Marketing Data Scientist

Vonage · MexicoRemotesenior

In short

▸Científico de datos de marketing que conecta inversión en marketing con resultados de ingresos.
▸Día a día: construye modelos predictivos, reportes autónomos y modelos de personalización en Snowflake y Salesforce.
▸Destacado: el rol es clave para convertir el marketing en un motor de ingresos medible y anticipatorio.

Experiencia laboral en entornos comerciales rápidos y orientados a resultados (no se requi

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What they ask for

✓8 años de experiencia en Ciencia de Datos o Análisis de Ingresos
✓Experiencia demostrada con Salesforce (objetos completos y SOQL)
✓Experiencia con Snowflake: consultas, modelado y SQL avanzado
✓Capacidad para conectar modelos predictivos con decisiones estratégicas
✓Fluidez laboral con herramientas de IA y flujos LLM
✓Habilidades de storytelling con datos para influir en equipos comerciales

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SalesforceSOQLSalesforce Einstein AnalyticsTableau CRMPythonscikit-learnstatsmodelsProphetpandasNumPy

Who should you write to at Vonage?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Join Vonage and help us innovate cloud communications for businesses worldwide! Why this role matters: 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. 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

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