Job Requirements

About the Role

We are seeking a Data Scientist with 5+ years of experience to develop machine learning solutions for failure prediction, classification, and fault analysis in semiconductor manufacturing and equipment systems. This role focuses on time-series modeling, equipment health monitoring, and root-cause analysis using structured reliability methods such as fault tree analysis (FTA).

You will work with complex, high-volume data from semiconductor tools (sensor signals, logs, process data) to improve tool uptime, yield, and operational reliability.

Key Responsibilities

- Design, develop, and deploy machine learning models for equipment failure prediction and fault classification
- Analyze time-series data from semiconductor tools (sensor telemetry, logs, process traces)
- Perform advanced feature engineering (lags, rolling windows, trends, seasonality, event-based features)
- Apply fault tree analysis (FTA) concepts to support root-cause analysis and improve model interpretability
- Collaborate with process engineers, equipment engineers, and failure analysis teams
- Select, justify, and evaluate appropriate ML algorithms




- Validate models using metrics such as precision/recall, F1-score, ROC-AUC, and early failure detection accuracy
- Document models, assumptions, and results for technical and cross-functional stakeholders
- Mentor junior data scientists and contribute to best practices

Work Experience

- 5+ years of qualified experience as a Data Scientist or Machine Learning Engineer
- Strong proficiency in Python (Pandas, NumPy, scikit-learn)
- Proven experience with time-series data modeling
- Hands-on experience building classification and predictive models
- Experience with failure prediction, reliability analytics, or equipment health monitoring
- Working knowledge of fault tree analysis (FTA) or structured root-cause analysis
- Strong feature engineering skills for noisy, real-world industrial data
- Ability to clearly communicate technical results to engineering stakeholders

Representative Tech Stack

- Python (Pandas, NumPy, scikit-learn)
- Time-series analysis libraries
- Machine learning frameworks
- Visualization and reporting tools

📌 Data Scientist (Chennai)
🏢 Quest Global
📍 Chennai