Applied Materials · 8 hours ago
Data Scientist & Data Analyst
Santa Clara, CA
Full-time
Onsite
Mid, Senior Level
$124K/yr - $171K/yr
3+ years expApplied Materials is a global leader in materials engineering solutions used to produce advanced chips and displays. The Data Scientist & Data Analyst will lead the development of operational data foundations and deliver insights to improve lab productivity and process velocity.
ElectronicsManufacturingSemiconductorSoftware
Responsibilities
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
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
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
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
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
Qualification
Required
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
Preferred
Semiconductor industry experience preferred
Familiarity with lab environments, experiment workflows, or operational data challenges is a strong plus
Benefits
Comprehensive benefits package
Participation in a bonus and a stock award program
Company
Applied Materials
Applied Materials is a semiconductor and display equipment company that offers materials engineering solutions.
10001+ employees
H1B Sponsorship
Applied Materials has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (435)
2024 (465)
2023 (362)
2022 (429)
2021 (456)
2020 (354)
Funding
Current Stage
Public CompanyTotal Funding
$2.1BKey Investors
Stonnington GroupUS Department of Energy
2025-02-24Post Ipo Debt· $2B
2023-06-27Post Ipo Equity· $0.38M
2022-10-19Grant· $100M
Leadership Team
Omkaram Nalamasu
Senior Vice President and Chief Technology Officer
Tony Chiang, Ph.D
VP, CTO Applied AI
Recent News
2026-01-22
2026-01-16
2026-01-16
Company data provided by crunchbase