# AI Data Scientist / Data Analyst

**Company**: Cisco
**Location**: San Jose, California
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $186,900.00 to $267,700.00
**Category**: Data Science
**Industry**: Technology

**Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/San-Jose-California-US/AI-Data-Scientist-Technical-Leader--Hybrid-_2028168?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5c169359-38d

## 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 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.

Minimum Qualifications:

- 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.

Benefits:

- Medical, dental, and vision insurance

- 401(k) plan with a Cisco matching contribution

- Paid parental leave

- Short and long-term disability coverage

- Basic life insurance

- 10 paid holidays per full calendar year

- 1 floating holiday for non-exempt employees

- 1 paid day off for employee's birthday

- Paid year-end holiday shutdown

- 4 paid days off for personal wellness

- 16 days of paid vacation time per full calendar year for non-exempt employees

- Flexible vacation time off program for exempt employees

- 80 hours of sick time off provided on hire date and each January 1st thereafter

- Optional 10 paid days per full calendar year to volunteer

## Skills

### Required
- Python
- pandas
- scikit-learn
- XGBoost
- TensorFlow
- PyTorch
- data science
- machine learning
- AI agent frameworks
- data visualization

### Nice to have
- cloud-based data platforms
- Optuna
- hardware debug
- root cause analysis
- reliability engineering

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Source: [Apply at cisco.wd5.myworkdayjobs.com](https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/San-Jose-California-US/AI-Data-Scientist-Technical-Leader--Hybrid-_2028168?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)