Data Scientist

Are you looking to power the next leap in the exciting world of advanced electronics?Do you want to help solve problems that drive success in the rapidly evolving technology and connectivity landscape? Then bring your problem-solving, passion, and creativity to help us power the next leap in electronics.

AtQnity, we’re more than a global leader in materials and solutions for advanced electronics and high-tech industries – we’re a tight-knit team that is motivated by new possibilities, and always up for a challenge. All our dedicated teams contribute to making cutting-edge technology possible. We value forward-thinking challengers, boundary-pushers, and diverse perspectives across all our departments, because we know we play a critical role in the world enabling faster progress for all. Learn how you can start or jumpstart your career with us.

Qnity is a global leader in specialty materials that enable advanced electronic devices and semiconductor manufacturing. We are looking for a Data Scientist to join our growing Data Science, AI, and Digital Solutions team supporting our Cheonan manufacturing site.

In this role, you will work closely with stakeholders across manufacturing, quality, engineering, operations, supply chain, and business teams to solve real-world challenges using data science, machine learning, computer vision, and digital technologies.

Whether you are an early-career data scientist looking to apply your skills in an industrial environment or an experienced professional ready to deliver scalable AI solutions, we encourage you to apply.

What You'll Do

• Partner with site stakeholders to identify business challenges and improvement opportunities.
• Apply data science, machine learning, statistical modeling, and AI techniques to solve operational and manufacturing problems.
• Analyze manufacturing, quality, equipment, process, image, and business data to generate insights and recommendations.
• Develop and validate predictive models, analytical tools, dashboards, and proof-of-concept solutions.
• Support computer vision and image analytics applications for inspection and quality improvement.
• Collaborate with digital, software, and data engineering teams to deploy and scale solutions.
• Communicate findings and recommendations to both technical and non-technical audiences.

Qualifications

• Master's degree or higher in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related technical field.
• Experience applying data science, machine learning, statistics, or advanced analytics through academic research, internships, industry projects, or professional work.
• Proficiency in Python or R.
• Solid understanding of machine learning fundamentals, including data preparation, model development, validation, and performance evaluation.
• Strong foundation in statistics and data analysis.
• Basic SQL skills and experience working with structured datasets.
• Korean and English communication skills.
• Ability to learn quickly, solve problems, and work collaboratively in a cross-functional environment.

Preferred Qualifications (Nice to Have)

• Experience in manufacturing, semiconductor, chemical, materials, engineering, or industrial environments.
• Experience with computer vision, image analytics, or inspection-related applications.
• Knowledge of SPC, DOE, Six Sigma, or continuous improvement methodologies.
• Experience working with operational systems and data sources such as MES, LIMS, SCADA, Historian, or SAP.
• Familiarity with Azure, Databricks, cloud platforms, MLOps, or data engineering concepts.
• Experience improving quality, yield, equipment reliability, operational efficiency, or production performance through data-driven approaches.
• Exposure to Generative AI, Large Language Models (LLMs), AI agents, copilots, or workflow automation solutions.

Why Join Qnity?

• Work on high-impact projects that directly improve manufacturing and business performance.
• Apply AI and data science to real-world challenges in advanced materials and semiconductor technologies.
• Collaborate with cross-functional experts across engineering, operations, and business functions.
• Grow your technical and business expertise in a global organization committed to innovation.

Early-career candidates with strong analytical foundations and a passion for applying data science to real-world industrial challenges are encouraged to apply.

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Qnity is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information.

Qnity offers a comprehensive pay and benefits package. To learn more visit theCompensation and Benefits page.

We use Artificial Intelligence (AI) to enhance our recruitment process.