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# AI Data Scientist Technical Leader (Hybrid)

- **Company:** Cisco Systems, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $186,900 - $267,700
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Computer Engineering, Data Visualization, Software Debugging, Python (Programming Language), Machine Learning, Reliability Engineering, Power BI, Tensorflow, Tableau (Software), Test Data, Google Cloud, Cloud Platform System, Pytorch, Agentic-AI, Pandas, Matplotlib, Yield Optimization, Scikit Learn, Information Technology, Data Analytics, Xgboost, Virtual Agents, Cisco
- **Published:** October 30, 2026
- **Apply:** https://diversityjobs.com/career/18788148/Ai-Data-Scientist-Technical-Leader-Hybrid-California-San-Jose

## About the Role

* MS or PhD in Computer Science, Electrical Engineering, Data Science, Statistics, or a related field.
 * 8+ years of experience in data science, machine learning, or data analytics, preferably in semiconductor or hardware engineering environments.
 * Strong proficiency in Python and data science libraries (e.g., pandas, scikit-learn, XGBoost, TensorFlow, 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 (e.g., matplotlib, seaborn, Tableau, Power BI).

Preferred Qualifications

 * Experience with cloud-based data platforms (e.g., AWS, GCP, Azure) and big data technologies.
 * Familiarity with Optuna or other hyperparameter optimization frameworks.
 * Knowledge of hardware debug, root cause analysis, and reliability engineering.

## Description

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.

Your Impact

 * 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.