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AI Data Scientist Technical Leader (Hybrid)
Cisco · San Jose, CA · Posted 9 days ago
Build AI agents and predictive models that directly drive yield, test cost, and time-to-market for Cisco's Silicon One chips.
The application window is expected to close on: 11/30/2026 This is a hybrid role based thrice a week in Cisco's San Jose, CA office.
We are seeking a highly skilled AI Data Scientist / Data Analyst to join our Silicon One Hardware Engineering team. In this role, you will leverage sophisticated analytics, machine learning, and AI agent technologies to drive yield analysis, debug, and predictive modeling for our semiconductor manufacturing processes. Your work will directly impact product quality, test cost, manufacturing efficiency, and time-to-market for Cisco’s industry-leading silicon solutions.
- Develop, deploy, and maintain AI/ML models for yield analysis, yield debug, and early-stage failure prediction in semiconductor manufacturing.
- Build and optimize AI agents to automate data-driven root cause analysis and yield improvement initiatives.
- Analyze large-scale manufacturing, test, and parametric datasets to identify trends, anomalies, and actionable insights.
- Collaborate with hardware, test, and process engineering teams to translate business and technical requirements into robust data science solutions.
- Design and implement predictive models to forecast yield and quality metrics at various stages of the manufacturing flow.
- Communicate findings and recommendations to multi-functional teams through clear visualizations, reports, and presentations.
- Stay current with the latest advancements in AI/ML, data analytics, and semiconductor manufacturing best practices.
- Excellent problem-solving, communication, and teamwork skills.
Minimum Qualifications
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There are 1,188 open roles at Cisco right now. This role is one of 12 Data Scientist openings in San Jose, CA and centers on Python, Pandas, Scikit-learn, and Xgboost.
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