Senior Data Scientist – ML for Semiconductor Ops

Samsung Electronics America; Taylor (TX); On-site; USD 90,000 - 175,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) matching with immediate vesting

Onsite café(s) and workout facilities

Paid maternity and paternity leave

PTO and holidays

Job summary

Samsung Austin Semiconductor in Taylor, TX is seeking a Senior Data Scientist to build and deploy ML systems that improve semiconductor manufacturing. You will own data preparation, model selection, deployment, monitoring, and ongoing tuning, focusing on anomaly detection and virtual metrology.

You’ll work with process engineers and data scientists in a sprint-driven team. Preferred candidates have strong Python/SQL skills and experience with ML pipelines; semiconductor background is helpful but

Qualifications

• 5+ years of professional experience designing, training, and deploying machine learning models.
• Solid working knowledge of regression, classification, ensemble methods, feature engineering, and model evaluation metrics.
• Advanced proficiency in Python for data analysis and modeling, plus strong SQL skills for extracting and transforming large datasets.
• Experience building and maintaining ML pipelines for experiment tracking, model versioning, automated retraining, and live performance monitoring.

Responsibilities

• Build supervised machine learning models for anomaly detection using high-frequency tabular and time-series data.
• Enhance data collection and processing workflows to create robust test datasets for model accuracy.
• Design, train, and iterate on predictive models integrating various process and quality data sources.
• Engineer features from continuous time-series streams and handle missing or sparse data.
• Manage the full modeling workflow including cross-validation, hyperparameter tuning, and automated retraining schedules.
• Set statistical benchmarks for model performance and monitor deployed models in production.
• Communicate complex findings to data scientists and process engineers.

Skills

Python for data analysis

SQL

ML pipelines

Model evaluation

Feature engineering

Education

Bachelor’s degree or higher in Data Science, Statistics, Computer Science, Physics, or related

Tools

PySpark

Job description

Samsung Austin Semiconductor in Taylor, TX is seeking a Senior Data Scientist to build and deploy ML systems that improve semiconductor manufacturing. You will own data preparation, model selection, deployment, monitoring, and ongoing tuning, focusing on anomaly detection and virtual metrology.

You’ll work with process engineers and data scientists in a sprint-driven team. Preferred candidates have strong Python/SQL skills and experience with ML pipelines; semiconductor background is helpful but