Data Scientist - Pricing Strategy

Confidential

United States

United States

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Join a dynamic team as a Data Scientist specializing in pricing analytics and revenue optimization within the distribution sector. This is your opportunity to leverage your skills in developing data-driven pricing models that not only enhance profitability but also drive customer retention. You will have the chance to utilize advanced analytics, statistical modeling, and machine learning to uncover pricing opportunities and optimize discount strategies across various product lines and customer segments. In this role, you will collaborate closely with sales, finance, and supply chain teams to design and implement innovative pricing strategies that respond to market trends, cost fluctuations, and inventory levels. You will expertly integrate large datasets from ERP and CRM systems to generate insights that empower smarter business decisions, all while focusing on maximizing margins and ensuring customer satisfaction. Key Responsibilities: Develop and deploy predictive pricing models utilizing Python, R, and SQL. Analyze customer behavior, price elasticity, and competitive benchmarks to inform strategic pricing decisions. Support pricing optimization across various distribution channels and product categories. Create comprehensive dashboards and reports to visualize pricing performance and key metrics for leadership. Partner with cross-functional teams to design and evaluate pricing experiments (A/B tests). Provide actionable insights into profitability drivers to enhance margin and revenue outcomes. Core Skills: Data Analysis
Proficiency in Python, R, SQL. Experience with machine learning for pricing and demand forecasting. Statistical modeling and data visualization skills.
Pricing Strategy
Expertise in price elasticity analysis. Knowledge of competitor and market benchmarking. Experience in designing dynamic pricing models.
Business Acumen
Understanding of sales, finance, and supply chain processes. Strong communication skills with cross-functional stakeholders.
Seniority level: Mid-Senior Level Employment type: Full-time Job function: Information Technology and Engineering Industries: Information Services and Technology, Information and Media Benefits: Medical insurance Vision insurance 401(k) Paid paternity leave Pension plan Disability insurance Tuition assistance Paid maternity leave Student loan assistance

United States

Sprachkenntnisse

English

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