數據科學家(統計) Data Scientist(Statistician) (Data Science & AI Team)

Job description

Responsibilities

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). ：

• 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
• 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