Data Scientist for Self-Rostering AI Project
1 maand geleden
ORTEC is seeking a talented data scientist to work on a challenging project that combines artificial intelligence and employee rostering. As a data scientist, you will be responsible for developing and implementing machine learning models that optimize employee rostering processes.
Key Responsibilities- Develop and train machine learning models to predict employee preferences and optimize rostering processes
- Analyze and interpret data to identify trends and patterns that can inform rostering decisions
- Collaborate with the ORTEC team to integrate machine learning models into existing rostering systems
- Communicate complex technical concepts to non-technical stakeholders
- Master's degree in data science, machine learning, computer science, or a related field
- Strong programming skills in Python and/or R
- Experience with machine learning libraries and frameworks (e.g. scikit-learn, TensorFlow)
- Excellent analytical and problem-solving skills
- Ability to work independently and collaboratively as part of a team
- A dynamic and supportive work environment
- Opportunities for professional growth and development
- A competitive salary and benefits package
- The chance to work on a cutting-edge project that combines AI and employee rostering
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