Data Scientist

🕒 July 22

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Megaport

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

📡 Telecommunications

Networking • Cloud Computing • Telecommunications

Megaport is a leading provider of global private connectivity solutions that enable simplified network interconnection. The company offers a platform for deploying secure, scalable, and agile networks that interconnect data centers, clouds, and virtual points of presence. Megaport's services allow users to create secure and dynamic network connections on-demand, without hardware or long-term contracts, offering flexibility and speed to businesses. By partnering with global service providers, data center operators, and systems integrators, Megaport ensures robust and widespread network access across 930+ locations in 25 countries. Its smart software tools and APIs allow for easy network management, making it a trusted choice for cloud networking and hybrid cloud solutions.

📋 Description

• 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

🏖️ 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