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Varberg, Sweden💼 Full-time🗓 2026-08-13 → 2026-09-26

Core

Develop models and analysis solutions to optimize the forestry value chain from member forests through logistics and industry to the market, focusing on production planning, supply forecasting, and predictive maintenance.

Role type

Senior IC data scientist (production optimization & predictive maintenance)

Builds

Production planning models, supply forecasting tools, condition monitoring systems, and predictive maintenance solutions for industrial operations.

Domain

Forestry industry + Industrial optimization & predictive analytics

Deliverable

production ML models | product features

Required skills

Statistical modeling, optimization, time series analysis, machine learning, Python (production-grade code), SQL, data platform experience

Preferred skills

Databricks, dbt, Azure, industrial/supply chain experience, forestry sector knowledge

Technologies

Python, SQL, Databricks, dbt, Azure

Responsibilities

Define problem formulations and validate models, collaborate with developers and data engineers on model production, integrate optimization models and simulations into business applications, analyze production and process data from industrial facilities.

Seniority

Senior, hands-on IC

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