Data Science II

A leading national provider of home services and parts distribution is seeking a Senior Manager of Pricing Data Science to lead the development and execution of data-driven pricing strategies across both B2B and B2C channels.

This strategic role will focus on pricing optimization, statistical modeling, advanced analytics, and AI-driven insights to support revenue growth, profitability, and competitive positioning across service operations and parts distribution., * Develop and execute pricing strategies for B2B and B2C channels across service operations and parts distribution.

• Build analytical frameworks to evaluate price elasticity, customer behavior, and market trends.
• Lead quantitative analysis of historical pricing data to identify revenue opportunities and validate pricing models.
• Design standardized pricing models incorporating labor costs, parts costs, and overhead while maintaining competitive positioning.
• Develop and maintain pricing tools and dashboards to monitor performance and support business decisions.
• Collaborate with operations teams to understand cost structures and implement profitable pricing strategies.
• Conduct competitive analysis to refine pricing approaches and strengthen market positioning.
• Drive continuous innovation in pricing methodologies through advanced analytics and AI-driven insights.

• 5-6 years of experience in pricing strategy and analytics.
• Proven expertise developing pricing strategies for both B2B and B2C markets.
• Strong proficiency in SQL, Python, or R for data analysis.
• Experience applying AI and machine learning techniques to pricing optimization.
• Ability to translate complex data and analytical findings into actionable pricing strategies.
• Strong stakeholder management and communication skills.

Preferred Qualifications

• Experience with service industry pricing or parts distribution.
• Background in field service operations or the appliance industry.
• Familiarity with price optimization software and tools.
• Experience with price elasticity modeling and customer behavior analysis.

Skills & Competencies

• Pricing Strategy
• Pricing Analytics
• Pricing Optimization
• Data Science
• Statistical Modeling
• Advanced Analytics
• AI and Machine Learning
• Price Elasticity Analysis
• Customer Behavior Analysis
• Competitive Analysis
• Revenue Optimization
• B2B Pricing
• B2C Pricing
• SQL
• Python
• R
• Pricing Dashboards and Tools
• Data-Driven Decision Making
• Stakeholder Management
• Business Communication

Education & Experience

No formal degree requirement is specified.

Experience: 5-6 years of experience in pricing strategy and analytics.

Work Arrangement & Schedule