Job Description :

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.

- Clear 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).