Job Description

Roles & Responsibilities

What You ll Be Doing

• Own and lead the applied data science roadmap pricing, forecasting, risk, attribution, lead scoring, and supply allocation.
• Ship models to production with tight experiment loops, and quantify impact on CM5%, utilization, CAC/LTV, and approvals/defaults.
• Launch Dynamic Pricing v2 for short-term and monthly subscriptions, and build STO Risk Engine v1 to scale responsible growth.
• Develop city/model-level demand & supply forecasts to optimize fleet utilization and procurement.
• Set up experimentation frameworks guardrails, sequential testing, unified performance definitions, and measurement cadence.
• Build and lead a high-performing DS team across Dubai and Cairo, embedding pods into squads and ensuring best practices in model health and governance.
• Partner with Data Engineering to strengthen MLOps feature stores, model registry, CI/CD, and monitoring.
• Codify model governance, documentation, and bias/fairness checks in line with SAMA expectations.

Desired Candidate Profile

8 12+ years of experience in Data Science/ML, including 3+ years leading teams.

• Proven track record of delivering pricing, forecasting, or risk models that drive measurable P&L impact.
• Deep expertise in at least two areas: marketplace pricing, credit/risk, forecasting, marketing measurement, or ops optimization.
• Strong in Python, SQL, MLflow (or similar), orchestration tools, and cloud platforms (GCP/AWS).
• Product mindset able to translate CM1 CM5 and business constraints into clear model objectives and experiments.
• Exceptional collaboration skills you work closely with Product, Growth, Finance, and Ops to deliver real business outcomes.
• Nice to have: Experience in mobility, marketplace, or fintech industries; familiarity with BigQuery, dbt, real-time inference, and Arabic proficiency.