7+ years of practical experience with data science / processing and analytics
Experience in Manufacturing domain: smart manufacturing / smart factory / Industry 4.0 / OEE (overall equipment efficiency)
Project Lead experience: ability to connect with different teams in an organization and lead to success.
Ability to help the different teams to achieve success.
Predictive maintenance & Parts Management, using AI / ML (machine learning) on the manufacturing line that contains Robots
Ability to sift through data, identify critical information, analyze, develop hypothesis and make recommendations to broader audience required
Experience developing and running simulation, optimization, and what-if scenario planning tools to support decision making
Experience building and maintaining predictive and/or prescriptive models in production at enterprise scale
Excellent written and verbal communication skills in English language, including ability to develop and deliver presentation.
Advance Knowledge and engineering skills in (Cloud) big data & database technologies, data management & data pipeline development
Experience with Microsoft Azure stack (Azure Data Warehouse, Databricks, Azure Analysis Services, Power BI) is an advantage
Advanced degree, applicable certification, or equivalent experience in Operations Research, Management Science, Industrial and Systems Engineering, Statistics, Mathematics, Economics, Computer Science or related field
Major Responsibilities
Design and develop algorithms and models to use against large datasets to create business insights. Incorporate business knowledge into solution approach by trustful collaboration with internal customers and cross-functional teams
Lead Data Science & Analytics projects & initiatives and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Prepare reports, updates and presentations related to progress made on a project or solution
Effectively communicate insights, recommendations and its impact to both technical and non-technical leaders and business partners
Participate in establishing and continuously improving Magna’s data science practice by developing replicable solutions (e.g. codified data products, recipes, project documentation, process flowcharts)
Seek further knowledge on key developments within data science, technical skill sets, and additional data sources