Data Scientist (Machine Learning Specialist) - SCG Packaging

Job Summary:

• Applying machine learning techniques to identify new business opportunities and process improvement using computer vision. Machine learning projects may come from both requirements from internal customers and initiatives from the data science team itself. A candidate may be required to work in the field occasionally if a project is related to a process at operational level.

Responsibilities:

• Identify opportunities for new business / new customers / improvement across SCG Packaging using machine learning/ computer vision
• Create a course of recommended actions based on knowledge obtained from machine learning/computer vision
• Follow up and refine the model by collaborating with related parties until achieving the target result

Qualifications:

• Bachelor / Master/ or Ph.D. in Computer Science/ Computer Engineering/ Electrical Engineering / Statistics / Applied Mathematics / Industrial Engineering with specialization in Machine Learning or related (ฺBachelor G.P.A. > 2.70, Master G.P.A. > 3.30)
• Proficient in English (TOEIC > 550)
• Knowledge of statistical techniques and concepts such as regression, time series analysis, statistical distribution, statistical tests.
• Knowledge and experience in training and apply Machine & Deep Learning algorithms to solve complex problems
• Experience using Python, SQL to process data to draw insights from datasets (PySpark to process big data is a plus)
• Experience in one of the Deep Learning languages: Tensorflow, Pytorch, Mxnet
• Experience in computer vision and image processing is a must
• Experience in edge computing architecture relevant to computer vision
• Experience using MLOps tools such as Kubeflow, MLFlow, or Sagemaker is a plus
• Experience working in manufacturing and full-stack data science deployment experience. 
• Experience in solving manufacturing problems related operations, quality and supply chain using ML and DL is a plus 
• Positive attitude, Growth Mindset,  Eager to learn, and Service mind
• Able to work upcountry occasionally