Data Scientist for Self-Rostering Optimization

2 dagen geleden


Zoetermeer, Zuid-Holland, Nederland ORTEC Voltijd
Job Description

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
Requirements
  • 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
What We Offer
  • 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
Next Steps

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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