Location: Dubai (relocation support can be provided)
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.
2. Customer Insights & Personalization
* 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.
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!
#J-18808-Ljbffr