Senior Data Scientist

What you'll do

• Develop and validate models using high-frequency time-series and tabular manufacturing data, including feature engineering and data preparation.
• Manage the model lifecycle, including deployment, monitoring, experiment tracking, versioning, and retraining.
• Communicate findings to data scientists and process engineers and improve data collection and processing workflows.

What they ask for

• Bachelor’s degree or higher in Data Science, Statistics, Computer Science, Physics, or a related quantitative field.
• 5+ years of professional experience designing, training, and deploying machine learning models.
• Working knowledge of regression, classification, ensemble methods, feature engineering, and model evaluation metrics.
• Advanced Python proficiency, strong SQL skills, and experience maintaining ML pipelines.

Nice to have

• Master’s or PhD.
• PySpark experience; experience with tabular-data methods, model interpretability such as SHAP, or Agile engineering collaboration.

Pay

$90,000 - $174,500 USD base salary

Tools

Python, SQL, PySpark, SHAP

AI focus

Machine learning for semiconductor manufacturing, including anomaly detection, root cause analysis, and virtual metrology.