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Data Scientist
Applied Materials. Collect, process, and analyze manufacturing, simulation, and operational datasets .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical modeling, data analysis, and predictive analytics to drive operational improvements in manufacturing environments. Proficient in translating complex analytical findings into actionable business recommendations while collaborating effectively with diverse stakeholders.
Highest-signal resume keywords
Statistical ModelingPredictive AnalyticsPython ProgrammingData AnalysisDiscrete-Event Simulation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
StatisticsMathematicsData AnalysisFeature EngineeringExploratory AnalysisModel EvaluationOptimization TechniquesHypothesis TestingMachine LearningSimulation Technologies
Soft Skills
Problem-SolvingAnalytical ThinkingCommunication
Tools & Technologies
PandasPolarsNumPyScikit-learnMLOps
Industry Keywords
ManufacturingSchedulingSupply ChainIndustrial SystemsSemiconductor Manufacturing
Tech Stack
Tools & technologiesNumpyPandasPythonScikit-Learn
About the role
Key responsibilities & impact- Collect, process, and analyze manufacturing, simulation, and operational datasets
- Perform exploratory data analysis to identify trends, bottlenecks, anomalies, and improvement opportunities
- Develop statistical models and analytical frameworks for operational decision making
- Translate analytical findings into business recommendations
- Design, develop, and validate predictive models for forecasting, classification, anomaly detection, and optimization
- Apply operations research, statistical learning, and optimization techniques to manufacturing challenges
- Develop hybrid solutions combining analytics, machine learning, and simulation
- Design experiments and analyze results to validate model effectiveness and business impact
- Work with discrete-event simulation technologies to evaluate manufacturing scenarios and operational strategies
- Analyze simulation outputs with historical operational data
- Develop methodologies improving planning, scheduling, resource utilization, and factory performance
- Collaborate with customers, domain experts, and project teams to understand business requirements
- Present findings and recommendations to technical and non-technical audiences
- Document datasets, methodologies, experiments, and conclusions
- Contribute to customer workshops, solution design sessions, and project reviews
- Evaluate emerging data science, statistics, optimization, and applied machine learning methodologies
- Support research initiatives focused on manufacturing intelligence and decision-support technologies
Requirements
What you’ll need- 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 analytical tooling
- Experience with feature engineering, exploratory analysis, and model evaluation
- Understanding of optimization techniques, statistical experimentation, and hypothesis testing
- Strong problem-solving and analytical thinking skills
- Ability to communicate technical concepts to diverse stakeholders
- Preferred: Experience with discrete-event simulation or operations research
- Preferred: Experience with manufacturing, scheduling, supply chain, or industrial systems
- Preferred: Familiarity with machine learning deployment and MLOps concepts
- Preferred: Experience working with high-dimensional or time-series datasets
- Preferred: Knowledge of semiconductor manufacturing or advanced industrial environments
Benefits
Comp & perks- Supportive work culture encouraging learning, development, and career growth
- Comprehensive benefits package
- Health and wellbeing programs and support
- Personal and professional growth support
- Potential eligibility for bonus compensation
- Potential eligibility for stock award program
- 20% travel
- Relocation not eligible