Data Scientist
Hybrid (Brisbane/Sydney/Melbourne)Full-time - PermanentPosted 2mo ago
About the role
Data Scientist to scale advanced analytics and operational intelligence across the Revenue organization, partnering with Revenue Operations, Data Engineering, Finance, Systems, and Commercial leadership to improve forecasting, operational visibility, AI readiness, and data-driven decision making.
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
Qualifications
- 5+ years of Data Science, Analytics, or Revenue Intelligence experience
- Strong SQL, Python, and statistical modeling expertise
- Experience working with large operational and sales datasets
- Experience building forecasting and predictive analytics models
- Strong data visualization and dashboarding capabilities
- Experience partnering with business stakeholders and executive teams
- Strong understanding of SaaS or technology business models
- Ability to translate technical findings into business recommendations
Skills
Required:SQLPythonStatistical ModelingData VisualizationStakeholder ManagementSaaS / Tech Business Models
Benefits
- Flexible working environments
- Birthday Leave, 12 weeks of parental leave (after 12 months continuous service), and 5 days of study leave
- Creative, fun, and contemporary work environments
- Motivated team of industry experts and plenty of learning opportunities
- Celebrated success with internal awards programs
- Health and wellness program
- Generous performance bonus structure
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Megaport
Network as a Service, Data Center and Cloud Connectivity.
Megaport offers scalable bandwidth for public and private cloud connections, metro ethernet, Data Centre backhaul, and Internet Exchange Services.
Network as a ServiceData CenterCloud Connectivity
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