Senior Data Scientist – Forecasting, Solna
Core
Building and maintaining high-quality forecasting models for logistics operations (volumes, routes, staffing) to enable data-driven decision-making.
Role type
Senior individual-contributor machine learning engineer (forecasting)
Builds
Production forecasting models for logistics planning and optimization
Domain
Logistics and supply chain operations
Deliverable
production ML models
Required skills
time-series modelling, statistical methods, modern machine learning, Python, SQL, Databricks, feature engineering, model lifecycle management
Preferred skills
probabilistic forecasting, hierarchical forecasting, optimization, MLOps, Azure cloud scaling, mentoring
Technologies
Databricks, Azure, Python, SQL
Responsibilities
Develop and maintain forecasting models for core logistics use cases; Evaluate existing models to optimize, replace, or redesign; Translate operational challenges into scalable forecasting solutions; Ensure model quality and data integrity in production; Collaborate with data engineers and domain teams; Mentor colleagues and establish best practices
Seniority
Senior, hands-on IC with mentorship responsibilities
