Data scientist data analyst

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

Salary:

$124,000.00 - $171,000.00

Location:

Santa Clara,CA

You’ll 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 possible—while 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. We’re 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.

Overview

The EPIC Center’s success depends on high‑quality 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 EPIC’s operational data foundation and deliver insights that enable measurable improvements in lab productivity, experiment throughput, resource efficiency, and end‑to‑end 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 end‑to‑end 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 real‑time 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.

AI‑Enabled Lab Operations & Automation

• Contribute to development of AI‑assisted operational workflows, including agents for optimization and automated insights.
• Identify opportunities for automation and machine‑learning‑driven recommendations across lab operations.

Cross‑Functional 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

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, or related field.
• 3–7 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 non‑technical audiences.
• Semiconductor industry experience preferred.
• Familiarity with lab environments, experiment workflows, or operational data challenges is a strong plus.

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

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 members. In 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 [email protected], or by calling our HR Direct Help Line at 877-612-7547, 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.