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
Solid 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
Solid 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