Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. 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. As a Data Scientist, you will develop data-driven insights, predictive models, and optimization solutions that improve semiconductor manufacturing operations. You will work closely with customers, domain experts, and engineering teams to transform large-scale manufacturing and simulation data into actionable recommendations and intelligent decision-support capabilities.
The role combines statistical analysis, machine learning, optimization, simulation, and experimentation. You will contribute to both customer projects and internal innovation efforts while helping bridge the gap between business challenges and technical solutions.




Data Analysis & Insights
Perform exploratory data analysis (EDA) to identify trends, bottlenecks, anomalies, and opportunities for improvement.
Apply operations research, statistical learning, and optimization techniques to solve manufacturing challenges.
Contribute to hybrid solutions that combine analytics, machine learning, and simulation technologies.
Design experiments and perform rigorous analysis to validate model effectiveness and business impact.
Simulation & Manufacturing Intelligence
Analyze simulation outputs and combine them with historical operational data.
Develop methodologies that improve planning, scheduling, resource utilization, and factory performance.
Work directly with customers, domain experts, and project teams to understand business requirements.
Present technical findings and recommendations to both technical and non-technical audiences.
Contribute to customer workshops, solution design sessions, and project reviews.
Stay current with developments in data science, statistics, optimization, and applied machine learning.
Support research initiatives focused on manufacturing intelligence and decision-support technologies.
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.
Experience with discrete-event simulation or operations research.
Experience with manufacturing, scheduling, supply chain, or industrial systems.
Familiarity with machine learning deployment and MLOps concepts.
Experience working with high-dimensional or time-series datasets.
Knowledge of semiconductor manufacturing or advanced industrial environments.
Experience - 8+ Years
You will be joining a highly experienced team of data scientists, AI engineers, software developers, and cloud architects, many with over a decade of experience delivering innovative solutions across multiple industries. Our work spans embedded software, renewable energy optimization, advanced scheduling systems, and AI-driven decision support platforms for multi-billion-dollar semiconductor fabrication facilities.
You'll face current challenges, learn continuously, and contribute to solving some of the most difficult problems in industrial AI and optimization. Full time
Travel:
Relocation Eligible:
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.

📌 Senior Data Scientist (AI/ML) (Bengaluru)
🏢 Applied Materials South East Asia Pte
📍 Bengaluru