The Senior Revenue Management Data Scientist will transform pricing, quotation, customer, product, and market data into actionable intelligence that improves profitability, quote quality, sales effectiveness, and pricing discipline. This role combines advanced analytics, statistical modeling, machine learning, business acumen, and commercial pricing expertise to support data-driven decision-making across pricing, quotations, sales, finance, product management, and pre-sales teams. In addition to advanced pricing analytics and data science, this role will act as a technical innovator for the Pricing & Quotations organization by developing automation solutions, internal applications, and AI-enabled tools that improve productivity, decision quality, and business scalability. This position is ideal for someone who can operate beyond dashboards — someone who can identify patterns in complex data, build predictive and prescriptive models, recommend pricing actions, and translate technical insights into practical business decisions. The role will help evolve the pricing function from reactive analysis and transactional support toward proactive revenue intelligence, margin optimization, and strategic deal enablement.
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Job Type
Full-time
Career Level
Senior