWS SageMaker, GCP, or Azure.
• Practical knowledge of MLOps practices and model deployment strategies.
• Ability to read code, though active development is not required.
• Experience advocating for a large data realm user base.
• Minimum of 10+ years of professional experience.
• Master's degree in Data Science, Data Modeling, or AI.

Key Skills

Education

Any Graduate