Description

You will act as the bridge between the Decision Science Ecosystem platform team and the data science community, enabling data scientists to successfully model and operationalize solutions. This role focuses on evangelism, community building, and technical advocacy rather than direct software development.

Responsibilities

• Foster an internal developer community around Global Data Assets & Analytics platforms and technologies.
• Organize hackathons, workshops, and meetups to facilitate knowledge sharing aligned with platform roadmaps.
• Partner with data scientists to implement best practices and align work with platform vision.
• Create educational content and provide technical support to simplify platform operations.
• Gather developer feedback and advocate for community needs to key influencers and leaders.

Required Skills

• 5+ years of experience in data science, data modeling, or AI/ML.
• Proficiency in Python or R, including libraries like pandas, NumPy, and scikit-learn.
• Experience with data visualization tools.
• Strong understanding of MLOps practices and model deployment strategies.
• Hands-on experience with top cloud platforms: AWS SageMaker, GCP, or Azure.
• Ability to read and understand code without primary development responsibilities.
• Excellent verbal and written communication skills for cross-functional advocacy.

Preferred Skills

• Masters degree in a quantitative field.
• Experience building relationships with community leaders and extending platform reach.

Key Skills

Education

Any Graduate