Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips the brains of devices we use every day. As the foundation of the global electronics industry Applied enables the exciting technologies that literally connect our world like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology join us to deliver material innovation that changes the world.

What We Offer

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Youll benefit from a supportive work culture that encourages you to learn develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possiblewhile learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials we care about the health and wellbeing of our employees. Were committed to providing programs and support that encourage personal and professional growth and care for you at work at home or wherever you may go. Learn more about our benefits.

The EPIC Centers success depends on highquality operational data unified data models measurable velocity metrics and advanced analytics that accelerate R&D and lab execution. We are seeking a Data Scientist & Data Analyst to lead the development of EPICs operational data foundation and deliver insights that enable measurable improvements in lab productivity experiment throughput resource efficiency and endtoend process velocity.

Key Responsibilities

Operational Data Foundation & Modeling

• Develop and maintain conceptual logical and operational data models for lab operations experiments equipment materials metrology and supporting workflows.
• Identify data gaps and fragmentation across systems workflows and sources; propose solutions to improve data completeness consistency and quality.
• Define and refine threading keys required for endtoend visibility and velocity measurement across lab processes.
• Build structured datasets that enable measurement of cycle time productivity utilization and other operational KPIs.

Analytics Insights & Decision Support

• Analyze operational workflows and experiment cycles to identify bottlenecks inefficiencies and opportunities for acceleration.
• Build dashboards reports and analytical tools that provide realtime visibility into lab performance and velocity metrics.
• Apply data science statistical modeling and predictive analytics to support continuous improvement and scenario analysis.
• Support leaders with insights that influence strategic decisions resource planning and operational design.

AIEnabled Lab Operations & Automation

• Contribute to development of AIassisted operational workflows including agents for optimization and automated insights.
• Identify opportunities for automation and machinelearningdriven recommendations across lab operations.

CrossFunctional Collaboration

• Work closely with lab operations engineering R&D logistics facilities and system owners to understand data needs and operational context.
• Collaborate with information system owners and technical teams to ensure analytics requirements shape data architecture and system design.
• Partner with transformation and business process teams to integrate analytics into redesign efforts.

Measurement Frameworks & Velocity Metrics

• Define and maintain frameworks that measure velocity productivity and throughput across lab processes.
• Develop methods to quantify improvements from system changes workflow redesign and operational interventions.
• Support creation of baseline measurement dashboards and KPIs for EPIC workflows.

Qualifications

• Bachelors or Masters degree in Data Science Computer Science Engineering Statistics or related field.
• 37 years of experience in data analytics data science or operational analytics preferably in a technical or R&D environment.
• Strong skills in data modeling statistical analysis and translating operational workflows into structured datasets.
• Proficiency with data analysis tools (Python R SQL) and visualization platforms.
• Experience building dashboards models and analytics that support operations productivity or process optimization.
• Ability to communicate insights clearly to technical and nontechnical audiences.
• Semiconductor industry experience preferred.
• Familiarity with lab environments experiment workflows or operational data challenges is a strong plus.

Additional Information

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The salary offered to a selected candidate will be based on multiple factors including location hire grade job-related knowledge skills experience and with consideration of internal equity of our current team addition to a comprehensive benefits package candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program as applicable.

For all sales roles the posted salary range is the Target Total Cash (TTC) range for the role which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race color national origin citizenship ancestry religion creed sex sexual orientation gender identity age disability veteran or military status or any other basis prohibited by law.

In addition Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process please contact us via e-mail at or by calling our HR Direct Help Line at option 1 and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.