Numerics Expert

Summary

Join Zoi, a company building the digital evolution of enterprise customers, and become a highly skilled numerical expert. You will develop and enhance quantitative models for a dynamic automotive project, focusing on forecasting, simulation, and optimization of production and scheduling processes. This role involves applying advanced mathematical techniques to real-world planning challenges. The position offers opportunities for professional development, flexible working hours, and remote work options. Zoi provides various bonus models, supports childcare, and offers regular free Friday lunches. The company is committed to diversity and inclusion.

Requirements

• Possess an advanced degree (MSc/PhD) in Applied Mathematics, Operations Research, Industrial Engineering, or a related quantitative field
• Demonstrate proven experience in mathematical modeling, numerical analysis, and optimization techniques (e.g., linear programming, constraint solvers)
• Exhibit strong proficiency in statistical forecasting, regression analysis, and probabilistic modeling
• Show familiarity with simulation tools and programming languages such as Python, MATLAB, or similar environments
• Demonstrate the ability to translate complex data and business challenges into actionable mathematical models
• Possess excellent problem-solving skills with a quantitative mindset and attention to detail
• Demonstrate strong communication skills to effectively collaborate with technical and non-technical stakeholders
• Possess very good written and spoken English skills

Responsibilities

• Develop robust forecasting models and predictive analytics frameworks to estimate key performance metrics using statistical and data-driven approaches
• Design and implement simulation methodologies to generate representative virtual scenarios, supporting the evaluation of various system configurations under uncertainty
• Create and optimize mathematical models and algorithms to effectively schedule resources and improve overall system performance, applying techniques such as linear programming and constraint solving
• Integrate diverse data sources to inform and refine models continuously, ensuring they remain adaptive to evolving conditions and business requirements

Benefits

• Various bonus models are offered
• 20% of working time is available for experimenting and education
• Constant training and development are valued
• Absolutely flexible working hours are offered
• Remote work from any of the locations is possible
• Individual certification and training plan is provided
• Financial support for childcare is offered
• Regular free Friday lunch is provided