Day To Day Responsibilities
- Develop digital platforms and tools to enhance product quality and operational efficiency, including programming for procedure workflows and image recognition.
- Operate and continuously improve existing digital solutions.
- Work with data pipelines to support analytics model utilization.
- Assist in evaluating statistical and machine learning models to validate analytics results.
- Support testing and improving the accuracy of machine learning models.
- Create visualizations and dashboards to help the company interpret data and make informed decisions.
- Provide data-driven recommendations to the engineering team.
- Collaborate with cross-functional teams (Manufacturing, Quality, IT, etc.) to identify opportunities, develop data-driven solutions, and deploy them in production.
Education & Experience
- B.S or above degree in Statistic, Mathematics, Computer Science, Information Management, Industrial Engineering or related
- Have Quality dept experience is plus.
Required Skills
- Basic understanding of data analysis techniques and theorems, including statistics, machine learning, and deep learning.
- Basic proficiency in Python and SQL programming.
- Experience or familiarity with computer vision (e.g., CNNs, YOLO) and web frameworks (e.g., Flask, Streamlit, Django) is preferred.
- Experience with HTML, JavaScript, CSS, and jQuery is a plus.
- Good English comprehension in speaking, writing, and reading.
- Proactive self-learning capability in a high-dynamic working environment.
Desired Skills & Soft Skills
- Project management
- Lean management
- 6 sigma project experience, GB/BB belt certification is a plus.
- Strategic and systems thinking
- Structured problem-solving experience and skill.
- Strong execution and time management; drives closure.
- Inclusive, cross-cultural collaborator with clear global communication.
- Cross-functional facilitation and stakeholder influence.