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Data Scientist Supply Chain Management

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Job

  • Level
    Experienced
  • Job Field
    Data
  • Employment Type
    Full Time
  • Contract Type
    Permanent employment
  • Salary
    from 4.211 € gross/month
  • Location
    Enns
  • Working Model
    Hybrid, Onsite
  • Job Summary

    In this role, you will develop innovative data analyses to optimize logistics and support all phases from problem analysis through modeling to implementation, including knowledge transfer and quality assurance.

    Job Technologies

    Your role in the team

    • Data Analysis: You conduct in-depth, exploratory analyses on large datasets and derive concrete actionable recommendations for our logistics areas (e.g., network planning, site selection, transportation, market logistics, e-commerce).
    • Tool development: Together with the team and colleagues from IT, you develop innovative applications and models to support decision-making for logistics and oversee their implementation until productive use.
    • Consulting & Project Support: You translate technical issues in our logistics departments into technical requirements and solutions. You always provide advisory support to your colleagues and accompany them from the initial question through data preparation and modeling to the implementation of the results into daily work.
    • Knowledge transfer: Through documentation and various internal exchange formats (e.g., Expert Talks, Communities, etc.), you contribute to further embedding Data Analytics in logistics.
    • Quality Assurance: By monitoring and continuously optimizing the quality and integrity of our data and use cases, you significantly contribute to ensuring reliable insights and high stability of our analytical models.

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    Our expectations of you

    Education

    • Solid education: A successfully completed degree in Mathematics, Operations Research, Data Science, (Business) Informatics, Quantitative Economics, Logistics/Supply Chain Management, Industrial Engineering, or a comparable qualification forms your foundation.

    Qualifications

    • Language and Programming Skills: Very good German skills (C1) and good English skills are prerequisites. Additionally, good knowledge of a programming language from the Data Science environment (especially Python) is required to work in our innovative development environment, Posit Workbench.
    • Analytical thinking: You are characterized by a quick grasp of concepts and enjoy developing and designing complex analytical solutions. The focus is on gaining insights and validating your work results.
    • Independence and foresight: You work independently and in a structured manner and are not afraid to explore new paths. You always keep an overview and shape communication between the key interfaces – both nationally and with colleagues from other countries – clearly and conclusively.

    Experience

    • Logistics know-how: Furthermore, you possess relevant practical experience and solid knowledge in the areas of network planning, supply chain management, and/or operations research, ideally in the retail and/or distribution environment.
    • Ideally, you also have experience working with cloud-based data platforms (e.g., Snowflake) and have already deployed use cases via interactive web apps or dashboards in a production environment (e.g., Streamlit apps on Posit Connect).

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    What we offer

    • Security: At dm, you experience a crisis-proof employer – from accurate time tracking to punctual salary payments. And also because we take care of your occupational safety.
    • Appreciative collaboration – you can feel it when team members support each other. Regular team-building activities and virtual coffee meetings foster cohesion and ongoing communication.
    • Further education: We provide opportunities for you to continue your professional development during working hours. The courses are paid for by dm, and you do not have to repay them – including travel expenses. Missing skills can be easily developed through onboarding and training. We are happy to support part-time studies.
    • Development: At dm, many opportunities are available if you want to advance. For example, you can fully realize yourself within the distribution center organization according to your goals.
    • Health: The majority of your work takes place at the screen while sitting. As a counterbalance, our health ambassadors are available with valuable tips, or you can take advantage of our in-house training offerings.

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    Benefits

    Work-Life-Integration

    Higher Take-Home Pay

    Topics You Will Work On

    Job Locations

    • Location Enns

      4470 Oberösterreich

      Austria

    About Your Employer

    dm drogerie markt

    dm drogerie markt

    dm drogerie markt is one of the largest drugstore chains in Europe. The first store in Austria was opened in 1976 in Linz. Today, dm has almost 400 stores across the country. The company's headquarters in Salzburg is the center of operations for Austria and its expansion into other countries in Central and Eastern Europe.

    Description

  • Founding Year
    1976
  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Trade
  • Logo dm drogerie markt

    Data Scientist Supply Chain Management

    Salary
    from 4.211 € gross/monthEstimated net salary based on the gross salary in the job ad.from 2.829 € net/month
    Location
    Enns
    Working Model
    Hybrid, Onsite
    Diversity
    Open for all genders

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