Digital Specialist Innovation
Digital Specialist Innovation GEA is one of the largest suppliers for the food and beverage processing industry and a wide range of other process industries.
Approximately 18, 000 employees in more than 60 countries contribute significantly to GEA's success – come and join them!
We offer interesting and challenging tasks, a positive working environment in international teams, and opportunities for personal development and growth in a global company.
Why join GEA Job Information Reference Number JR-0030294 Job Function Research & Development Position Type Full time Site Viale del Lavoro 50, 37030 Colognola ai Colli VR Your Responsibilities and Tasks: Develop a deep understanding of our customers, their needs, pain points, and aspirations by interacting with customers and data.
Continuously seek customer feedback and insights to inform product development and decision making.
Represent the bakery business unit in the GEA Customer Portal Clubs and champion the division's requirements.
Analyze large amounts of data, find patterns, and derive recommendations for action based on your findings for new product and machine features and process optimizations for individual product areas.
Identify and implement appropriate digital business concepts and technologies to create new solutions for our customers in the digital environment.
Work closely with GEA decision makers and clients, presenting your ideas and discussing your concepts with them.
Your Profile and Qualifications: Excellent degree with a technical or scientific focus (e. g. , physics, mathematics, data science, computer engineering, etc. ).
Experience working with relational databases (especially SQL, JavaScript, TypeScript), a very good technical understanding, and programming experience (e. g. , Python); ideally some experience with machine learning models and containerization technologies (Docker, Kubernetes).
Enjoy working in a data-driven way and recognizing patterns and underlying drivers for greater customer benefit based on analytical models.
High level of initiative and ability to familiarize yourself with complex data models, products, machines, and processes, question them, and develop improvement approaches.
Work in a structured and precise manner, pay attention to detail, have a strong awareness of quality, and ambition to establish the best product solutions and the best user experience for our customers.
Willingness to travel to customer sites.
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