Senior Data Scientist

Job Title: Senior Data Scientist Company: Styli Job Category: Machine Learning Roles & Responsibilities: Role: Senior Data Scientist Job Description Role overview We are looking for a highly motivated, Senior Data Scientist who enjoys solving complex and ambiguous problems using data, statistics and machine learning. You will independently own high\-impact Data Science initiatives from problem definition through modelling, experimentation, productionization and impact measurement. You will work closely with Product, Engineering and business stakeholders, while also contributing technical guidance and supporting the development of the wider Data Science team. Key responsibilities ● Monitor model quality, data health, operational performance and business outcomes after launch. ● Make practical trade\-offs across accuracy, interpretability, latency, scalability, maintainability and cost. ● Write maintainable, reusable, version\-controlled and well\-documented code. ● Contribute to technical discussions, code and model reviews, and support other Data Scientists when needed. Data Science \& AI ● Working knowledge of production ML concepts, including batch or real\-time inference, APIs, CI/CD, model monitoring and retraining. ● Ability to make sound technical trade\-offs across model quality, latency, scalability, maintainability and infrastructure cost. ● Strong stakeholder\-management and communication skills, with the ability to influence product and business direction through data and deliver measurable customer or business impact. Work Location: Dubai, United Arab Emirates Availability: Full time

Must\-have skills and experience ● Advanced proficiency in Python and SQL, with strong experience building maintainable, reusable and production\-oriented Data Science code. ● Strong practical experience building, evaluating and deploying machine\-learning models, with depth in model selection, experimentation, error analysis and business\-impact measurement. ● Experience designing reliable training and evaluation datasets and identifying upstream data\-quality or instrumentation gaps. ● Strong experience in one or more areas such as recommendation systems, search and ranking, forecasting, pricing, optimization, customer modelling, causal inference, computer vision or generative AI. ● Experience in e\-commerce, retail, fashion or another large\-scale digital product environment. Education and experience ● Bachelor's, Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, Operations Research or a related quantitative field. ● Typically 5\+ years of relevant Data Science or applied machine\-learning experience; equivalent depth, scope and demonstrated impact will also be considered. Key Skills: Machine Learning, Python, Computer Vision Salary: Not disclosed