We are looking for a Data Scientist with solid end-to-end ownership across the entire machine learning lifecycle - spanning problem framing, data exploration, feature engineering, model development, experimentation, deployment and monitoring.
Key Responsibilities:
- Develop Customer Lifecycle Intelligence: Lead the development of predictive models for Customer Lifetime Value (CLV), churn or buying propensity, and behavioral segmentation to drive marketing campaigns.
- Optimize Experimental Design: Design and implement A/B testing and Causal Inference roadmap, ensuring rigorous statistical validation for incrementality testing and lift studies.
Technical Excellence & Code Standards:
- Conduct rigorous peer reviews of Python/SQL code and ensure the scalability of ML pipelines in production (MLOps).
- Stakeholder Influence:
Translate technical model outputs into actionable "Growth Levers" for the CMO and Product heads, aligning data science initiatives with marketing targets.
- Communication: Excellent communication, both verbal and written is a must.
Technical skills:
- Experience with statistical and ML models, for both supervised and unsupervised learning. Hands-on expetise in Python and SQL is required. Knowledge of working in cloud platforms and familiarity with MLOps.
- 5+ years of professional experience in Data Science, with at least 2 years focused specifically on Marketing or Consumer Analytics.
- Proven track record of leading or working through the full data product lifecycle (from ideation to production