Data Scientist (SaaS)

TL;DR

Data Scientist (SaaS): Building advanced predictive forecasting models and operational intelligence solutions for the Revenue organization with an accent on sales productivity, customer behavior, and revenue trends. Focus on scaling analytics capabilities, improving KPI governance, and driving AI readiness to support executive decision-making.

Location: Must be based in the United States

Company

hirify.global is a leading global provider of elastic interconnection services, enabling businesses to connect their networks to cloud and managed service providers.

What you will do

• Develop predictive forecasting models and pipeline analytics frameworks.
• Analyze sales productivity, customer behavior, and revenue trends to drive operational efficiency.
• Build scalable dashboards and operational intelligence solutions for commercial leadership.
• Partner with Revenue Operations and Finance teams to improve KPI governance and reporting consistency.
• Support AI readiness initiatives through data quality analysis and modeling.
• Collaborate with Data Engineering to improve GTM data architecture and integration quality.

Requirements

• Must be based in the United States
• 5+ years of experience in Data Science, Analytics, or Revenue Intelligence.
• Strong expertise in SQL, Python, and statistical modeling.
• Proven experience working with large operational and sales datasets.
• Strong understanding of SaaS or technology business models.
• Ability to translate complex technical findings into actionable business recommendations.

Culture & Benefits

• Flexible working environments.
• Health and wellness program.
• 12 weeks of parental leave after 12 months of service.
• Birthday leave and 5 days of study leave.
• Generous performance bonus structure.
• Contemporary work environment with a focus on learning and development.