data
Posted May 13Marketing Data Scientist
at Vonage
Work From Home Mexico, MexicoRemote
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Responsibilities
- 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
Requirements
- Strong understanding of the full B2B revenue funnel - from awareness and demand generation through pipeline to closed revenue - and how data flows across it
- The ability to influence RevOps, Sales, and Marketing stakeholders through data-led storytelling
- 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 •
- Proficiency with data visualization tools (Tableau, Power BI, or similar) Tools & Technologies:
- 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 What we consider a plus: •
- Experience with customer lifetime value (LTV) modeling and churn prediction
- Familiarity with marketing automation platforms and how they feed into Salesforce (e.g., Marketo, HubSpot) •
- Experience with lead-to-revenue funnel analytics in a B2B SaaS environment
- 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 #LI-JS3
Benefits
- Disclaimer: The posted range represents the good faith salary for this role at the time of posting.
- Final compensation is determined by factors including (but not limited to) geographic location, relevant experience, specific skill sets, and internal equity.
Additional details
- Join Vonage and help us innovate cloud communications for businesses worldwide! Why this role matters:
- 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.
- Translate complex model outputs into clear, actionable narratives that drive strategic decisions at the executive level What you'll bring:
- 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
- A proven self-starter comfortable operating in fast-moving, commercially-driven environments Required: 8 years of
- Experience modeling pipeline generation, conversion rates, and revenue velocity across the full funnel
- There’s no perfect candidate. You don't need all the preferred
- qualifications to make a valuable impact on our team.