Staff Data Science Consultant - Supply Chain Operation Analytics
Core
Leverage data-driven insights, machine learning, and optimization techniques to optimize supply chain processes, forecast demand, and solve complex operational challenges.
Role type
Staff Data Science Consultant (Supply Chain Analytics)
Builds
AI-driven Global Supply Chain Solutions Software Product
Domain
Supply Chain Management / Operations Research
Deliverable
production ML models | dashboards & analysis
Required skills
Python, R, SQL, statistical modeling, regression, classification, clustering, optimization algorithms, feature engineering, data visualization, demand forecasting, inventory management, procurement, logistics, distribution
Preferred skills
Experience with supply chain management platforms, advanced applied statistics (distributions, statistical testing)
Responsibilities
Analyze large complex data sets for demand forecasting and supply planning; Apply statistical and machine learning techniques to forecast demand; Implement optimization algorithms to improve supply chain efficiency; Serve as a subject matter expert advising stakeholders on best practices; Identify inefficiencies and recommend data-driven strategies for continuous improvement
Seniority
Staff, hands-on IC with strategic advisory
