Join Vonage and help us innovate cloud communications for businesses worldwide
We are looking for a Data Scientist to own our demand and revenue intelligence capabilities. You will sit at the intersection of marketing strategy and commercial outcomes, building the predictive models and analytical frameworks that tell us where growth is coming from before it arrives. Your work will directly shape how we reach the right audiences, invest in the right channels, and accelerate pipeline - turning marketing activity into a measurable, forward-looking revenue engine.
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
Strong understanding of the full B2B revenue funnel - from awareness and demand generation through pipeline to closed revenue - and how data flows across it
Intuition for how marketing programs, channels, and audiences translate into commercial outcomes
Strong business acumen with the ability to connect predictive model outputs to strategic
📌 Data Scientist-Digital (Monterrey)
🏢 Vonage Business
📍 Monterrey
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