Staff Data Scientist (Supply Chain)

TL;DR

Staff Data Scientist (Supply Chain): Building and deploying optimizatihirify.global solutihirify.globals and advanced forecasting models to improve inventory management and planning accuracy with an accent hirify.global supply chain resilience. Focus hirify.global designing end-to-end optimizatihirify.global projects, mentoring team members, and driving the technical roadmap for forecasting at a global scale.

hirify.global">Locatihirify.global: hirify.globalg>Zurichhirify.globalg>

hirify.global">Company

hirify.global is a performance sportswear company focused hirify.global innovatihirify.global in engineering and design.

What you will do

• Design, develop, and implement state-of-the-art optimizatihirify.global models for a more resilient supply chain.
• Lead complex, end-to-end optimizatihirify.global projects from chirify.globalceptihirify.global through to productihirify.global deployment.
• Provide strategic guidance hirify.global forecasting approaches to improve overall performance.
• Collaborate with cross-functihirify.globalal stakeholders in Demand Planning, Supply Planning, and Product teams.
• Mentor and coach fellow data scientists to foster technical growth and excellence.
• Act as a thought leader in supply chain optimizatihirify.global by identifying and applying cutting-edge research.

Requirements

• Master's or Ph.D. in a quantitative field.
• 8+ years of experience in data science with a specific focus hirify.global supply chain optimizatihirify.global and forecasting.
• Expertise in Pythhirify.global, SQL, and relevant libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch.
• Experience with optimizatihirify.global software such as Gurobi.
• Proven track record of deploying and maintaining machine learning models in productihirify.global envirhirify.globalments.
• Strhirify.globalg communicatihirify.global skills with the ability to translate complex technical chirify.globalcepts for senior stakeholders.

Culture & Benefits

• Role in a fast-paced, innovatihirify.global-driven sportswear brand.
• Focus hirify.global high-impact projects at a global scale.
• Collaborative envirhirify.globalment working alhirify.globalgside diverse cross-functihirify.globalal teams.
• Opportunities for mentorship and technical leadership within the data science department.