Marketing Data Scientist

🕒 May 13

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Vonage

WebsiteLinkedInAll Job Openings

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

• Build and deploy demand forecasting and pipeline prediction models that project revenue outcomes at the campaign, segment, and market level • Develop and maintain lead scoring, audience propensity, and opportunity scoring models to sharpen targeting and prioritize sales and marketing effort • Analyze and model the relationship between marketing investment, channel performance, and revenue outcomes, connecting spend to growth • Identify high-value market segments and audiences through data modeling to inform how and where we compete • Develop personalization models and frameworks that enable tailored customer experiences across channels, from dynamic content and offers to next-best-action recommendations • Own and shape the revenue data ecosystem, ensuring data integrity, influencing how data is captured, and making it model-ready across systems • Collaborate with Marketing and Sales teams to define forecasting methodologies and embed models into operational workflows • Translate complex model outputs into clear, actionable narratives that drive strategic decisions at the executive level

🎯 Requirements

• 8 years of experience in Data Science, Revenue Analytics, or a related field • Proven experience building predictive and demand forecasting models tied to revenue outcomes • Strong understanding of CRM data ecosystems and how marketing and sales data interconnects - Salesforce experience strongly preferred • Strong proficiency in Python and SQL • Experience modeling pipeline generation, conversion rates, and revenue velocity across the full funnel • Proficiency with data visualization tools (Tableau, Power BI, or similar)

🏖️ Benefits

• Strong understanding of the full B2B revenue funnel - from awareness and demand generation through pipeline to closed revenue - and how data flows across it • Strong business acumen with the ability to connect predictive model outputs to strategic marketing and revenue decisions • The ability to influence RevOps, Sales, and Marketing stakeholders through data-led storytelling. • A proven self-starter comfortable operating in fast-moving, commercially-driven environments