In your new role you will:Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.Mine and analyze data from company databases to drive optimization and improvement of process and equipment developmentAssess the effectiveness and accuracy of new data sources and data gathering techniques.Develop custom data models and algorithms to apply to data sets.Use predictive modeling to increase and optimize quality, performance and speed of test process and equipmentCoordinate with different functional teams to implement models and monitor outcomes.Develop processes and tools to monitor and analyze model performance and data accuracy You are best equipped for this task if you have:BSc/MSc in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferredHaving atleast 3 years of working experience in related fieldExperience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.Coding knowledge and experience with VBA, C, C++, etc is an added advantageExperience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Contact No details entered Actions I am interested and would like to apply Back