remote
Global Supply Chain Analytics & Insights Scientist - Brunswick
Software Engineer
Lead data‑driven supply chain initiatives by building predictive models, creating visual insights, and delivering actionable recommendations using Python, SQL, and advanced analytics techniques.
About the role
Key Responsibilities
- Design and implement predictive and prescriptive models to optimize global supply chain performance.
- Develop interactive dashboards and visual reports that translate complex data into clear business insights for stakeholders.
- Collaborate with cross‑functional teams to identify data gaps, define metrics, and drive data‑centric decision making.
- Perform statistical analysis and root‑cause investigations to uncover trends, anomalies, and improvement opportunities.
- Maintain and enhance data pipelines, ensuring data quality, integrity, and timely availability for analytics.
Requirements
- Strong proficiency in Python and SQL for data extraction, transformation, and modeling.
- Experience applying machine‑learning algorithms and statistical modeling to supply chain or logistics data.
- Expertise in data visualization tools (e.g., Tableau, Power BI) to create compelling, actionable dashboards.
- Solid understanding of supply chain concepts, demand forecasting, inventory optimization, and logistics analytics.
- Excellent communication skills with the ability to convey technical findings to non‑technical audiences.
Skills
pythonsqlmachine learning