Data Scientist

Washmen; Dubai; On-site; AED 240,000 - 360,000; Full time

Benefits offered by this job

Competitive salary

Direct exposure to Growth Director and

Growth career path

Job summary

Washmen is seeking a hands-on Data Scientist to build predictive retention models and run lifecycle campaigns in a CRM-focused role. You will develop churn and LTV models, run experiments, and translate outputs into growth insights.

You will design segmentation, run lifecycle experiments, and execute campaigns across email, SMS, push, and in-app channels. Collaboration with engineering and growth teams is essential.

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).

Responsibilities

• Build and maintain churn, 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 and Growth Analyst.

Skills

Python

SQL

Statistics

Experiment design

Lifecycle analytics

Tools

CleverTap

Braze

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.