Mid-Level
Industrial Engineering Specialist
Company Description
Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2021, Continental generated sales of €33.8 billion and currently employs more than 190,000 people in 58 countries and markets. On October 8, 2021, the company celebrated its 150th anniversary.
With its premium portfolio in the car, truck, bus, two-wheel and specialty tire segment, the Tires group sector stands for innovative solutions in tire technology. Intelligent products and services related to tires and the promotion of sustainability complete the product portfolio. For specialist dealers and fleet management, Tires offers digital tire monitoring and tire management systems, in addition to other services, with the aim of keeping fleets mobile and increasing their efficiency. With its tires, Continental makes a significant contribution to safe, efficient and environmentally friendly mobility.
Job Description
The role of the actual position in the Industrial Engineering (IE) systems is to develop new tools, support and train the operational IE’s regarding automatic and smart calculations of Cycle time and optimizations, Productivity incentive and Integrated capacity using algorithm allocation with plant constraints and taking future advantages of machine learning (work in progress, setup prediction, technological resources, headcount and KPI’s).
Other tools like: Data driven analysis to provide insights, benchmark standards, simulation, material flow, IT systems validations, innovation solutions support and capacity balancing are also part of scope.
Qualifications
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Degree or Master degree in Mechanical or eletronical or Industrial Engineering (data analyst/science)
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Project Management skills;
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Knowledge of industrial management and statistics;
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Advanced English level;
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Advanced level of IT (eg, Microsoft Office (Excel, Power BI), SQL, Python and other programming languages);
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Good level of AI tools and Machine Learning.
Additional Information
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