Supply Chain Data Scientist

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Skills you'll use

Who can apply

• Degree in Supply Chain Management or APICS CPIM certification and 5-7+ years’ experience in Global Supply Chain and Inventory Management essential (multi-site, multi-region),
• Degree or certification in Data Science desirable,
• Formal Project Management and problem-solving training desirable, e.g., Six Sigma, Lean.
• KNOWLEDGE SKILLS AND ABILITIES
• Demonstrated ability to select and work with appropriate analytical tools and software (Excel, PBI, relevant libraries in R and Python or SQL) and build ETL pipelines,
• Demonstrated experience using AI-assisted development and automation tools, such as Codex, to accelerate data analysis, code development, documentation, troubleshooting, and creation of analytical tools while applying appropriate validation and governance,
• Ability to critically evaluate AI-generated outputs for accuracy, data quality, business relevance, bias, and operational feasibility before applying them to supply chain planning, inventory optimization, or decision-support processes,
• Demonstrated ability to analyze large data sets and visualize findings,
• Demonstrated ability to wrangle, cleanse and model data from various sources (SAP, .csv, .xlsx, .txt, .parquet, .rds, data lake etc.),
• Proficient in Excel and Power BI (Power Query/M, DAX, relational database model, data visualization); Power BI Data Analyst Associate certification is a plus,

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