： 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/Machine Learning/Deep Learning/Numerical Simulation/Optimization Algorithm Models(at least one of the fields) ．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. ．Works closely with a team of data system analysts, business data analysts, data engineers, data platform architects, 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.
．Experience with any one of Machine Learning, Statistical Modeling, Deep Learning(Nature Language/Image), 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. ．Big on finding the many insights based on the data and being passionate and patient about working with complex data.
工作說明
工作縣市:新北市
上班地點:新北市土城區
工作待遇:面議
上班時段:日班,08:00~17:30
需求人數:1 ~ 2
條件要求
工作經歷:
2年以上
學歷要求:碩士
科系要求:
資訊管理相關
專長需求:
擅長工具:
Java Python
具備駕照:
其他條件:
: ．Ph.D. degree/Ph.D. Candidate would be preferred. ．(Plus)Knowledge of Big Data with Machine Learning/Statistical modeling related technologies such as Spark MLlib or pySpark or SparkR/SparklyR. ．(Plus)Knowledge of Deep Learning Framework such as TensorFlow/Caffe/Pytorch/Keras. ．(Plus)Experience in graph neural network or related fields
．2 years+ of industry experience in data science focusing on one of the areas : (1) Statistical modeling, Machine learning (2) Graph Analytics and Graph Algorithm(Graph Theory), especially Graph Neural Network(GNN), Graph Convolutional Network(GCN (3) Deep Learning(NLP/Text Mining, Image) (4) Optimization Algorithm (5) Numerical Simulation, Econometric Modeling (6) Other Quantitative Forecasting Methods
： ．2+ years of professional experience with a degree of Ph.D. /Ph.D. Candidate or 4+ years of relevant working experience with a degree of Master ．Major in Computer Science/Information Engineering/Information Management/Statistic/Applied Mathematics or related quantitative discipline (such as in a field where there is intensive training in quantitative methods, e.g., Statistics, Machine Learning, Electrical, and Computer Engineering, Economics, Physics, Industrial Engineering, Operation Research).
