Data Scientist | Data Scientist
HOFER Supply Chain Entity GmbH
Job Summary
As a Data Scientist at HOFER, you will play a pivotal role in optimizing inventory demand planning and procurement strategies. Your daily responsibilities include performing quantitative and qualitative analyses of products and commodity groups, validating forecast parameters, and simulating various business scenarios to enhance supply chain efficiency. You will work in a highly collaborative environment, coordinating results closely with internal departments to drive data-driven decision-making. This position is particularly attractive for professionals seeking a balance between stability and flexibility, offering up to 50% remote work and a modern ergonomic workspace. Candidates should be prepared for an early start time of 04:00 AM, which is a unique operational requirement of this role. The position offers a structured onboarding process and continuous professional development through the HOFER Academy, making it an excellent opportunity for analytical thinkers looking to apply data science in a fast-paced retail environment.
Required Skills
Education
Ongoing or completed university degree with a focus on Mathematics, Statistics, Computer Science, Economics, or Supply Chain Management.
Experience
- Professional experience in data processing and analysis
- Experience in developing and optimizing demand planning or procurement strategies
- Proven track record in quantitative and qualitative product analysis
- Experience with SAP and RStudio is considered an advantage
- Experience in supply chain environments or retail is beneficial
Languages
Additional
- Potential readiness to start work at 04:00 AM; location-bound to Trumau, Austria; permanent full-time contract (38.5 hours/week).