Data Scientist
Employment Information
Job Description
Data Scientist leveraging advanced analytics and machine learning to unlock growth at Forbes Advisor. Collaborating across Paid Media, Product, and Engineering for data-driven decisions.
Responsibilities:
- 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.
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