Marketing Data Scientist
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.
Your key 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
Translate complex model outputs into clear, actionable narratives that drive strategic decisions at the executive level
What you'll bring:
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
A rigorous yet pragmatic approach to forecasting - knowing when to build a sophisticated model and when a well-structured regression is enough
A proven self-starter comfortable operating in fast-moving, commercially-driven environments
Required:
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)
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
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.
There’s no perfect candidate. You don't need all the preferred qualifications to make a valuable impact on our team. Our employees and customers come from diverse backgrounds, so if you're passionate about what you could achieve at Vonage, we'd love to hear from you.
To learn how we process your personal data during the recruitment process, please refer to our Privacy Notice.
Who we are:
Vonage is a global 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. Ready to innovate? Then join us today.
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. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.
Apply To This Job
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.
Your key 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
Translate complex model outputs into clear, actionable narratives that drive strategic decisions at the executive level
What you'll bring:
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
A rigorous yet pragmatic approach to forecasting - knowing when to build a sophisticated model and when a well-structured regression is enough
A proven self-starter comfortable operating in fast-moving, commercially-driven environments
Required:
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)
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
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.
There’s no perfect candidate. You don't need all the preferred qualifications to make a valuable impact on our team. Our employees and customers come from diverse backgrounds, so if you're passionate about what you could achieve at Vonage, we'd love to hear from you.
To learn how we process your personal data during the recruitment process, please refer to our Privacy Notice.
Who we are:
Vonage is a global 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. Ready to innovate? Then join us today.
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. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.
Apply To This Job