＜About the job＞：
The Data Science & AI team of headquarter IT is developing the frontier and practical analytic technologies that enhance the data value. As the data scientist, you‘ll join the AI/Big Data Analytics program/projects related to management topics, including Commercial/Industrial Engineering/Supply Chain/Financial Performance/Operation...etc., to build the model or algorithm to empower data-driven & analytics-driven for driving business value from data insights in this world-class company (Fortune Global 500, 22nd).
＜Job Description＞：
•Design, implement and refine advanced Statistical Modeling/Algorithm Models
•Ensure alignment of modeling initiatives with the requirement goal defined by key stakeholders and company objectives and identify new hypotheses for model improvements.
•Executing big data analysis and predictive analytics projects include feature engineering, model building, algorithm development, etc.
•Collaborate effectively with team members, whether leading tasks or supporting initiatives led by others.
•Self-motivated, Result-oriented, and interested in applying quantitative methods to solving business and engineering problems.
•Able to use the cutting-edge technologies to solve the practical problems
＜Skills＞
•Experience with any one of Machine Learning, Statistical Modeling, Deep Learning, Econometric Modeling, Optimization Algorithm(OR), Numerical Simulation..., etc., model/algorithm building of the practical application in the industry.
•Familiarity with programming languages like Python or R, or Java. (Good programming skills in Python is a plus).
•Advanced ability to perform Exploratory Data Analysis and working knowledge of statistics.
•Ability to visualize data in the most effective way possible for a given task, especially visualize models and results and debug and troubleshoot code and models.
•Experience in setting up supervised & unsupervised learning models including data cleaning, data analytics, feature creation, model selection, performance metrics & visualization
