Confidential ยท 1 day ago
Sr Manager Data Scientist (Pricing) (Fortune 100 Co Direct Hire)
Confidential company is a Fortune 100 organization seeking a results-driven Sr Data Science Manager with expertise in pricing analytics and revenue optimization within the distribution industry. The role involves developing data-driven pricing models, collaborating with various teams to implement dynamic pricing strategies, and leveraging advanced analytics to maximize margins while ensuring customer satisfaction.
Marketing & Advertising
Responsibilities
Develop and deploy predictive pricing models using Python, R, and SQL
Analyze customer behavior, price elasticity, and competitive benchmarks to inform strategic pricing decisions
Support pricing optimization across multiple distribution channels and product categories
Build dashboards and reports to visualize pricing performance and key metrics for leadership
Partner with cross-functional teams to implement and evaluate pricing experiments (A/B tests)
Provide insights into profitability drivers and recommend actions to improve margin and revenue outcomes
Qualification
Required
Results-driven Sr Data Science Manager with expertise in pricing analytics and revenue optimization within the distribution industry
Skilled in developing data-driven pricing models that balance profitability, competitiveness, and customer retention
Experienced in leveraging advanced analytics, statistical modeling, and machine learning to identify pricing opportunities, optimize discount structures, and forecast demand across diverse product lines and customer segments
Collaborates closely with sales, finance, and supply chain teams to design and implement dynamic pricing strategies that reflect market trends, cost fluctuations, and inventory levels
Proficient in integrating large datasets from ERP and CRM systems to uncover insights that drive smarter business decisions
Focused on maximizing margins while maintaining alignment with overall business goals and customer satisfaction
Develop and deploy predictive pricing models using Python, R, and SQL
Analyze customer behavior, price elasticity, and competitive benchmarks to inform strategic pricing decisions
Support pricing optimization across multiple distribution channels and product categories
Build dashboards and reports to visualize pricing performance and key metrics for leadership
Partner with cross-functional teams to implement and evaluate pricing experiments (A/B tests)
Provide insights into profitability drivers and recommend actions to improve margin and revenue outcomes
Machine Learning
Price Optimization
Predictive Modeling
Statistical Analysis
SQL
Python/R
A/B Testing
Data Visualization (Power BI, Tableau)
Revenue Management
ERP Data Integration