Data Scientist Pricing (Fortune 100 Co Direct Hire) (Houston)

Job Description :

Results-driven Data Scientist 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.

Key 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.

Core Skills :

Machine Learning Price Optimization Predictive Modeling Statistical Analysis SQL Python / R A / B Testing Data Visualization (Power BI, Tableau) Revenue Management ERP Data Integration