Lead Data Scientist - Remote

Are you ready to bridge the gap between complex machine learning and real-world financial decision-making? At Discovered MENA, we are looking for a visionary Lead Data Scientist to join our remote Data & Analytics team and push the boundaries of what is possible with unstructured data. In this role, you will architect hybrid ML models that weave together supervised learning, time-series forecasting, and cutting-edge NLP to transform dense regulatory filings, fund memos, and PDFs into actionable, high-impact intelligence. If you are passionate about building systems that don’t just process data but actually understand it, this is your platform to innovate.

We believe that powerful AI is useless if it remains a "black box," which is why you will be at the forefront of implementing model explainability using advanced techniques like SHAP and LIME. You won’t just be writing code; you will be designing transparent, human-readable insights that empower stakeholders to trust the technology behind the results. We are looking for a forward-thinking problem solver who is eager to build scalable data pipelines and tackle the unique challenges of the MENA region’s financial landscape. Join us at Discovered MENA and take the lead in crafting the future of data-driven finance from anywhere in the world.

Requirements

• Strong proficiency in SQL and data visualization tools (Tableau, PowerBI).
• Experience with statistical programming languages like R or Python.
• Ability to derive actionable insights from large, complex datasets.
• Strong mathematical background and analytical thinking.
• Experience with data warehousing and ETL processes is beneficial.
• Degree in Statistics, Mathematics, Economics, or a related field.