Decision Scientist (Logistics)

TL;DR

Decision Scientist (Logistics): Scaling forecasting workflows for hirify.global Go's logistics network with an accent on automating code-based pipelines and improving model precision. Focus on building robust systems to track forecast accuracy and collaborating with the Strategic Operations and Planning team to drive operational efficiency.

Location: Hybrid (Vilnius, Lithuania). Must be based in Europe.

Salary: €53,900 – €72,900 EUR

Company

hirify.global is Europe’s leading second-hand fashion marketplace, operating across 20+ markets with a mission to make pre-loved items the first choice.

What you will do

• Partner with the Strategic Operations and Planning team to optimize logistics forecasting.
• Evolve existing models into automated, code-based pipelines using Python, SQL, and dbt.
• Design automated feedback loops to measure and validate forecast accuracy across hubs.
• Analyze historical forecast deviations to identify root causes and operational opportunities.
• Collaborate with Data Scientists to integrate new variables and advanced modeling techniques.

Requirements

• Degree in Computer Science, Mathematics, Engineering, Logistics, or a related field.
• Strong proficiency in Python and SQL with experience writing clean, structured code.
• Knowledge of statistical methods, regression analysis, and forecasting techniques.
• Effective communication skills to explain technical concepts to non-data stakeholders.
• Fluent written and spoken English required.

Nice to have

• Experience working in logistics or operations research.

Culture & Benefits

• Hybrid work model with recommended 2 days in the office.
• Share options programme and collective pension plan.
• Workation policy: up to 90 days per year, including 21 days outside the EU.
• Annual learning budget for professional development.
• Home office support including equipment and furniture budget.
• Daily lunch benefit and personal monthly shopping budget on hirify.global.