The impact You will create:  

• Develop and implement optimization, AI algorithms and models to optimize resource allocation 
• Design and build data pipelines to collect, clean, and preprocess large datasets from various sources 
• Develop and maintain software tools and frameworks to support the deployment and monitoring of AI models in production 
• Collaborate with business and engineering teams to integrate AI solutions into existing workflows and systems 
• Communicate complex technical concepts and findings to both technical and non-technical audiences 

Experience and skills You will need: 

• Degree in Computer Science, Engineering, Mathematics, Statistics, or a related field 
• Strong understanding of optimization techniques, such as linear programming, constraint programming, and metaheuristics 
• Familiarity with fundamental AI and machine learning concepts, including supervised and unsupervised learning, optimization algorithms, and deep learning 
• Experience with Python and relevant libraries such as Pandas, PySpark, NumPy, SciPy, PuLP, and OR-Tools  
• Knowledge of logistics and supply chain management principles is a plus 
• Mindset of utilizing technology to meet quality standards and fulfilling user needs