Data ScientistWEDO - Digital Office SCG Cement-Building Materials Co., Ltd.

Job Description
* Develop Data mining solution using state-of-the-art methods according to Business Requirement
* Explain Data Mining results or relationships between features to the business users or MIS & Analytics
* Process, clean, and verify the integrity of data used for analysis and provide data preparation algorithm to data engineer in order to implement project's production
* Perform ad-hoc analysis and presenting results in a timely fashion and clear manner
* Explore Opportunity to propose data mining methodology to solve key business challenges
* Explore new data mining techniques and tools that help tackle business requirement
Develop Data mining solution using state-of-the-art methods according to Business Requirement Explain Data Mining results or relationships between features to the business users or MIS & Analytics Process, clean, and verify the integrity of data used for analysis and provide data preparation algorithm to data engineer in order to implement project's production Perform ad-hoc analysis and presenting results in a timely fashion and clear manner Explore Opportunity to propose data mining methodology to solve key business challenges Explore new data mining techniques and tools that help tackle business requirementDevelop Data mining solution using state-of-the-art methods according to Business RequiDevelop Data mining solution using state-of-the-art methods according to Business Requirement Explain Data Mining results or relationships between features to the business users or MIS & Analytics Process, clean, and verify the integrity of data used for analysis and provide data preparation algorithm to data engineer in order to implement project's production Perform ad-hoc analysis and presenting results in a timely fashion and clear manner Explore Opportunity to propose data mining methodology to solve key business challenges Explore new data mining techniques and tools that help tackle business requirement
Skills
* Strong Data Mining techniques, such as classification, clustering, anomaly or outlier detection, regression analysis, text mining, Optimization, etc.
* Strong Machine Learning algorithms and methodologies, such as Neural Networks, Naïve Bayes, Random Forest, Support Vector Machine, Linear Regression, ensemble voting classifier, features selection, Local Interpretable Model-Agnostic Explanations (LIME), etc.
* Strong applied statistics skills, such as distributions, statistical testing, design of experiments, regression, etc.
* Experience in using query languages such as SQL, Hive, Pig
* Strong scripting and programming skills, such as R, Python, Matlab, etc. Data-oriented personality