AI Data Scientist Technical Leader (Hybrid)
About The Position
Join Cisco’s Silicon One Hardware Engineering team as an AI Data Scientist / Data Analyst, applying sophisticated analytics, machine learning, and AI agent technologies to semiconductor manufacturing. The role focuses on yield analysis and debugging, predictive modeling, and improving product quality, test cost, manufacturing efficiency, and time-to-market for Cisco silicon solutions. This is a hybrid role based in Cisco’s San Jose, California office, with three days per week onsite. The successful candidate will develop and deploy AI/ML models and agents, analyze large manufacturing datasets, and collaborate with hardware, test, and process engineering teams to turn technical and business needs into data science solutions. They will communicate insights to cross-functional teams and stay current with developments in AI/ML, analytics, and semiconductor manufacturing.
Requirements
- MS or PhD in Computer Science, Electrical Engineering, Data Science, Statistics, or a related field.
- At least 8 years of experience in data science, machine learning, or data analytics; semiconductor or hardware engineering experience is preferred.
- Strong proficiency in Python and data science libraries such as pandas, scikit-learn, XGBoost, TensorFlow, or PyTorch.
- Experience building, validating, and deploying AI/ML models for classification, regression, anomaly detection, and time-series forecasting.
- Hands-on experience with AI agent frameworks and automation of data analysis workflows.
- Solid understanding of semiconductor manufacturing, test data, and yield analysis concepts.
- Experience with data visualization tools such as matplotlib, seaborn, Tableau, or Power BI.
- Excellent problem-solving, communication, and teamwork skills.
Nice To Haves
- Experience with cloud-based data platforms such as AWS, GCP, or Azure and big data technologies.
- Familiarity with Optuna or other hyperparameter optimization frameworks.
- Knowledge of hardware debugging, root cause analysis, and reliability engineering.
Responsibilities
- Develop, deploy, and maintain AI/ML models for yield analysis, yield debugging, 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 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 multifunctional teams through visualizations, reports, and presentations.
- Stay current with advancements in AI/ML, data analytics, and semiconductor manufacturing best practices.
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) plan with Cisco matching contribution
- Paid parental leave
- Short- and long-term disability coverage
- Basic life insurance
- Paid holidays
- Floating holiday for non-exempt employees
- Paid birthday day off
- Paid year-end holiday shutdown
- Personal wellness days
- Paid vacation or flexible vacation time off, depending on employee classification
- Paid sick time
- Additional paid time away may be requested for critical or emergency family issues
- Optional paid volunteer days
- Annual bonuses for eligible non-sales employees
- Potential Cisco restricted stock unit grants
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What This Job Offers
Job Type
Full-time
Career Level
Senior
