Logistics Data Scientist
Intel Technology Sdn Bhd
Malaysia - Penang - Bayan Lepas, Malaysia
2 hari yang lepas
source : Wisdom Jobs

Senior Logistics Data Analyst works as an individual contributor with duties span across Supply Chain - Logistics problem definition solution path finding and working with project teams on solution implementations capitalizing on data Responsibilities include Interpret data analyze results using statistical techniques and provide ongoing reports Developing and implementing data analyses data collection systems and other strategies that optimize statistical efficiency and quality Acquiring data from primary or secondary data sources and maintaining databases Conducting full lifecycle analysis to include requirements activities and design Data analysts will develop analysis and reporting capabilities They will also monitor performance and quality control plans to identify improvements Identify analyze and interpret trends or patterns in complex data sets Work with management to prioritize business and information needs Locate and define new process improvement opportunities Involvement in building validating and exercising mathematically based decision algorithms for example linear programming simulation models or statistical analysis This includes the ability to identify root causes of business problems and synthesize effective practical solution approaches formulate and encode algorithms and evaluate the results of executing various what-

ifs Uses predictive modeling statistics Machine Learning Data Mining and other data analysis techniques to collect explore and extract insights from structure and unstructured data Develop software algorithms and applications to apply mathematics to data perform large scale experimentation and build data driven apps to translate data into intelligence solve a variety of business problems and enable business strategy Assists business with casual inferences observations with finding patterns relationships in data Must possess strong understanding of internal business segment stakeholders and possess strong written and communication skills Typically requires expertise in relational database structures research methods machine learning Cloud based technologies Big Data technologies i e Hadoop HBase Lucene Solr analytics packages i e R Mahout Matlab Octave Weka scripting languages i e Python Perl programing languages i e Java C C SQL Qualifications Possess a BSc MSc or PhD in Mathematical branches such as Mathematics Economics Computer Science Information Management Statistics or Industrial Engineering best with exposures to Supply Chain Management Logistics APICS CPIM certified is preferred Strong analytical and problem solving skills are a must Have a good working knowledge in the area of supply chain inventory management logistics business processes procurement and customer service support Experience and knowledge of supply chain processes and optimization tools 1-

3 yrs or as a data analyst or business data analyst is preferred Familiarity with commercial decision support tools e g ILOG CPLEX and Visual C or C programming is an advantage Technical expertise regarding data models database design development data mining and segmentation techniques Strong knowledge of and experience with reporting packages Business Objects etc databases SQL etc programming XML Javascript or ETL frameworks Knowledge of statistics and experience using statistical packages for analyzing datasets Excel SPSS SAS Ability to work independently and exercise good judgment coupled with initiative and in an organized manner with minimal supervision in an ambiguous environment A committed team player

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