Snr Manager, Data Science (Ref: 197506)

Forsyth Barnes; Virginia (MN); On-site; USD 180,000 - 240,000; Full time

Job summary

Forsyth Barnes and a leading organization seek a Senior Manager – Data Science, Logistics Modelling to lead a high-performing team that builds optimization and AI solutions transforming large-scale logistics operations. This onsite role requires Richmond, Virginia attendance four days per week and work authorization in the United States; sponsorship is not available.

You willหัว lead 4–7 Data Scientists, design optimization models, and build AI-driven planning solutions that drive measurable

Qualifications

• 6+ years' experience within Data Science, Analytics or Operations Research.
• Experience leading or mentoring Data Science teams.
• Strong background building optimization, mathematical modelling or machine learning solutions.
• Experience solving large-scale operational or logistics challenges.
• Proven ability to influence senior stakeholders through data-driven decision making.
• Strong communication and leadership skills.
• Experience delivering production AI or advanced analytics solutions.

Responsibilities

• Lead and develop a team of 4–7 Data Scientists.
• Design and deliver optimization models that improve large-scale logistics planning.
• Build AI-driven solutions that automate operational decision making.
• Develop mathematical and machine learning models to solve complex business problems.
• Partner with Engineering, IT and Operations to deploy production-ready solutions.
• Drive experimentation and measure business impact through rigorous testing.
• Influence logistics strategy through data-driven insights and advanced analytics.
• Mentor and develop technical talent while fostering a high-performance culture.
• Present complex analytical findings to senior leadership and cross-functional stakeholders.
• Deliver scalable solutions that generate significant commercial value.

Skills

Python

SQL

Statistics

Operations Research

Software Engineering principles

Job description

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

Forsyth Barnes is partnering with a leading organization to appoint a Senior Manager – Data Science, Logistics Modelling to lead a high-performing team responsible for building advanced optimization and AI solutions that transform large-scale logistics operations.

This is a unique opportunity for an experienced Data Science leader who combines strong technical expertise with exceptional commercial acumen. You'll lead a team of Data Scientists developing optimization algorithms and AI-driven planning models that solve complex operational challenges, influence business strategy, and deliver measurable financial impact.

Please note: Applicants must be authorized to work in the United States. Sponsorship is not available for this position. This role requires onsite attendance in Richmond, Virginia, four days per wee

Key Responsibilities

• * Lead and develop a team of 4–7 Data Scientists.
• * Design and deliver optimization models that improve large-scale logistics planning.
• * Build AI-driven solutions that automate operational decision making.
• * Develop mathematical and machine learning models to solve complex business problems.
• * Partner with Engineering, IT and Operations to deploy production-ready solutions.
• * Drive experimentation and measure business impact through rigorous testing.
• * Influence logistics strategy through data-driven insights and advanced analytics.
• * Mentor and develop technical talent while fostering a high-performance culture.
• * Present complex analytical findings to senior leadership and cross-functional stakeholders.
• * Deliver scalable solutions that generate significant commercial value.

Required Experience

• * 6+ years' experience within Data Science, Analytics or Operations Research.
• * Experience leading or mentoring Data Science teams.
• * Strong background building optimization, mathematical modelling or machine learning solutions.
• * Experience solving large-scale operational or logistics challenges.
• * Proven ability to influence senior stakeholders through data-driven decision making.
• * Strong communication and leadership skills.
• * Experience delivering production AI or advanced analytics solutions.

Technical Knowledge

• * Python.
• * SQL.
• * Statistics.
• * Operations Research.
• * Software Engineering principles.

Key Projects

• * Develop AI-driven logistics planning models to optimize nationwide operations.
• * Build optimization algorithms that improve routing, scheduling and resource utilization.
• * Design scalable machine learning solutions supporting autonomous operational decisions.
• * Partner with cross-functional teams to deploy production-ready analytics.
• * Deliver measurable operational efficiencies and commercial value through advanced modelling.

What Success Looks Like

• * Lead a high-performing Data Science team delivering innovative AI solutions.
• * Build scalable optimization models that improve logistics efficiency.
• * Deliver measurable business impact through advanced analytics and AI.
• * Influence strategic operational decisions with data-driven insights.
• * Establish best practices across Data Science, optimization and AI engineering.