Senior Data Scientist

For over seven decades, the company has been a partner and creator of luxury experiences in the Middle East. In its pursuit to excel as a hybrid luxury retailer, the company has curated a portfolio of over 10 owned brands and strengthened its distribution and marketing expertise for over 400 international names across luxury fashion, beauty, jewelry, watches, eyewear, and art de vivre categories.

The company is committed to shaping the future of luxury retail by delivering seamless omnichannel experiences across more than 950 stores, online platforms, and mobile apps. The company fosters a people-at-heart culture rooted in diversity, equity, and inclusion, and is recognized as a Great Place to Work® in several markets. Sustainability is at the core of the company's strategy, with a commitment to reaching Net Zero by 2040.

Key Accountabilities:

• Design and develop machine learning models for predictive, classification, or optimization use cases aligned to business needs.
• Own model training, tuning, and evaluation, using appropriate techniques to optimize performance, precision, and recall.
• Engineer and select relevant features, leveraging statistical and domain knowledge to improve model outcomes.
• Implement experiment tracking frameworks to ensure reproducibility and model comparability across versions.
• Establish and maintain model performance metrics, including accuracy, F1 score, AUC, etc.
• Develop strategies for detecting model drift and define retraining strategies in collaboration with MLOps and platform teams.
• Ensure fairness and mitigate model bias.
• Collaborate with Data Engineers, MLOps, and Product Managers to integrate models into production pipelines.
• Document and version all models, experiments, and assumptions to support auditability, governance, and reuse.
• Apply generative AI techniques for NLP and conversational use cases.
• Link model outputs to success KPIs by quantifying value creation.

What You’ll Need to Succeed:

• 5–7 years of experience in applied data science or machine learning.
• Strong proficiency in Python and machine learning libraries (e.g., scikit-learn, XGBoost).
• Solid understanding of the model development lifecycle.
• Proven experience in feature engineering and model performance metrics.
• Familiarity with bias detection techniques and drift detection methods.
• Collaboration skills to work with cross-functional teams.
• Experience with MLOps practices, Azure ML, and GCP Vertex AI.

What We Can Offer You: The company offers enriching experiences, learning and development opportunities, and exposure to diverse career paths. The benefits package includes health care, child education contribution, remote and flexible working policies, and exclusive employee discounts.

Diversity and Inclusion: The company is committed to inclusion and diversity. We welcome all applicants to apply and ensure equal opportunity for all without regard to gender, age, race, religion, national origin, or disability status.