Head of Logistics Optimisation & Data Science

Forsyth Barnes; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Performance-based incentives

Health benefits

Retirement plan

Paid time off

Professional development

Relocation support

Job summary

Forsyth Barnes seeks a Senior Manager to lead the logistics modelling group responsible for designing optimisation algorithms and production planning systems that schedule millions of vehicle moves annually. The role defines strategy for planning workflows and translates constraints into mathematical formulations.

Success is measured by reduced transport spend, improved on-time performance and scalable automation of planning processes, while managing data scientists and cross-functional teams.

Qualifications

• Bachelor's degree in a quantitative field; Master's or PhD preferred.
• Strong background in optimisation, operations research, or related disciplines.
• Five or more years of experience in analytics, data science, or supply chain modelling.
• Proven track record of deploying optimisation or ML systems in production.
• Proficiency in programming languages such as Python and optimisation libraries or solvers.
• Demonstrated leadership managing small technical teams and cross-functional projects.
• Excellent communication skills with the ability to influence senior stakeholders.

Responsibilities

• Define and execute the long-term optimisation 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 optimisation models into production pipelines.
• Manage a team of data scientists and analysts focused on logistics modelling.
• Design and run controlled experiments to quantify impact of planning changes.
• Collaborate with engineering and operations to ensure timely roll-outs and operator adoption.

Skills

Python

Optimization

Operations Research

Leadership

Communication

Cross-functional collaboration

Education

Bachelor's degree in quantitative field

Master's or PhD preferred

Tools

Optimization libraries/solvers

Job description

Forsyth Barnes seeks a Senior Manager to lead the logistics modelling group responsible for designing optimisation algorithms and production planning systems that schedule millions of vehicle moves annually. The role defines strategy for planning workflows and translates constraints into mathematical formulations.

Success is measured by reduced transport spend, improved on-time performance and scalable automation of planning processes, while managing data scientists and cross-functional teams.