Senior Manager, Data Science – Logistics Modeling (Ref: 197506)

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

About Us

Our client operates a national retail network that moves large volumes of vehicles across dealerships and distribution hubs. The organisation specialises in end-to-end vehicle logistics, optimising transport flows between regional centres, dealer lots and customer delivery points. The logistics team focuses on building planning systems and optimisation algorithms that directly reduce transport costs and improve delivery reliability.

Job Description

The Senior Manager will lead the logistics modelling group responsible for designing optimisation algorithms and production planning systems that schedule millions of vehicle moves annually. The role requires defining strategy for planning workflows, translating operational constraints into mathematical formulations, and delivering software that produces driver-level plans. Success will be measured by reduced transport spend, improved on-time performance and scalable automation of planning processes.

Key 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.

Requirements

• 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.

Benefits

• Competitive base salary with performance-based incentives.
• Comprehensive health benefits including 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.

Other

This position offers a strategic leadership opportunity to shape logistics optimisation for a high-volume vehicle retailer. Candidates with deep expertise in optimisation, large-scale modelling and production ML systems will excel. The organisation values pragmatic, outcome-oriented approaches and welcomes applicants with transferable experience from related industries.