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Full timeTechnology

Data Scientist

MegaportBrisbane🇦🇺Australia

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationBrisbane, Australia
OracleForecastingRevenue OperationsSales Operations

Job description

About Megaport
We’re not your typical tech company – and we don’t want to be. Megaport is the global leader in Network as a Service (NaaS), and has transformed the way businesses connect to the cloud, data centers, and each other. We’re publicly listed on the Australian Stock Exchange and partnered with the biggest names in tech like Amazon, Microsoft, Google, Oracle, IBM, and more. Headquartered in Brisbane with a crew of over 600 people spread across Asia-Pacific, Europe, and the Americas, our employees enjoy an environment that is collaborative, supportive, and (actually) fun.
Our Team Culture
We’re a team of problem solvers, pixel pushers, code slingers, and cloud fanatics. Culture is more than a poster on the wall here – collaboration beats hierarchy, curiosity fuels our growth, and everyone’s voice matters. We take our work seriously, but not ourselves. We work across time zones to execute on our global vision, trust each other to get things done, and never compromise our values for commercial gain. Most importantly, we place our customers at the center of everything we do.
We’re committed to increasing representation in the tech industry and welcome applicants from all backgrounds. Don’t meet every requirement? That’s okay. If you’re excited about this role, we encourage you to apply.

The Role

Megaport is seeking an experienced and business-oriented Data Scientist to help scale advanced analytics and operational intelligence capabilities across the Revenue organization. This Data Scientist will partner closely with Revenue Operations, Data Engineering, Finance, Systems, and Commercial leadership teams to improve forecasting, operational visibility, AI readiness, and data-driven decision making. This role will help build advanced analytics capabilities supporting Sales Operations, Revenue Operations, forecasting, customer insights, operational efficiency, and AI initiatives. The ideal candidate combines strong technical and analytical expertise with the ability to translate complex data into actionable business insights.

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