Engineering Analyst – Data Scientist (m/w/d)
Core
Data Scientist supporting engineering teams in analyzing large datasets to optimize logistics and distribution processes at a spare parts center.
Role type
Data Scientist (Engineering/Logistics)
Builds
Data-driven methods for logistics and distribution process improvement
Domain
Manufacturing / Logistics / Supply Chain
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, statistical analysis, machine learning, data modeling
Preferred skills
Databricks, logistics planning experience, warehouse/distribution process knowledge
Technologies
Python, SQL, Databricks
Responsibilities
Analyze and evaluate large datasets for process optimization, develop data-driven methods to improve logistics and distribution processes, create and maintain data models, identify trends and patterns in operational workflows using statistical analysis and ML techniques, present analysis results and derive actionable recommendations for stakeholders
Seniority
Entry-level to Mid-level
