Vonage
1001 - 5000 employees
Founded 2001
📡 Telecommunications
☁️ SaaS
🤖 Artificial Intelligence
💰 $225M Post-IPO Debt on 2014-08
Telecommunications • SaaS • Artificial Intelligence
Vonage is a global leader in communications services, offering a robust suite of tools including Communications APIs, Unified Communications, and Contact Centers solutions. The company empowers businesses to reach and engage customers across various channels such as messaging, voice, and video, facilitating superior customer experiences. Vonage integrates advanced technologies like AI and automation to enhance operational efficiency and customer satisfaction, supporting industries ranging from healthcare to retail with tailored communications solutions. As a testament to its capabilities, Vonage is consistently recognized as a leader in Communications Platform as a Service (CPaaS).
Senior Data Scientist
🕒 May 25
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Vonage
1001 - 5000 employees
Founded 2001
📡 Telecommunications
☁️ SaaS
🤖 Artificial Intelligence
💰 $225M Post-IPO Debt on 2014-08
Telecommunications • SaaS • Artificial Intelligence
Vonage is a global leader in communications services, offering a robust suite of tools including Communications APIs, Unified Communications, and Contact Centers solutions. The company empowers businesses to reach and engage customers across various channels such as messaging, voice, and video, facilitating superior customer experiences. Vonage integrates advanced technologies like AI and automation to enhance operational efficiency and customer satisfaction, supporting industries ranging from healthcare to retail with tailored communications solutions. As a testament to its capabilities, Vonage is consistently recognized as a leader in Communications Platform as a Service (CPaaS).
📋 Description
• Own the customer value narrative: Build and maintain the infrastructure that lets every customer (and our sales team) articulate Verify's ROI in dollars and percentages • Ship production ML systems: From feature engineering through deployment, monitoring, and iteration • Create reliable, self-serve data products: Dashboards, APIs, and datasets that scale without manual intervention • Drive pricing and packaging decisions: Provide the quantitative foundation for how we charge and what we bundle • Partner across the organization: Work with Product, Engineering, Finance, Sales, and Customer Success to embed data into every decision • Report to leadership: Own KPI narratives on margin drivers, growth levers, and competitive positioning
🎯 Requirements
• 5–8+ years in data science/analytics, with ≥2 years building and shipping data products • Track record of translating ambiguous business questions into measurable outcomes • Experience in B2B SaaS, identity/auth, fintech, messaging/telecom, or fraud analytics preferred • Demonstrated ability to influence product and pricing decisions with data.
🏖️ Benefits
• Flexible work arrangements • Professional development opportunities
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