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.
At Qnity, 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.
This position will be at Qnity’s Dayuan Site, Taiwan. This is an exciting opportunity to join a growing team that plays a vital and dynamic role in the company’s R&D department.
A strong candidate will have hands-on experience in data science practices such as data cleaning, regression, and building machine learning and computer vision models. The applicant should have fluent coding skills in Python, with the ability to build databases, prepare data for analysis, develop and validate models, create descriptive plots and reports, and communicate methods and results to business partners. Beyond these technical skills, the job requires an organized worker who can solve challenging problems with a series of logical steps, collaborate with our data engineering/data science/R&D teams to query data and deploy solutions, and continuously improve data quality and usability.
Work with equipment/production vendors and engineering teams to connect equipment data sources and build reliable data ingestion pipelines to store parameters and process signals into centralized databases for downstream analytics and model deployment.
Qualifications:
- MS degree+ (or equivalent experience) in Mechanical Engineering, Computer Science, Industrial Engineering, Electrical Engineering, Materials Science, Applied Math/Statistics, Data Science, or a related science & engineering field; or 2+ years of relevant industry experience
- Strong coding skills in Python including data preparation, regression, plotting, and implementing basic machine learning or supervised computer vision models (e.g., clustering, classification)
- Basic knowledge of statistics and quality methods (e.g., regression fundamentals, hypothesis testing basics, SPC, and quality checks); DOE and quality engineering experience is a plus
- Working knowledge of SQL and basic NoSQL (e.g., MongoDB) queries; experience designing/building databases and data schemas for centralized storage and reliable analytics (e.g., data lake/warehouse)
- Familiarity with acquiring equipment/process parameters from industrial systems (e.g., OPC UA, PLC/SCADA tags, or vendor APIs) and landing the data into a database
- Research experience in applying data science to solve business, engineering, or scientific problems
- Self-learning with the intellectual curiosity to keep abreast of advances in the field, grow data science expertise, and refine grasp of internal business operations over time
- Effective interpersonal skills for communicating technical concepts to non-experts, collaborating with team members, and confidently presenting data analysis results to internal clients
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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 the Compensation and Benefits page.
We use Artificial Intelligence (AI) to enhance our recruitment process.
Skills Required
- MS degree or equivalent experience, or 2+ years of relevant industry experience
- Strong coding skills in Python for data preparation, regression, plotting, and implementing ML or supervised computer vision models
- Working knowledge of SQL and basic NoSQL (e.g., MongoDB) queries
- Experience designing/building databases and data schemas for centralized storage (data lake/warehouse)
- Familiarity with acquiring equipment/process data from industrial systems (e.g., OPC UA, PLC/SCADA tags, vendor APIs)
- Experience building reliable data ingestion pipelines and landing process signals into databases for analytics and model deployment
- Basic knowledge of statistics and quality methods (regression fundamentals, hypothesis testing, SPC, quality checks)
- DOE and quality engineering experience
- Research experience applying data science to business, engineering, or scientific problems
- Effective interpersonal and communication skills to present technical concepts and results to non-experts
- Self-directed learning and intellectual curiosity to grow data science expertise and understand internal business operations
Qnity Electronics, Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qnity Electronics, Inc. and has not been reviewed or approved by Qnity Electronics, Inc..
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Strong & Reliable Incentives — Performance-based bonus plans tied to individual and company results are a core part of the package. Feedback suggests these incentives are positioned as competitive and, in some roles, experienced as meaningful.
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Retirement Support — Retirement savings options are portrayed as strong, including a 401(k) with employer contributions. Some disclosures indicate automatic company contributions, reinforcing long-term financial support.
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Healthcare Strength — Medical, dental, vision, life, and disability coverage are presented as comprehensive with additional wellbeing programs and day-one eligibility signals. This breadth is framed to support physical and financial wellbeing.
Qnity Electronics, Inc. Insights
What We Do
Qnity Electronics, Inc. is a premier technology provider across the semiconductor and advanced electronics value chain. It specializes in providing high-performance materials and integration expertise to enable breakthroughs in AI, high-performance computing, and advanced connectivity. Its offerings range from semiconductor chip manufacturing solutions to high-speed transmission materials for complex electronic systems, serving as a critical partner in the global electronics ecosystem.
