Director of Data Science

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Forbes Advisor

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1917

📱 Media

💸 Finance

Media • Finance

Forbes Advisor is an online consumer finance and product advice platform operated by Forbes Media. It provides independent news, reviews, comparisons, guides and calculators across personal finance topics — including credit cards, banking, mortgages, loans, insurance, investing, taxes and cryptocurrency — to help consumers make informed financial decisions. The site monetizes through advertising, sponsored placements and affiliate partnerships while maintaining an editorial team that produces analysis, rankings and how-to content.

📋 Description

• Lead the strategy and delivery of predictive models that improve customer acquisition, marketing performance and long-term commercial value • Shape capabilities including lifetime value modelling, propensity modelling, customer segmentation, forecasting and value-based bidding, ensuring every model is linked to measurable business outcomes • Partner with Marketing, Product and Commercial teams to apply Data Science to real business problems • Define how predictive analytics, experimentation and AI improve campaign performance, customer understanding and strategic decision making across platforms including Google and Meta • Ensure models become reliable, production-ready products rather than one-off analyses • Champion reproducible experimentation, scalable deployment, model monitoring, retraining strategies and continuous improvement throughout the model lifecycle • Lead and develop a growing team of Data Scientists while building trusted relationships across the business • Translate complex modelling into clear commercial recommendations, influence senior stakeholders through evidence, and establish Data Science as a trusted driver of business strategy and commercial growth • Represent Forbes in strategic conversations with technology partners including Google and Meta while staying connected to advances in AI, machine learning and marketing science • Evaluate emerging technologies, bring new ideas into the organisation and help ensure Data Science capability remains commercially relevant and technically leading

🎯 Requirements

• Experience leading commercial Data Science, Marketing Science or Decision Science teams • Strong expertise in predictive analytics, customer analytics, machine learning and statistical modelling • Experience applying Data Science to marketing performance, customer acquisition, lifetime value or value-based bidding • Experience productionising machine learning solutions within modern cloud environments and working closely with Engineering and ML Ops teams • Strong understanding of SQL, Python and modern machine learning frameworks • Experience working with Google Ads, Meta or other major advertising platforms • Excellent stakeholder management and communication skills, with the ability to influence both technical and commercial audiences • Experience building and developing high-performing Data Science teams • Strong commercial judgement, balancing technical excellence with measurable business impact • A pragmatic approach to AI, applying emerging technologies where they create genuine commercial value. • Nice to Have: Experience within affiliate marketing, digital publishing or lead-generation businesses • Experience working in financial services, insurance or regulated industries • Experience working directly with Google or Meta Data Science teams • Experience with attribution modelling and marketing measurement • Experience building optimisation algorithms for DSPs or advertising platforms • Experience with causal inference, experimentation frameworks or incrementality testing • Experience forecasting marketing or commercial performance • Experience with Vertex AI or equivalent cloud-based machine learning platforms.

🏖️ Benefits

• Equal employment opportunities to all employees and applicants for employment • Prohibits discrimination and harassment of any type