Senior Pricing Data Scientist (SaaS)

TL;DR

Senior Pricing Data Scientist (SaaS): Developing and optimizing pricing, packaging, and monetization strategies for a data infrastructure platform with an accent on econometric modeling and customer value analysis. Focus on designing pricing experiments, quantifying elasticity, and influencing executive-level commercial decisions to drive ARR growth.

Location: Must be based in the United States

Company

hirify.global is a leading data infrastructure company that automates data movement and transformation, helping organizations build a trusted foundation for analytics and AI.

What you will do

• Analyze product usage, financial, and billing data to model monetization scenarios.
• Design frameworks to assess willingness to pay and customer value across segments.
• Lead pricing and packaging strategy for new product launches in partnership with Product and Finance.
• Build value-based pricing and econometric models to quantify ROI and lifetime value.
• Design and execute pricing experiments to validate hypotheses.
• Synthesize complex quantitative analysis into executive recommendations.

Requirements

• 5–8 years of experience designing or operating SaaS pricing models.
• Advanced degree (PhD/MSc) in Economics, Statistics, Operations Research, or Applied Math.
• Fluency in SQL and Python for large-scale data analysis.
• Proficiency with BI tools such as Looker or Tableau.
• Hands-on experience with conjoint, MaxDiff, or Gabor-Granger survey methodologies.
• Proven record of shipping pricing changes that moved ARR, gross margin, or NRR.

Nice to have

• Experience with dbt.
• Experience with usage-based or behavioral pricing models.

Culture & Benefits

• 100% employer-paid medical insurance.
• Generous paid time-off policy, parental leave, and holidays.
• RSU stock grants.
• Professional development and training opportunities.
• Monthly cell phone stipend.
• Access to a comprehensive mental health support platform.