We are seeking a Data Scientist to join our Revenue Data Strategy team, where you will play a pivotal role in driving data-led decision making and advancing ABX (Account-Based Experience) personalization. This position combines advanced analytics, predictive modelling, and automation to optimize how we target, engage, and grow our customer base. You will apply your expertise to deliver actionable insights, scalable data models, and AI-driven solutions that directly enhance revenue performance across both new customer acquisition and existing account expansion. Working closely with Product Owners (ABX and CDP), the ABX Targeting & Insights Specialist, and the Data Lead, you will operationalize analytics that elevate our go-to-market strategies. Key Responsibilities • Journey and Predictive Modelling • Map customer and prospect journeys to identify key friction points and churn indicators. • Develop clustering and predictive models (e.g., K-Means, DBSCAN, churn, upsell, lead scoring) to inform ABX campaigns and targeting strategies. • CDP (Segment) Enablement • Collaborate with the Product Owner – CDP to embed models and advanced segmentation within Segment. • Maintain and automate pipelines that refresh account scores, triggers, and insights in near-real time. • Collaboration with ABX Targeting & Insights Specialist • Provide advanced data modelling and analytical support to refine ICP-based target account lists. • Automate key data transformations and quality checks to support seamless campaign execution. • AI and Automation • Identify and prototype machine learning applications that streamline processes, improve data accuracy, and enhance personalization. • Evaluate ROI and scale successful models into production-ready solutions. • Stakeholder Engagement • Communicate analytical findings clearly to non-technical stakeholders, providing actionable recommendations to drive campaign effectiveness. • Maintain alignment with GTM analytics teams, ensuring clear separation between data science insights and performance reporting. • Continuous Improvement • Track and report on model accuracy, business impact, and optimization opportunities. • Stay informed on emerging ML tools, libraries, and best practices relevant to ABX and CDP workflows. Skills and Experience • Proven experience in data science, machine learning, or advanced analytics, preferably in a marketing, revenue, or customer experience environment. • Proficiency in Python, SQL, and common data science frameworks. • Experience with Customer Data Platforms (e.g., Segment) and automated data pipeline management. • Strong analytical and problem-solving skills, with the ability to translate technical findings into strategic recommendations. • Excellent communication skills and experience engaging with cross-functional teams and senior stakeholders. Why Join Us • Contribute to a business-critical function that directly impacts customer engagement and revenue performance. • Work with a collaborative, high-performing data and marketing team. • Be part of a forward-thinking organization committed to innovation, digital transformation, and data-driven growth.