About the role

Principal Data Scientist leading AI innovation for network management at Extreme. Driving long-term data science and ML strategy in a greenfield opportunity.

Responsibilities

Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities
Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption
Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments
Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation
Represent the organization externally through publications, talks, and collaborations, strengthening the company’s thought leadership in AI and ML

Degree in Computer Science, Mathematics, or a related field
8+ years of experience in applied ML research and production deployment
3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production
Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production
Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems
Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP
Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impact.