This role would participate into the development of mathematical optimization methods applying to improve the planning efficiency and production capacity of TCL manufacturing. You will face complex large-scale production lines, working with valuable challenge tasks such as Master Production Scheduling (MPS), Advanced Planning and Scheduling (APS), 3D Bin Packing, etc.
If you are major in applied mathematics, operations research, management science or other applied sciences, and interested in applying optimization and data analytics techniques to lift revenue, feel free to deliver your resume to us.

Job responsibilities:
1. Perform mathematical modeling to describe complex business requirements;
2. Apply various mathematical optimization techniques to design optimal and near-optimal algorithms.
3. Committed to the development and deployment of optimization models/algorithms at various stages.

job requirements:
1. Master or Ph.D degree with strong mathematical modeling and algorithm skills in engineering, operations research and optimization, computer and other applied sciences.
2. Familiar with various types of operational research optimization models, understand the usage scenarios and computing efficiency of each model, and be able to select appropriate algorithm models to meet customer needs;
3. Have a certain engineering ability, can abstract and standardize models, algorithms, and scenarios, and have the ability to wrap code;
4. Specialize in at least one of the following programming languages ​​(C/C++, C#, Java, Python).
5. Have strong communication skills, learning ability, self-driving ability, sense of responsibility and teamwork ability.

TCL is one of the world’s leading manufacturers of consumer electronic products, engaged in research & development, manufacturing and sales of TV and audio-video products with a global distribution sales network.