Job

In this role, you will develop data-driven models for analyzing inventory and stock management, work on temporal data changes, and apply statistical methods and machine learning to optimize processes.

Job summary

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Job technologies

Your role in the team

  • Development of data-driven analysis, forecasting, and evaluation models for questions related to inventory, stock management, and stock quality.
  • Development and maintenance of data structures for analyzing temporal changes in organizational, assortment, and inventory data, as well as identifying patterns, risks, and optimization potentials.
  • Selection and application of appropriate statistical methods and machine learning techniques to address complex subject-specific questions.
  • Preparation, selection, and derivation of relevant features from existing data as well as the development of automated analysis processes and scripts.
  • Collaboration with internal partners and dmTECH in the further development of analytical solutions and in preparing their technical implementation.
  • Preparation, visualization, and presentation of analytical insights as well as deriving recommendations as a basis for decision-making.

Our expectations of you

Education

  • Completed degree in Computer Science, Mathematics, Statistics, Physics, Data Science, or a comparable quantitative or technical field.

Qualifications

  • Solid knowledge in data analysis, statistical modeling, and machine learning.
  • Knowledge in processing large datasets, data preparation, and feature engineering, as well as ideally in automating analytical workflows.
  • Enjoyment in analyzing complex data structures, strong analytical thinking skills, a structured and self-reliant work approach, as well as presentation and communication strengths.
  • Very good knowledge of German.

Experience

  • Experience in analytical programming with Python or R as well as in database querying with SQL.
  • Experience with version control, such as Git or GitLab, as well as with deploying analytical models into production environments.

What we offer

  • Dialogical corporate culture: It is the foundation of our collective actions. Appreciation, personal responsibility, and flat hierarchies shape our work community — as does the drive for innovation and initiative of all employees.
  • Health & Wellness: We offer you numerous personalized additional benefits. You can expect a subsidy for company pension schemes, an occupational disability insurance, many programs for mental and physical health, collaborations with health insurance providers, and in-house courses.
  • Learning at dm: Expand your knowledge in the digital dm learning world on a variety of topics - from project management to language courses, our offerings support your professional and personal development.
  • Work atmosphere: Our rooms in the 'dialogicum' are bright, spacious, and modern. The latest technology and ergonomic furniture make your tasks easier. In the 'culinarium', we offer you fresh meals daily, healthy snacks, and sweet treats at a fair price.
  • Working conditions: Ensuring a balanced work-life balance through flexible and partly remote working, our 37.5-hour workweek, and 30 vacation days. You can even combine work and vacation during a 'Workation' in European countries.
  • Additional benefits: We are happy to share the success of our team with you through allowances such as holiday and Christmas bonuses, special payments, and shopping vouchers. You will also receive a 10% employee discount in all German dm stores and benefit from exclusive offers for dm employees in many online shops. Furthermore, you can lease the latest smartphones, tablets, or laptops for personal use at favorable rates twice a year.
  • Mobility: With a subsidy for the 'Germany Ticket for Employees', you can travel affordably. If you prefer cycling, you can also use the JobRad®. Our premises offer plenty of parking spaces, e-charging stations, and a bicycle garage. A suburban train station and highway access are located nearby.

Benefits

Topics you will work on

Job locations

Map of the job locations
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  • Location Karlsruhe
    Baden-Württemberg, Germany

About your employer

Working independently, making a difference together: currently, more than 41,000 people are involved in around 2,000 dm stores, the distribution centers, the Karlsruhe headquarters and our IT subsidiary dmTECH. And ensure that dm has been Germany's top-selling drugstore for years.

Company type
Established Company
Work model
Full Remote, Hybrid, Onsite
Industry
Trade

Employer reviews

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Data Scientist

dm-drogerie markt GmbH + Co. KG