Pricing AI Leader — Senior Manager, Data Science

Forsyth Barnes; Virginia; On-site; USD 150,000 - 210,000; Full time

Job summary

Forsyth Barnes is partnering with a leading organization to appoint a Senior Manager – Data Science, Pricing Algorithms to lead a data science team in Richmond, Virginia, onsite four days a week.

You will design and implement pricing algorithms, optimization models and AI-driven solutions at scale, mentor 4–7 data scientists, and partner with Engineering, IT and Commercial teams to deploy production-ready models that drive margin and revenue.

Qualifications

• 6+ years in Data Science, Advanced Analytics or ML
• Experience leading Data Science teams
• Strong background in predictive models, optimization or pricing models
• Experience solving complex commercial or operational problems
• Proven ability to influence senior stakeholders through data-driven insights
• Excellent communication and leadership skills
• Experience deploying production AI/ML solutions

Responsibilities

• Lead and develop a team of 4–7 Data Scientists.
• Design advanced pricing algorithms and optimization models.
• Build AI-driven pricing solutions at scale.
• Develop ML models that respond to changing market conditions.
• Partner with Engineering, IT and Commercial teams to deploy production-ready solutions.
• Drive experimentation and measure business impact through A/B testing and analytics.
• Continuously optimize pricing strategies to improve commercial performance.
• Mentor technical talent and foster a high-performance culture.
• Present complex analytical findings to senior leadership and stakeholders.
• Deliver scalable AI solutions that generate significant business value.

Skills

Leadership

Data Science

Pricing/Optimization

Communication

Job description

Forsyth Barnes is partnering with a leading organization to appoint a Senior Manager – Data Science, Pricing Algorithms to lead a data science team in Richmond, Virginia, onsite four days a week.

You will design and implement pricing algorithms, optimization models and AI-driven solutions at scale, mentor 4–7 data scientists, and partner with Engineering, IT and Commercial teams to deploy production-ready models that drive margin and revenue.