Decision Support Data Scientist
Core
Apply advanced analytics, statistical methods, and decision science to complex supply chain planning problems to translate challenges into structured analytical problems and develop evidence-based recommendations.
Role type
Decision Support Data Scientist (Supply Chain)
Builds
Decision frameworks, scenario models, and analytical narratives for supply chain planning
Domain
Supply Chain / Operations Research
Deliverable
dashboards & analysis
Required skills
Python, SQL, Statistical Analysis, Scenario Modeling, Sensitivity Analysis, Hypothesis Testing, Data Visualization, Operations Research, Supply Chain Analytics
Preferred skills
Machine Learning concepts, Optimization, Simulation
Technologies
Python, SQL, Pandas, NumPy, SciPy, Scikit-learn, Power BI, Tableau
Responsibilities
Translate ambiguous supply chain planning challenges into structured analytical problems; Conduct diagnostic and root-cause analyses on large datasets; Develop and evaluate planning scenarios to support decisions under uncertainty; Translate analytical findings into clear, actionable business recommendations; Collaborate with Data Science teams to validate model outputs and integrate them into decision frameworks; Build reusable analytical methodologies and decision-support frameworks.
Seniority
Mid-Senior (4-7 years experience)
