Artificial Intelligence & Data Talent Partner at Discovered MENA 🤖 Head of Data Science
Location:
Dubai
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- 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.
- Deliver multi‑objective personalization across web/app surfaces.
- Build recommenders, search relevance, semantic search, and LTR models.
- Lead dynamic pricing, elasticity models, and competitive price‑matching.
- Optimize promotions, assortment, and attribute coverage.
- Apply causal inference for pricing/promo impact.
- Build multi‑layer forecasting models for buying and replenishment.
- Develop availability, stockout, returns/refund, and supply‑chain efficiency models.
- Own full‑funnel attribution, incrementality, and ROAS optimization.
- Lead always‑on experimentation with rigorous guardrails.
- Deliver LTV, CAC, churn, and audience segmentation models.
- Build real‑time agentic systems for merchandising, pricing, and operations.
- Implement human‑in‑the‑loop workflows and feedback loops for continuous learning.
- Apply CV/NLP for enrichment, duplication, attribute extraction, and size mapping.
- Build fraud/abuse detection with explainability and review layers.
- 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.
- 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.
- Strong Python/R/SQL and deep expertise in ML, DL, NLP, forecasting.
- Experience with Tensor Flow/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!
Seniority level- Director
- Full‑time
- Information Technology
- Information Services and Staffing and Recruiting
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