Senior Manager, Data Science (Logistics)

TL;DR

Senior Manager, Data Science (Logistics): Designing and leading the development of optimization algorithms and production planning systems for vehicle logistics with an accent on mathematical formulations and operational constraints. Focus on reducing transport spend, improving on-time performance, and scaling automation of planning processes.

Location: Not specified (Relocation support available for eligible candidates)

Company

A national retail network specializing in end-to-end vehicle logistics and transport flow optimization.

What you will do

• Define and execute the long-term optimization roadmap for vehicle movement planning.
• Lead cross-functional development of planning algorithms and production systems.
• Translate operational rules and constraints into mathematical models and objective functions.
• Oversee implementation of AI and optimization models into production pipelines.
• Manage a team of data scientists and analysts focused on logistics modelling.
• Design and run controlled experiments to quantify the impact of planning changes.

Requirements

• Bachelor’s degree in a quantitative field; Master’s or PhD preferred.
• Strong background in optimization, operations research, or related disciplines.
• 5+ years of experience in analytics, data science, or supply chain modelling.
• Proven track record of deploying optimization or ML systems in production.
• Proficiency in Python and optimization libraries or solvers.
• Demonstrated leadership managing technical teams and cross-functional projects.

Culture & Benefits

• Competitive base salary with performance-based incentives.
• Comprehensive medical, dental, and vision plans.
• Retirement savings plan with employer contribution options.
• Paid time off, holidays, and flexible work arrangements.
• Professional development allowance and mentorship programmes.
• Relocation support for eligible candidates.