--- title: 'Marketing Data Scientist at Vonage' canonical: 'https://feeny.ai/job/marketing-data-scientist-vonage-mexico-m9qezgqwwand' type: 'job' last_seen: '2026-10-14' --- # Marketing Data Scientist at Vonage - **Company:** Vonage - **Location:** Mexico - **Work type:** remote - **Posted:** 2026-05-13 - **Last confirmed live:** 2026-10-14 - **Apply:** https://job-boards.greenhouse.io/vonage/jobs/8540318002 ## Job description 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: - Analyze and model the relationship between marketing investment, channel performance, and revenue outcomes, connecting spend to growth - Design and maintain reporting views and self-serve analytics assets for internal stakeholders and marketing partners; making model outputs and performance data accessible, consistent, and actionable across teams - 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 - 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 - Contribute to the development of AI-ready data structures in Snowflake, including clean feature tables, scoring outputs, and audience segments that serve as reliable inputs for marketing automation and AI-driven decisioning 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 - 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 - A working fluency with AI tools and LLM-based workflows — able to leverage AI to accelerate analysis, prototype models, and operate effectively in an AI-first data environment Required: - 8 years of experience in Data Science, Revenue Analytics, or a related field - Salesforce data experience: proven hands-on experience with Salesforce data across the full object model (Leads, Contacts, Accounts, Opportunities, Campaigns), and a deep understanding of how marketing and sales data interconnects within Salesforce - Snowflake data warehouse experience: demonstrated experience querying, modeling, and working with data in Snowflake, including SQL-based data modeling and working with structured analytical data sets - Experience modeling pipeline generation, conversion rates, and revenue velocity across the full funnel 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](https://www.vonage.com/legal/careers-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. ## About Vonage ## Company Overview - **One-liner**: Vonage provides a cloud-based communications platform offering unified communications, contact centers, and programmable APIs for businesses and developers. - **Entity Type**: Private (Acquired by Ericsson in 2022) - **Headquarters**: Holmdel, New Jersey, USA - **Founded**: 2001 - **Founders**: Jeff Pulver, Craig Walker, and other co-founders ## Core Business - **Primary industry**: Cloud communications, Unified Communications as a Service (UCaaS), Contact Center as a Service (CCaaS), Communications Platform as a Service (CPaaS) - **Target customers**: B2B – enterprises, SMBs, developers - **Mission statement**: Accelerate the world’s ability to connect ## Products & Services - **[Vonage Communications Platform (VCP)]**: Fully programmable platform integrating Video, Voice, Chat, Messaging, and Verification into existing workflows. - **[Vonage Business Communications]**: Cloud-based unified communications solution for businesses (phone, messaging, video meetings). - **[Vonage Contact Center]**: AI-powered contact center solution for customer service and engagement. - **[Vonage APIs]**: Developer-friendly APIs for voice, SMS, video, and verification (built on the same platform). ## Market Standing - **Valuation/Market Cap**: Acquired by Ericsson for $6.2 billion in 2022. Current valuation not publicly disclosed (subsidiary). - **Key Metrics**: - Over 2,000 employees - Over 1.6 million registered developers - 236 US patents (71 patents in other countries) - 25 billion minutes and messages terminated yearly - Serves over 100,000 businesses worldwide (source: [vonage.com](https://www.vonage.com/about-us/)) - **Notable Investors/Partners**: Parent company – Ericsson; integration with Ericsson’s network APIs and 5G strategy. - **Growth Signals**: Continued expansion of programmable communications portfolio; growing developer community (1.6M+ registered); global office presence in US, Europe, and Asia. ## Competitive Advantages - **Only provider combining UCaaS, CCaaS, and CPaaS on a single, fully programmable platform** – unmatched flexibility for customers to choose applications, APIs, or both. - **Strong developer ecosystem** with over 1.6 million registered developers and extensive API documentation. - **Patented technology** and deep expertise in real-time communications (Voice, Video, Messaging). - **Global reach** with offices across US, Europe, and Asia and a hybrid/remote workforce. ## Strategic Focus - Integration with Ericsson’s 5G and network API strategy to enable next-generation communications. - Continued innovation in AI-powered contact centers, conversational experiences, and cloud-native communications. - Expanding self-service capabilities and developer tools to accelerate time-to-market for enterprise customers. ## Why Work Here - **Hybrid & remote-first culture**: “The majority of our roles are flexible… powered by our own Vonage solutions” (source: [vonage.com/careers](https://www.vonage.com/careers/)). Core office hubs available globally. - **Award-winning culture** (“The Vonage Way”) built on values: Accountability, Collaboration, Trust, Excellence. - **Strong DE&I commitment**: Employee Resource Groups (e.g., Women of Vonage, V+ Pride, The Black Experience, Wellness & Mental Health); inclusive hiring and development practices. - **Benefits**: Medical/Dental/Vision, Health Savings Account, tuition reimbursement, paid time off, maternity/paternity leave, auto/home/pet insurance, retirement plan, legal plan, and paid volunteering days. - **Learning & development**: Enriching opportunities to grow in career; encouragement of diverse perspectives. - **Global community**: Over 2,000 employees across 16+ countries with a focus on collaboration and innovation. ## Sources 1. [vonage.com - About Us](https://www.vonage.com/about-us/) 2. [vonage.com - Life at Vonage](https://www.vonage.com/careers/life-at-vonage/) 3. [vonage.com - Careers](https://www.vonage.com/careers/) 4. [vonage.com - Homepage](https://www.vonage.com/) 5. 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