Data Scientist | Data Scientist (m/w/d)

LEONHARD WEISS GmbH & Co. KG

Satteldorf, Baden-Württemberg, Deutschland
Published Mar 9, 2026
Full-time
Permanent

Job Summary

As a Data Scientist at LEONHARD WEISS, you will serve as a key architect of the company's digital foundation by transforming complex datasets into actionable business insights. Your daily responsibilities include analyzing large data volumes from across various business units to support data-driven decision-making. You will be tasked with developing, testing, and implementing predictive and classification models using Machine Learning to optimize internal processes and business models. A significant portion of the role involves creating interactive dashboards and reports to visualize findings for diverse stakeholders. This position offers a high degree of creative freedom within a modern IT landscape, supported by a culture that encourages innovation and 'out-of-the-box' thinking. You will collaborate closely with IT and specialized departments to integrate new data sources while ensuring high data quality. The role is particularly attractive due to its flexible work arrangements, including trust-based working hours and mobile work options, alongside a comprehensive benefits package including a 13th-month salary and profit-sharing.

Required Skills

Education

Completed degree in Computer Science, Business Informatics, Business Administration, or a comparable qualification.

Experience

  • Professional experience in statistics, data analytics, and machine learning
  • Experience working with modern data platforms and databases
  • Experience in developing and implementing predictive and classification models
  • Proven experience in data visualization and communicating complex results to stakeholders
  • Experience in data preparation and integration from various sources

Languages

Not specified

Additional

  • The position is based on a 40-hour work week with trust-based working hours and an integrated working time account. Mobile work is possible. Candidates must have the ability to work independently and structured within a team environment.