Data Scientist

Job Description:

• 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

·       Regular travel not to exceed 15%.