onsite
Data Scientist, Logistics
Data Scientist
Data Scientist focused on logistics capacity planning, building data models and products, and delivering analytical insights through ETL pipelines and advanced analytics using Python and SQL.
About the role
Key Responsibilities
- Design and implement end‑to‑end ETL pipelines to ingest, clean, and transform logistics data for capacity planning.
- Develop predictive and prescriptive models to forecast demand, optimize inventory, and improve delivery efficiency.
- Create and maintain scalable data models and data products that support real‑time analytics for operations teams.
- Collaborate with cross‑functional stakeholders to translate business requirements into analytical solutions and actionable insights.
- Monitor model performance, conduct root‑cause analysis, and iterate on solutions to continuously enhance accuracy and impact.
Requirements
- Strong proficiency in Python and SQL for data manipulation, analysis, and model development.
- Hands‑on experience building and maintaining ETL workflows and data pipelines.
- Solid background in data modeling, statistical analysis, and machine‑learning techniques applied to logistics or supply‑chain problems.
- Ability to communicate complex analytical findings to non‑technical audiences and drive data‑informed decision making.
- Bachelor’s degree in Computer Science, Engineering, Statistics, or a related quantitative field; advanced degree preferred.
Skills
pythonsqlmachine learning