Position Objective:
Working knowledge of statistics, mathematics, and data science programming languages (e.g., SQL, Python). Primary responsibilities will be performing statistical analysis, running custom SQL queries, and identifying patterns and trends that can improve our products, process & quality. Also expected to maintain and improve our data infrastructure and tools.
Job Description
- Perform advanced data mining, exploration, and statistical analysis on manufacturing and operational datasets
- Design, develop, and maintain production-grade dashboards, reports, and visual analytics to support decision-making and performance tracking
- Design, train, deploy, and maintain machine learning models, including deep learning for real-time use cases
- Bridge proof-of-concept to production by implementing scalable AI/ML pipelines
- Collaborate with process experts and stakeholders to promote innovation within the analytics platform
- Develop and maintain user interfaces that integrate AI capabilities into user-centric applications
- Support plant wide SQL query on any urgent quality complaint, product issue and I4.0 project
- Any other duties or responsibility assigned by the superior from time to time
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Qualification
- Bachelor's or Master's degree in data science, data analytics, or any other related field
- Experience with data visualization tools such as Tableau, Power BI & etc
- Expertise in data mining and machine learning
- Working knowledge in statistical models or Minitab / SPC
- Familiarity with cloud-based infrastructure
- Ability to store and process unstructured data with NoSQL databases and machine learning models
