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 marketing and revenue decisions The ability to influence RevOps, Sales, and Marketing stakeholders through data-led storytelling 8 years of experience in Data Science, Revenue Analytics, or a related field Strong understanding of CRM data ecosystems and how marketing and sales data interconnects - Salesforce experience strongly preferred Strong proficiency in Python and SQL Proficiency with data visualization tools (Tableau, Power BI, or similar) Salesforce - full object model (Leads, Contacts, Accounts, Opportunities, Campaigns), SOQL, Salesforce administration, Salesforce Einstein Analytics / Tableau CRM Python - scikit-learn, statsmodels, Prophet, pandas, NumPy for forecasting and modeling SQL - advanced querying across CRM and marketing data sources Data Visualization - Tableau, Power BI, Salesforce-native dashboarding Marketing Automation Platforms - Marketo, HubSpot, or Pardot (data structure familiarity) Cloud Data Platforms - Snowflake, AWS, GCP, or Azure for data extraction and model deployment Version Control - Git/GitHub or GitLab Spreadsheet & Presentation Tools - Excel, Google Sheets for stakeholder-facing outputs Familiarity with marketing automation platforms and how they feed into Salesforce (e.g., Marketo, HubSpot) Working knowledge of digital marketing platforms and their underlying data structures Advanced degree (Master's or PhD) in a quantitative field such as Statistics, Economics, or Computer Science #To learn how we process your personal data during the recruitment process, please refer to our Vonage is a integral cloud communications leader. And your talent will further help brands - such as Airbnb, Viber, WhatsApp, and Snapchat - accelerate their digital transformation through our fully programmable-based unified communications, contact center solutions, and communications APIs.

Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list.

📌 Data Scientist-Digital : Data Science (Santiago)
🏢 Vonage Business
📍 Santiago