Description

You bridge the Decision Science Ecosystem platform team and the data science community, enabling scientists to model and operationalize solutions on the platform. This role is on-site.

Responsibilities

• Partner with data science members to implement best practices and align with platform vision.
• Develop tools that simplify platform operations and maintenance.
• 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

• 10+ years of professional experience.
• Proficiency in Python or R, including pandas, NumPy, and SciKit-learn.
• Experience with cloud platforms: AWS SageMaker, GCP, or Azure.
• Practical knowledge of MLOps practices and model deployment strategies.
• Ability to read code (active development not required).
• Experience advocating for a large data realm user base.

Preferred Skills

• Master's degree in Data Science, Data Modeling, or AI.

Key Skills

Education

Any Graduate