Are you ready to innovate at the forefront of materials engineering? Applied Materials, a global leader in semiconductor and display equipment, is seeking a Data Scientist – Agentic AI / ML for a full-time role in Santa Clara, CA. This position offers early-career professionals a unique chance to develop and deploy cutting-edge AI solutions that impact global electronics manufacturing, contributing directly to an agile and resilient supply chain.
Job Snapshot
Company: Applied Materials
Role: Data Scientist – Agentic AI / ML
Location: Santa Clara, CA
Work Type: Full-time
Pay Range: $142,500 – $196,500 / year
🔥 DSFOR Insider Take: Why This Role Matters
This role at Applied Materials places you within the Joint Operations Leadership (JOLT) Data Science team, working for a company that’s foundational to virtually every new chip and advanced display worldwide. As an early-career Data Scientist, you’ll gain invaluable experience developing **end-to-end AI solutions**, from initial problem formulation to production deployment, tackling real-world challenges in supply chain resilience and **operational excellence**. You’ll directly contribute to driving profitability and rebuilding customer trust through **advanced analytics** and machine learning. This is a chance to apply cutting-edge Agentic AI principles in a supportive environment, accelerating your skills in a high-impact sector that connects the world through AI and IoT technologies. The hands-on involvement with critical business initiatives will set a strong foundation for a career in industrial AI and data science.
Role Overview & Responsibilities
As a Data Scientist on the JOLT team, you will collaborate with cross-functional stakeholders to leverage advanced analytics, AI, and machine learning. Your primary goal will be to drive operational excellence, optimize supply chain performance, and maximize profitability for Applied Materials.
- Formulate complex business problems into solvable data science challenges.
- Develop, build, and implement advanced AI and machine learning models, with a focus on Agentic AI.
- Drive the full lifecycle of AI solutions, from conceptualization and development to production deployment.
- Apply advanced analytical techniques to enhance supply chain agility and resilience.
- Generate data-driven insights to improve operational efficiency and maximize profitability.
- Engage in high-impact, cross-functional initiatives to address critical business needs.
- Contribute to rebuilding customer trust and reshaping supplier relationships through data-driven strategies.
Requirements
- Foundational understanding of data science principles, machine learning algorithms, and AI concepts, particularly Agentic AI.
- Ability to translate business needs into technical data science problem statements and solutions.
- Demonstrated problem-solving skills with an analytical mindset.
- Strong communication skills to collaborate effectively with diverse teams and present technical findings.
- Interest in materials engineering solutions and technologies that enable AI and IoT.
- A proactive approach to learning and developing new skills in a fast-paced environment.
📅 What to Expect
You’ll join a supportive work culture that prioritizes your learning, development, and career growth. Applied Materials empowers its team members to push boundaries and drive innovative solutions, fostering an environment where you can continuously learn and take on new challenges. Expect to work on high-impact, cross-functional initiatives, applying your skills to tangible business problems that shape the global electronics industry.
This is an on-site full-time position located in Santa Clara, CA.
🎯 Application & Resume Tips for Applied Materials
Here are targeted tips to help your application stand out for this Data Scientist role:
Highlight Agentic AI Projects: Showcase any academic projects, research, or personal work demonstrating your understanding or application of Agentic AI, reinforcement learning, or advanced autonomous systems. Even theoretical knowledge or coursework is valuable.
Connect to Industry Impact: Frame your experiences (even from school or previous internships) in terms of “operational excellence,” “supply chain optimization,” or “profitability.” Show how your data science efforts can directly impact business outcomes, mirroring the JOLT team’s goals.
Emphasize End-to-End Capability: Describe projects where you were involved from problem definition to final solution deployment. Mentioning experience with the full lifecycle of an AI solution, rather than just isolated modeling, aligns perfectly with the role’s responsibilities.
📎 How to Apply
Review the requirements above and ensure your resume reflects the key skills highlighted in this role. Applications are reviewed on a rolling basis, so applying early is strongly recommended.
👉 Click here to apply on the official Applied Materials careers page.
