:

Role &

Responsibilities :

Marketing &

- Revenue Modelling :
- 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.

Product &

- Growth Analytics :
- 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.

Predictive Modelling &

- Machine Learning :
- 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.

Collaboration &

- Communication :
- 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.

Preferred Candidate Profile :

What You'll Bring :

Minimum Qualifications :

- Bachelors 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.
- Explicit communication skills and a track record of turning data into decisions.

Nice to Have :

- Experience with BigQuery and Google Cloud Platform (or equivalent).
- Familiarity with affiliate or lead-gen business models.
- Exposure to NLP, LLMs, embeddings, or agent-based analytics.
- Ability to contribute to model deployment workflows (e.g., using Vertex AI, Airflow, or similar).

📌 Data Scientist - Python/Machine Learning (India)
🏢 Success Booster
📍 India