Senior Pricing Data Scientist

Responsibilities: Analyze product usage, deal, financial, and billing data to model pricing, packaging, and monetization scenarios. Develop frameworks to evaluate willingness to pay, customer value, and price realization across customer segments and product offerings. Research pricing strategies, packaging models, and monetization approaches across relevant markets. Lead pricing and packaging strategy for new product launches in partnership with Product, Go-to-Market, and Finance teams. Build value-based pricing and econometric models to measure price elasticity, customer ROI, lifetime value, and commercial impact. Design and execute pricing experiments to optimize pricing and packaging decisions. Translate quantitative analysis, customer research, and competitive intelligence into executive-level recommendations. Lead customer and market research to understand purchasing behavior, value perception, and pricing friction. Partner closely with Product, Analytics, Finance, Sales, Marketing, and Legal to deliver end-to-end pricing initiatives. Define KPIs, dashboards, and reporting to measure pricing performance and identify optimization opportunities. Continuously improve pricing and packaging strategy to drive revenue growth, customer adoption, and long-term value realization.

Qualifications: 5-8 years of experience designing or operating SaaS or sophisticated B2C pricing models, preferably with usage-based or behavioral pricing. Advanced degree (PhD or Master's) in Economics, Statistics, Operations Research, Applied Mathematics, Data Science, or a related quantitative discipline strongly preferred. Deep expertise in SQL and Python for large-scale data analysis. Experience with BI tools such as Looker, Tableau, or similar visualization platforms. Hands-on experience with pricing research methodologies including Conjoint Analysis, MaxDiff, Gabor-Granger, Van Westendorp, or similar techniques. Strong understanding of econometrics, pricing experimentation, causal inference, and value-based pricing. Demonstrated ability to translate complex quantitative analysis into actionable business recommendations. Track record of driving measurable improvements in revenue, margins, customer lifetime value, or net revenue retention through pricing initiatives. Excellent communication skills with the ability to influence executive stakeholders. Proven ability to collaborate across Product, Analytics, Finance, Sales, Marketing, and Legal.

Why This Role: Opportunity to shape pricing strategy at a rapidly growing software company. Work directly with executive leadership on strategic pricing decisions. Lead high-impact pricing initiatives from concept through implementation. Blend economics, experimentation, analytics, product strategy, and commercial execution in one role. Significant opportunity to influence company growth through pricing and monetization.