Data Scientist

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Forbes

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Media • Finance • B2C

Forbes is a prominent global media company, known for its brand of content covering a wide range of topics such as business, investing, technology, entrepreneurship, leadership, and lifestyle. It features news, analysis, and information about issues of concern to industry leaders and affluent individuals. Forbes is widely recognized for its authoritative rankings of businesses and industry leaders, such as the Forbes Global 2000, and is a trusted source for in-depth analysis of current events and trends in the financial and corporate worlds. Through its digital and print platforms, Forbes engages its audience with high-quality journalism and thought leadership content.

201 - 500 employees

Founded 1917

📱 Media

💸 Finance

👥 B2C

💰 $200M Corporate Round on 2022-02

📋 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. • 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.). • 4+ 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

• Remote-first and flexible — work from anywhere in India with global exposure. • Monthly long weekends (every third Friday off). • Generous wellness stipends and parental leave. • A collaborative team where your voice is heard and your work drives real impact. • Opportunity to help shape the future of data science at one of the world’s most trusted brands.