Student Data Science

vor 1 Monat

Reinach, Schweiz Endress+Hauser Vollzeit

We are looking for a Student (m/f/d) Data Science with 40% workload to join Endress+Hauser Group Services and contribute to our cross-functional project team. 

 

What is the role about? 

Are you passionate about data analysis and creating solutions that drive business decisions? Do you enjoy working collaboratively in a dynamic team environment? Are you eager to take on challenges and make an impact through your work? If so, you're the type of person who would excel in our Student (m/f/d) Data Science role. Join us in leveraging data to optimize our demand planning processes, contributing to the success of our integrated business planning initiatives. 

 

Role + Responsibilities: 

  • You will create prototypes with different data sets to optimize demand planning strategies 

  • You will analyze data as a member of the Integrated Business Planning (IBP) Data Team, contributing to informed decision-making 

  • You will autonomously find solutions to given tasks regarding data analysis, demonstrating resourcefulness and initiative 

  • You will develop diagrams to visually represent complex data sets and analysis results 

  • You will interpret and document data analysis results, providing clear insights for stakeholders 
     

Qualifications + Profile: 

  • Enrolled student 

  • Advanced statistics knowledge 

  • Experience in Python programming is a must 

  • Advanced knowledge of Excel, including analysis and analysis design 

  • Develop solutions autonomously, demonstrating problem-solving skills 

  • Collaborating effectively within cross-functional teams 

  • Experience or interest in artificial intelligence (AI) and machine learning is an advantage 

  • Knowledge of demand planning and analysis of market-related figures is an advantage 
     

Benefits + Perks 

  • The security of working for an international family-owned company 

  • Innovation working environment 

  • Flexible working hours 

  • Independent collaboration in challenging projects 


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