AI Data Scientist Technical Leader (Hybrid)

Cisco•San Jose, CA

6d•Hybrid

About The Position

Cisco is seeking a highly skilled AI Data Scientist / Data Analyst to join its Silicon One Hardware Engineering team. The role applies sophisticated analytics, machine learning, and AI agent technologies to semiconductor manufacturing yield analysis, debug, and predictive modeling. The work is intended to improve product quality, test cost, manufacturing efficiency, and time-to-market for Cisco silicon solutions. The position is hybrid, based in Cisco’s San Jose, California office three days per week.

Requirements

MS or PhD in Computer Science, Electrical Engineering, Data Science, Statistics, or a related field.
8 or more 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, and 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 debug, root cause analysis, and reliability engineering.

Responsibilities

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 data science solutions.
Design and implement predictive models to forecast yield and quality metrics at different stages of the manufacturing flow.
Communicate findings and recommendations to cross-functional teams through visualizations, reports, and presentations.
Stay current with advancements in AI/ML, data analytics, and semiconductor manufacturing best practices.

Benefits

Medical, dental, and vision insurance, subject to plan eligibility rules.
401(k) plan with a Cisco matching contribution.
Paid parental leave.
Short- and long-term disability coverage.
Basic life insurance.
Paid holidays and a floating holiday for non-exempt employees.
Birthday day off, year-end holiday shutdown, and personal wellness days.
Paid vacation or flexible vacation time off, depending on employee classification.
Sick time off, with unused sick time carryforward subject to the stated limit.
Additional paid time away may be requested for critical or emergency family issues.
Optional paid volunteer days.
Annual bonuses for eligible non-sales employees, subject to Cisco policies.
Eligible employees may receive Cisco restricted stock unit grants, subject to vesting conditions.