Description

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

This role is on-site.

Responsibilities

• Partner with data scientists to implement best practices and align with platform vision.
• Develop and contribute tools that simplify platform operations and streamline model deployment.
• Create educational content and provide technical support to the community.
• Gather developer feedback and advocate for community needs across GDA&A teams.
• Organize hackathons and workshops to foster a developer community around Global Data Assets & Analytics platforms.

Required Skills

• 10+ years of experience in data science, data modeling, or AI/ML.
• Strong proficiency in Python or R, including libraries like pandas, NumPy, and scikit-learn.
• Experience with data visualization tools.
• Hands-on knowledge of MLOps practices and model deployment strategies.
• Expertise in at least one top cloud platform: AWS SageMaker, GCP, or Azure.
• Ability to read and understand code without primary development responsibilities.
• Masters degree in a relevant technical field.

Key Skills

Education

Any Graduate