Description

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

This role is on-site.

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.
• Gather developer feedback and advocate for community needs.
• Foster a thriving data science community.

Required Skills

• 10+ years of experience in a data science, data modeler, or AI/ML 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 active development is not required.
• Strong communication skills to foster a developer community.
• Experience advocating for data realm needs.

Key Skills

Education

Any Graduate