Job Description
adp MERKUR GmbH, part of the MERKUR GROUP, stands for innovative solutions in the development and production of games and entertainment devices, as well as their worldwide distribution.
Data is a key building block for innovation and informed decision-making at adp MERKUR GmbH. As a Data Scientist (m/f/d), you will contribute to transforming complex data from diverse sources into valuable insights and driving our research and development forward with a data-driven approach. By employing modern analytics and machine learning methods, you will create transparency, identify potential, and support departments and stakeholders in making data-driven decisions. Through interdisciplinary collaboration, you will make a significant contribution to the further development of our company.
Your tasks- As a Data Scientist (m/f/d), your task will be to analyze large, structured and unstructured data sets from various internal and external sources for our research and development.
- Furthermore, you are responsible for the development and implementation of machine learning models.
- Furthermore, your tasks include processing and visualizing data to support informed business decisions.
- Furthermore, you will work closely with various specialist departments to understand requirements and develop data-driven solutions.
- You also communicate analysis results clearly and in a way that is appropriate for the target group to relevant stakeholders.
- Completed studies in computer science, mathematics or a comparable field
- Experience with Python or R
- Knowledge of SQL and databases
- Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, or PyTorch)
- Good knowledge of statistics and data analysis
- Structured and analytical thinking
- Very good English and German skills
- Framework conditions : 30 days of vacation, flexible working hours, option to work remotely.
- Further training & career : In-house training center, diverse development opportunities throughout the entire company group
- Team & Community : Employee events, department events
- Health & Sport : Corporate health management, company sports
- Insurance & Protection : Disability insurance, company pension scheme
- Exclusive offers : E-bike leasing, corporate benefits, employee discounts, local offers depending on location.
