C

Cisco

Makes networking gear and security software

AI Data Scientist Technical Leader

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USA

About the Job

Requirements

  • An MS or PhD in Computer Science, Electrical Engineering, Data Science, Statistics, or a related field is required.
  • At least 8 years of experience in data science, machine learning, or data analytics is required; experience in semiconductor or hardware engineering environments is preferred.
  • Proficiency in Python and data science libraries such as pandas, scikit-learn, XGBoost, TensorFlow, and PyTorch is required.
  • Experience building, validating, and deploying AI/ML models for classification, regression, anomaly detection, and time-series forecasting is required.
  • Hands-on experience with AI agent frameworks and automation of data analysis workflows is required.
  • A solid understanding of semiconductor manufacturing, test data, and yield analysis concepts is required.
  • Experience with data visualization tools such as matplotlib, seaborn, Tableau, or Power BI is required.

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 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 visualizations, reports, and presentations.
  • Stay current with advancements in AI/ML, data analytics, and semiconductor manufacturing practices.

Desired Qualifications

  • 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.

About the Company

Cisco

Makes networking gear and security software

Cisco makes the switches and routers that connect offices, data centers, and cloud services, and it also sells cybersecurity tools and Webex video meetings to businesses and governments. It was one of the first companies to sell routers that let different kinds of computer networks exchange data, and in 2000 it briefly became the world's most valuable company. Customers run its network gear, from Wi-Fi access points to AI data center systems, with Cisco software that sets up and secures the network, while its Splunk unit searches computer logs to catch outages and attacks. Cisco earns money from hardware sales, software subscriptions, and support contracts. It was founded in 1984 and is based in San Jose, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Jose, CA
Founded
1984

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