Note: The job is a remote job and is open to candidates in USA. Megaport is a global Network as a Service company that connects businesses to cloud providers, data centers, and each other. The Data Scientist will develop advanced analytics and operational intelligence capabilities for the Revenue organization, including forecasting, customer insights, KPI governance, 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
Skills
- 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
Benefits
- Flexible working environments
- Birthday Leave
- 12 weeks of parental leave (after 12 months continuous service)
- 5 days of study leave
- Creative, fun, and contemporary work environments
- Plenty of learning opportunities
- Internal awards programs
- Health and wellness program
- Generous performance bonus structure
Company Overview
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