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Head of Data Science

4 weeks ago

Dubai, Dubai, United Arab Emirates Discovered MENA Full time

Head of Data Science

Location: Dubai

Tax Free Salary:
45, ,000 AED

We're looking for a
hands-on Data Science leader
with
product/e-commerce experience
and
startup-build exposure
—someone who can
set strategy from scratch while remaining an IC
, not a pure people leader or program director. This is a perfect role for someone ready to
step up into leadership
, hire a small team, and scale a practice to
5–10 people
.

You will lead the intelligence layer of our marketplace, powering personalization, search/ranking, pricing, demand forecasting, inventory optimization, marketing science, and real-time agentic AI. You'll partner with Product, Engineering, Marketing, Supply Chain, and Commercial to turn data into measurable business outcomes.

What You Will Lead

1. Strategy & Leadership

  • Own and execute the data science strategy tied to growth KPIs (acquisition, activation, AOV, repeat rate, margin).
  • Build a roadmap balancing fast iteration with long-term foundations (feature store, real-time inference, experimentation).
  • Hire and develop a multi-disciplinary DS/ML/MLOps team.

2. Customer Insights & Personalization

  • Deliver multi-objective personalization across web/app surfaces.
  • Build recommenders, search relevance, semantic search, and LTR models.

3. Pricing & Merchandising Science

  • Lead dynamic pricing, elasticity models, and competitive price-matching.
  • Optimize promotions, assortment, and attribute coverage.
  • Apply causal inference for pricing/promo impact.

4. Forecasting & Inventory Optimization

  • Build multi-layer forecasting models for buying and replenishment.
  • Develop availability, stockout, returns/refund, and supply-chain efficiency models.

5. Marketing Science & Experimentation

  • Own full-funnel attribution, incrementality, and ROAS optimization.
  • Lead always-on experimentation with rigorous guardrails.
  • Deliver LTV, CAC, churn, and audience segmentation models.

6. Agentic AI & Automation

  • Build real-time agentic systems for merchandising, pricing, and operations.
  • Implement human-in-the-loop workflows and feedback loops for continuous learning.

7. Catalog Quality & Trust

  • Apply CV/NLP for enrichment, duplication, attribute extraction, and size mapping.
  • Build fraud/abuse detection with explainability and review layers.

8. Data Platform, MLOps & Governance

  • Collaborate with Engineering to scale the lakehouse, feature store, and streaming ecosystem.
  • Implement mature MLOps (CI/CD, registries, canary/shadow deployments, monitoring).
  • Champion governance, privacy, and model risk practices.

Qualifications

  • Master's or PhD in a quantitative field.
  • 12–15+ years applied DS experience (marketplace/e-com preferred).
  • Demonstrated success shipping production ML that moved KPIs at scale.

Technical Skills

  • Strong Python/R/SQL and deep expertise in ML, DL, NLP, forecasting.
  • Experience with TensorFlow/PyTorch, Spark/Hadoop, and cloud platforms (AWS/GCP/Azure).
  • Solid grounding in experimentation, causal inference, and statistical modeling.

If you fit the brief of the role and have built a product or ecommerce business's data science platform from the ground up, then APPLY NOW