Strategic Data Scientist for Revenue & AI (Remote)

Webhosting

Australia

On-site

AUD 120,000 - 160,000

Full time

14 days+
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Job summary

Megaport is seeking an experienced Data Scientist to scale advanced analytics and operational intelligence across the Revenue organization. You will partner with Revenue Operations, Data Engineering, Finance, Systems, and Commercial leadership to improve forecasting, visibility, AI readiness, and data-driven decision making.

The role focuses on building analytics capabilities supporting Sales Operations, Revenue Operations, forecasting, customer insights, and AI initiatives, translating complex

Responsibilities

  • Develop predictive forecasting models and pipeline analytics frameworks
  • Analyze sales productivity, customer behavior, operational efficiency, and revenue trends
  • Build scalable dashboards, models, and operational intelligence solutions
  • 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 teams to improve GTM data architecture and integration quality
  • Identify operational inefficiencies and recommend data-driven process improvements
  • Develop analytical frameworks supporting marketplace, channel, and consumption-based business models
  • Support executive decision making through advanced reporting and business analysis
  • Assist with data governance, metric standardization, and forecasting transformation initiatives
  • Build models supporting customer expansion, renewals, and churn analysis

Job description

Megaport is seeking an experienced Data Scientist to scale advanced analytics and operational intelligence across the Revenue organization. You will partner with Revenue Operations, Data Engineering, Finance, Systems, and Commercial leadership to improve forecasting, visibility, AI readiness, and data-driven decision making.

The role focuses on building analytics capabilities supporting Sales Operations, Revenue Operations, forecasting, customer insights, and AI initiatives, translating complex

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