Summary
Washmen is hiring a Data Scientist in Dubai to build predictive retention models and turn insights into lifecycle campaigns. The role covers churn, lifetime value and propensity modelling, customer segmentation, A/B testing, and campaigns across email, SMS, push and in-app channels. Candidates should have 3–5 years of experience in data science or growth analytics, including at least 2 years in retention or lifecycle work, with strong Python, SQL and statistical skills. Hands-on experience with a CRM or marketing automation platform is required; the posting states that the salary is competitive but gives no amount.
The posting
As published on washmen.com. Pulled from the employer's site and shown as they wrote it.
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.