Data Science Tutor
x.ai
MacOS
Principal Data Scientist
Extreme Networks
full-time
Posted on:
Location Type: Hybrid
Location: Seattle • California, New Hampshire, North Carolina, Washington • 🇺🇸 United States
Visit company websiteJob Level
Lead
Tech Stack
AWSAzureCloudGoogle Cloud PlatformKafkaPySparkSpark
About the role
- 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
- Shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing
- Define user journey, product vision, and technical roadmap; drive innovation from concept to delivery
- Build intelligent, high-performance multi-agent systems, RAG, knowledge bases, data mining, and anomaly detection that power Extreme products
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
- MS or PhD in Computer Science, Machine Learning, or a related discipline (preferred)
- Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse (preferred)
- Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks (preferred)
- Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment (preferred)
Benefits
- Hybrid work arrangement (Seattle, San Jose, Salem, Raleigh)
- Culture of diversity, inclusion, and equality
- Recognized as a Technology Leader in the Gartner Magic Quadrant and multi-year Best Employer
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learninggenerative AIgraph MLRAGdata mininganomaly detectioncloud computingbig datadistributed systemsLLM fine-tuning
Soft skills
mentoringleadershipinfluencingcross-functional alignmentproblem-solvinginnovationcommunicationcollaborationstrategic thinkingculture of excellence
Certifications
MS in Computer SciencePhD in Computer SciencePhD in Machine Learning
