Marketing Data Scientist

Why this role matters We are looking for a Marketing Data Scientist to synchronize our data intelligence with our strategic vision. You will play a pivotal role in refining our decision-making through advanced predictive analytics and translating complex insights into a roadmap for growth. Your work will ensure we are not reacting to the market, but proactively shaping customer engagement through the power of data science. Your key responsibilities Liaise with the data warehousing team to define and activate data set requirements. Collaborate with data engineers to automate data collection and cleaning from various sources, including new ones. Identify and correct data irregularities. Synthesize disparate data sets to focus on predictive insights and repeatable success. Build and deploy predictive models to inform growth strategies. Apply machine learning models to anticipate consumer behavior. Inform Marketing Mix Models (MMM) to reallocate budget for higher ROI. Influence change across the organization by translating complex model outputs into 'business-speak'. What you’ll bring Strong business acumen with the ability to connect analytical findings to strategic marketing and financial objectives. Proven ability to influence executive and cross-functional stakeholders to drive data-led change. Exceptional leadership and communication skills. A creative and rigorous approach to problem-solving, capable of navigating and integrating complex, multi-source data environments. A proven self-starter capable of thriving in a fast-paced environment and independently developing innovative approaches when faced with ambiguous data or technical challenges. What is Required Proven experience in building, deploying, and monitoring predictive models to inform growth strategies and revenue optimization. Deep expertise in using machine learning techniques to anticipate and model complex consumer behavior and journey analysis. Familiarity with informing and leveraging Marketing Mix Models (MMM) to reallocate marketing budgets for higher ROI Advanced proficiency in data manipulation and modeling languages (e.g., Python, R, SQL). Proficiency with data visualization tools (Tableau, Power BI or similar) Min 8+ years of related experience What we consider a plus Experience in a B2B setting Experience with customer lifetime value modeling Working knowledge of digital marketing platforms and their underlying data structures Advanced degree (Master's or PhD) in a quantitative field such as Computer Science, Statistics, or Economics. 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. #J-18808-Ljbffr