Data Scientist at Megaport
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Jul 21, 2026
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Jul 23, 2026
What this job asks for AI summary
A data science role embedded within the Revenue organization, focused on building predictive forecasting models, pipeline analytics, and dashboards to support sales and revenue operations. The work spans customer behavior analysis, churn and expansion modeling, KPI governance, and contributing to AI readiness efforts. It suits an experienced data scientist comfortable bridging technical modeling work with direct engagement alongside business and executive stakeholders in a SaaS or technology context.
Senior level · 5+ years · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (4)
The posting is headquartered in Brisbane, Australia, with teams across Asia-Pacific, Europe, and the Americas. No specific work location or country is stated for this role, but given the HQ and regional framing, the primary location is likely Australia or another non-US office — the US-based flag is set to false accordingly.
The role sits at the boundary between Data Science (predictive modeling, ML/AI readiness, churn analysis) and BI/Analytics (dashboards, KPI governance, revenue reporting). It leans toward 15-2051 due to the explicit forecasting models, churn/expansion modeling, and AI readiness work, but 15-2031 is a credible alternative given the heavy operational intelligence and reporting emphasis.
No compensation figures are provided in the posting.
The title carries no seniority level, but 5+ years of experience and the expectation of partnering with executive teams and driving forecasting transformation support a Senior classification.
Read the full posting
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