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Data Scientist - Smart Factory

at Applied Materials in Singapore, SG

Work Type: On Premise | Employment Type: Full Time

Experience Level: Mid Level | Posted Date: 2025-04-12

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Description

Who We Are

Applied Materials is the 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 work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible® a Better Future. 

What We Offer

Location:

Singapore,SGP

At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. 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. 

You’ll also 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 about careers at Applied.

Data Analyst/Scientist/Visualization

In the framework of our Smart Factory initiative, we are looking for a data scientist that will help us better utilize the information hidden in vast amounts of data, help us make faster and smarter decisions to deliver even better value to our business operations. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our systems (AI and ML). The role will be about understanding the business constraints, applying those to the raw data coming from our SAP and other systems (Production Control tools, MES), creating alerts and predictive analysis, and finally creating the right visualization and dashboards for the various user communities.

Responsibilities

• Understanding data sources, data bases, tables, fields
• Performing data mining
• Querying data bases and extracting source data
• Connecting various and distinct data sources as needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity and accuracy of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
• Creating front end visualization
• Creating dashboards
• Selecting features, building and optimizing prediction models using machine learning techniques
• Creating automated anomaly detection systems and constant tracking of its performance

Skills and Qualifications

• Good communication skills
• Minimum 3 years’ experience in similar roles
• Proven analytics experience within a Manufacturing environment
• Proficiency in using query languages such as SQL
• Practical experience with data lake like Hadoop
• Experience with data visualization tools and dashboards, such as Tableau, etc.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Practical experience in deploying AI and/or ML models, and excellent understanding of machine learning techniques and algorithm
• Data-oriented personality

Functional Knowledge

• Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines

Business Expertise

• Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market

Leadership

• Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements

Problem Solving

• Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information

Impact

• Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies

Interpersonal Skills

• Explains difficult or sensitive information; works to build consensus

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Not Specified

Relocation Eligible:

No

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.