Manufacturing Data Scientist - AI, Optimization & Simulation

Applied Materials, Inc.; Eindhoven; Híbrido; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Applied Materials, Inc. is seeking a Data Scientist to develop data-driven insights, predictive models, and optimization solutions for semiconductor manufacturing operations.

You will collaborate with customers and domain experts to transform large-scale data into actionable recommendations and intelligent decision-support tools. The role involves statistical analysis, machine learning, optimization, and simulation, with opportunities to contribute to both customer projects and internal

Formación

• Strong foundation in statistics, mathematics, and data analysis.
• Experience developing predictive and analytical models.
• Strong Python programming skills.
• Hands-on experience with Pandas, Polars, NumPy, Scikit-learn, and related tools.
• Experience with feature engineering, exploratory analysis, and model evaluation.
• Understanding of optimization techniques, statistics, experimentation, and hypothesis testing.
• Strong problem-solving and analytical thinking.
• Ability to communicate technical concepts to diverse stakeholders.

Responsabilidades

• Analyze datasets from manufacturing and simulation to derive actionable insights.
• Develop predictive models for forecasting, classification, and anomaly detection.
• Design experiments and validate model effectiveness and business impact.
• Collaborate with customers and engineers to translate findings into recommendations.
• Contribute to hybrid analytics and simulation solutions for manufacturing intelligence.

Conocimientos

Statistics

Python

Pandas

NumPy

Scikit-learn

EDA

Optimization

Communication

Herramientas

Pandas

Polars

NumPy

Scikit-learn

DES

Descripción del empleo

Applied Materials, Inc. is seeking a Data Scientist to develop data-driven insights, predictive models, and optimization solutions for semiconductor manufacturing operations.

You will collaborate with customers and domain experts to transform large-scale data into actionable recommendations and intelligent decision-support tools. The role involves statistical analysis, machine learning, optimization, and simulation, with opportunities to contribute to both customer projects and internal