Data Scientist

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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

• Own end-to-end modelling of LTV, user segmentation, retention, and marketing efficiency to inform media optimization and value attribution. • Collaborate with Paid Media and RevOps to optimize SEM performance, predict high-value cohorts, and power strategic bidding and targeting. • Work closely with Product Insights and General Managers (GMs) to define core metrics, KPIs, and success frameworks for new launches and features. • Conduct deep-dive analysis of user behaviour, funnel performance, and product engagement to uncover actionable insights. • Monitor and explain changes in key product metrics, identifying root causes and business impact. • Work closely with Data Engineering to design and maintain scalable data pipelines that support machine learning workflows, model retraining, and real-time inference. • Build predictive models for conversion, churn, revenue, and engagement using regression, classification, or time-series approaches. • Identify opportunities for prescriptive analytics and automation in key product and marketing workflows. • Support development of reusable ML pipelines for production-scale use cases in product recommendation, lead scoring, and SEM planning. • Present insights and recommendations to a variety of stakeholders — from ICs to executives — in a clear and compelling manner. • Translate business needs into data problems, and complex findings into strategic action plans. • Work cross-functionally with Engineering, Product, BI, and Marketing to deliver and deploy your work.

🎯 Requirements

• Bachelor's degree in a quantitative field (Mathematics, Statistics, CS, Engineering, etc.) • 5+ years in data science, growth analytics, or decision science roles. • Strong SQL and Python skills (Pandas, Scikit-learn, NumPy). • Hands-on experience with Tableau, Looker, or similar BI tools. • Familiarity with LTV modelling, retention curves, cohort analysis, and media attribution. • Experience with GA4, Google Ads, Meta, or other performance marketing platforms. • Clear communication skills and a track record of turning data into decisions.

🏖️ Benefits

• Day off on the 3rd Friday of every month (one long weekend each month) • Monthly Wellness Reimbursement Program to promote health well-being • Monthly Office Commutation Reimbursement Program • Paid paternity and maternity leaves