Perform quantitative and statistical analyses applied to supply chain processes;
Develop predictive models and optimization algorithms to support decisions in logistics, inventory, demand planning, and other areas;
Partner with business stakeholders to understand problems and propose data-driven solutions;
Document methodologies and results clearly and concisely;
Ensure the quality and integrity of data used in analyses.

Bachelor's degree in Data Science, Engineering, Statistics, Mathematics, Economics, or related fields;
5+ years of experience in data science applied to supply chain;
Proficiency in Python, SQL, and libraries such as Pandas, Scikit-learn, NumPy;
Experience with statistical modeling, machine learning, and optimization algorithms.
Nice to have:
Knowledge of optimization libraries (e.g., Pyomo or PuLP);
Experience with cloud platforms (preferably AWS);
Familiarity with time series and demand forecasting (e.g., Prophet);
Postgraduate degree or MBA in related fields.

Senior Data Scientist

Key skills