Data Scientist

HeidelbergCement is reinventing the way cement is produced for the digital age. We are thus looking for a data scientist who is passionate about digital transformation in the industry. The ideal candidate can work independently in the Python data ecosystem and is open to contribute to other software stacks.

  • Place:

    South Moravia
  • Work type:

  • Required languages:

    English (B2)
  • For graduates:

I'm interested


Meet our team

We work in small cross-functional product teams aiming to make the production of cement more effective and sustainable by providing data-driven tools for process optimization and prediction to our plants. We deliver end-to-end solutions from initial data analysis to production-ready applications. We believe in open-source and embrace opportunities to give back contributions to the community (e.g. HCrystalBall). If you are eager to tackle difficult challenges and make an impact in an international company undergoing a massive digital transformation, you have to look no further.

What will you do
  • Employ a mix of statistical data analysis, classical algorithms and machine learning to solve real-world business problems
  • Handle a broad range of tasks from process analysis to implementation to help create data driven products
  • Work together with stakeholders, product owners and other team members from various technical backgrounds to deliver
high-quality solutions that help improve our business
  • Build a solid working knowledge of the cement production process and material properties
  • Communicate and visualize non-trivial insights in an understandable manner
  • Be pro-active, persistent and eager to deliver a great solution for a given problem


You are experienced in:
  • mapping a business process to a data model and/or an algorithmic description
  • defining, designing and developing data pipelines and machine learning models
  • production-grade Python applications, including testing, dependency management, versioning and deployment, as with the main components of the Python data ecosystem (numpy, pandas, matplotlib, scikit-learn, …)
  • SQL on working knowledge level
  • web technologies on basic level

What is beneficial:
  • Experience with modeling and optimization of physical / chemical engineering systems is helpful but not mandatory
  • Active GitHub profile with open-source contributions


What we offer:
  • Home Office including hardware and daily compensation
  • Career opportunities in IT area
  • Extensive trainings (technical and soft skills)
  • Employee focus groups & surveys about company topics
  • 7,5-hour workday and 5 weeks of vacation
  • Company reserved parking (car, motorbike, bike and lockers)
  • Leisure time card (sport, education, wellness, health, culture)
  • Daily meal contribution
  • Mobile phone with company tariff
  • Language courses (GER, EN, CZE)
  • Relax area and terrace

What’s going to happen next

You apply to this job advert. Our recruiter will contact you within a week. If there is interest on both sides, we arrange meeting online or face2face in Brno office with team leader. Based on our mutual satisfaction we would welcome you on board.
I'm interested

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