Principal Data Scientist (10042)

7 Minutes ago • 8 Years +
Data Analysis

Job Description

Extreme Networks is seeking a Principal Data Scientist to innovate with Generative AI and Machine Learning, shaping next-gen networking experiences. This greenfield opportunity involves defining product vision and technical roadmap, driving innovation from concept to delivery. The role focuses on pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning, to build intelligent, high-performance multi-agent systems for network management.
Good To Have:
  • MS or PhD in Computer Science, Machine Learning, or a related discipline.
  • Experience with distributed Big Data and ML platforms (Spark, Flink, Kafka, PySpark, Lakehouse).
  • Recognized track record in the ML and AI community (publications, patents, open-source contributions, conference talks).
  • Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment.
Must Have:
  • Define and drive data science and ML strategy.
  • Lead high-impact research in ML, GenAI, and Graph ML.
  • Partner with leadership to align data science innovation with business goals.
  • Mentor and guide scientists, set technical direction.
  • Represent organization externally (publications, talks, collaborations).
  • Degree in Computer Science, Mathematics, or related field.
  • 8+ years in applied ML research and production deployment.
  • 3+ years building Generative AI solutions (RAG, AI Agents, LLM fine-tuning) in production.
  • Experience with Graph ML and Graph technologies (GNNs, GraphRAG) in production.
  • Proven end-to-end ownership of ML systems (design, experimentation, validation, deployment, scaling).
  • Experience deploying solutions on cloud platforms (AWS, Azure, GCP).
  • Ability to solve complex, ambiguous, cross-domain problems with measurable impact.

Add these skills to join the top 1% applicants for this job

cross-functional
data-analytics
data-structures
game-texts
product-vision
networking
aws
azure
spark
data-science
machine-learning

Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.

This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.

There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.

Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.

At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.

Job 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

Requirements:

  • 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

Preferred Qualifications

  • MS or PhD in Computer Science, Machine Learning, or a related discipline
  • Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse
  • Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks
  • Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment

Set alerts for more jobs like Principal Data Scientist (10042)
Set alerts for new jobs by extreme network
Set alerts for new Data Analysis jobs in United States
Set alerts for new jobs in United States
Set alerts for Data Analysis (Remote) jobs

Contact Us
hello@outscal.com
Made in INDIA 💛💙