
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.
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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.
• Lead the strategy and delivery of predictive models that improve customer acquisition, marketing performance and long-term commercial value. • Partner with Marketing, Product and Commercial teams to apply Data Science to real business problems. • Work closely with Engineering and ML Ops to ensure models become reliable, production-ready products. • Lead and develop a growing team of Data Scientists while building trusted relationships across the business. • Represent Forbes in strategic conversations with technology partners while staying connected to advances in AI, machine learning and marketing science.
• 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.
• Equal employment opportunities • Prohibits discrimination and harassment of any type
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💰 Venture Round on 2020-12
⏰ Full Time
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📊 Data Scientist
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