Data Scientist (Zaragoza)

Data Scientist (Zaragoza)

25 ago
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Zaragoza

25 ago

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Zaragoza

Our client is an innovative and fast-growing international company specializing in sustainable productivity solutions.

For their R&D; department of the Portable Power and Flow division, data plays a crucial role in making informed decisions, gaining insights into processes and products, and enhancing collaboration. To achieve this, data must be readily accessible to our engineers.
Digitalization is a core aspect of our client’s philosophy and will be pivotal in driving their innovation in the coming years. The right data, tools, and insights will enable them to improve products, processes, systems, and quality, ultimately creating value for their customers.

To support their digitalization efforts, we are seeking a Data Scientist to advance their data roadmap, contribute to their data science initiatives, and develop innovative data solutions.

Responsibilities:
As a member of the Technology and Innovation team within R&D;, you will collaborate closely with IT, the Service Connectivity team, and various departments and divisions within the Power Technique Business Area.




- You will play a key role in shaping the future data organization, managing multiple data sources, and defining data projects to meet the needs of Portable Power and Flow.
- You will contribute to the division's data vision and roadmap, with project management being a critical aspect of this role.
- You will be supported by engineers and colleagues across different departments, who will assist you in identifying specific needs and translating available data into ready-to-use tools for product development and continuous improvement.

Mission
Your mission is to unlock the potential of their data "gold mine" by developing innovative data solutions and tools. Utilizing data from various sources, including connectivity data, you will ensure these solutions and tools are sustainably integrated into the organization via the PT Data Platform.
Experience Requirements:
- Demonstrated experience as a Data Scien

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