Data Scientist

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

Our team culture

We approach problems as a team of problem solvers, code writers, and cloud enthusiasts. Collaboration trumping hierarchy, curiosity fueling growth, and keeping the customer at the center define how we work. We operate across time zones to realize a shared global vision, trust one another to deliver, and uphold core values that matter more than short-term gains. Megaport is committed to increasing representation in tech and welcomes applicants from all backgrounds. If you are excited about this role, we encourage you to apply.

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

Requirements

• 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

Technologies

• SQL
• Python