Data Scientist
Dubai, United Arab Emirates
Full timeOn-site
Job description
Role Purpose
Hands-on data scientist responsible for building predictive retention models and executing lifecycle campaigns. You work at the intersection of data science and CRM — building churn and LTV models, running A/B experiments, and translating model outputs directly into campaigns and growth insights.
Key Responsibilities
- Build and maintain churn prediction, LTV, and propensity models; own the full model lifecycle from feature engineering to CRM consumption.
- Design ML-based customer segmentation (clustering, behavioural scoring) to power personalised retention campaigns.
- Design and execute A/B tests across lifecycle touchpoints (onboarding, activation, churn prevention, win-back); analyse results with statistical rigour.
- Execute retention campaigns end-to-end across email, SMS, push, and in-app channels; monitor performance and optimise continuously.
- Write SQL to extract and analyse customer behaviour; monitor retention KPIs (churn, LTV, W4/W10 cohorts, repeat purchase rate).
- Present insights and recommendations to the Growth Director and CEO.
- Collaborate with the Data Engineer on pipeline architecture and with the Growth Analyst on segmentation.
Experience & Qualifications
- 3–5 years in data science or growth analytics, with at least 2 years focused on retention or lifecycle.
- Python (pandas, scikit-learn, statsmodels) and advanced SQL.
- Solid statistics: experiment design, significance testing, survival analysis for churn.
- Hands-on experience with a CRM/marketing automation platform (CleverTap, Braze, or equivalent).
- Experience in on-demand, marketplace, or subscription businesses preferred.
What We Offer
- Competitive salary; direct exposure to Growth Director and CEO.
- High-impact role with clear ownership and room to grow into a lead position.