1. Desire to grow a career as a Data Scientist, focus in productivity improvement in highly automated industrial manufacturing, doing analysis and machine learning
2. Ability to extract data from different databases and applying data cleansing, outlier identification, and missing data techniques
3. Experience in the areas: statistical modelling, feature extraction and analysis, supervised/unsupervised/semi-supervised machine learning.

Education background: Technical degree in an engineering discipline (Computer Science, Data Science, Machine Learning, AI, Mathematic or other related areas)