Data Scientist for Self-Rostering Optimization
2 dagen geleden
ORTEC is seeking a talented data scientist to join their team and work on a challenging project related to self-rostering optimization. The successful candidate will have the opportunity to develop and implement machine learning models to improve the efficiency of employee rostering.
Key Responsibilities- Develop and train machine learning models to propose preferences for employees
- Implement a system to learn from employee feedback and improve the model
- Propose changes to the roster to satisfy duty capacities
- Analyze time series data to inform rostering decisions
- Master's degree in data science, machine learning, computer science, or a related field
- Experience with supervised machine learning models and Python programming
- Good SQL knowledge and ability to learn quickly
- Excellent communication skills and ability to work in a team
- Availability for 32-40 hours per week and a minimum of six months
- Opportunity to work on a challenging project with a leading company in applied mathematics
- Excellent supervision and support during the graduation project
- Good internship allowance, laptop, and other office facilities
- Open, kind, and fun company culture
If you are interested in this opportunity, please upload your CV, motivation letter, and grade lists. The recruitment process will consist of two online assessments: a personality and intelligence test, and an interview.
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