Manager - Data Science

Role Purpose: The Manager - Data Science is responsible for supporting on developing and delivering the product vision and roadmap in close collaboration with our product developers, data engineers and data analysts who are spearheading the Advanced Analytics transformation across Majid Al Futtaim Retail. Majid Al Futtaim Retail is continuing to develop and build its analytics talent to support its advanced analytics agenda. The various analytics use cases launched by the Retail Analytics Unit on a start-up mode will establish the unit’s foundation to develop a powerful product portfolio following it’s sustainable growth. As such, team members are given the latitude to shape the trajectory of the unit and bring their ideas and visions into fruition. He/she will be at the forefront of enhancing the Advanced Analytics value proposition, in line with the long-term digital and non-digital objectives of Majid Al Futtaim. Minimum Qualifications/education: - Bachelor’s Degree in an IT-related field or Computer Engineering from a premier institute - Master’s Degree in a similar field is preferred Minimum and preferred experience: - 7+ years in a senior Data Scientist role in an international environment; building advanced analytics models/solutions/products with the ability to demonstrate value and track record - 2+ years in the Retail/FMCG business is preferred - Preferred Experience with delivering Retail commercial solutions : - Pricing and Promotions optimization/Forecasting, Category/Range optimization - Performance KPIs and Metrics in Retail analytical solutions - AI/GenAI experience is an added advantage over and above the minimum requirements Skills: - Experience in several visualization tools such as PowerBI, Qlik, BO etc. - Proficiency in various programming languages is a must, such as Python/SQL/ PySpark - Strong knowledge of algorithm/modeling techniques is a must, such as Logistic Regression, Linear Regression, Clustering, Decision Trees, Randfom Forest, SVM, KNN etc. - Good experience in deploying machine learning models on cloud services (Azure etc.) - Experience in time series forecasting, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet - Experience in data visualization software and packages (Power BI, matplotlib, d3, highcharts) - Advanced experience in Azure, Spark, and git-Basic as well as understanding of web application framework (Django, Flask, HTML, JavaScript, CSS, Ajax, jQuery etc.) - Collaborative, pragmatic and proactive problem solver - Proven ability to deliver initiatives from conception through to completion, sound understanding of the analytics ecosystem and value chain from both a business and a technical standpoint - Ability to work independently and in cross-functional teams - Strong business communication and presentation skills with proven experience managing executive-level communications - Excellent organizational skills with the ability to prioritize workload - Strong English language skills (Speaking, Reading and Writing) with exceptional business writing, Arabic is a plus - Proficient in MS Office (Excel, Word, PowerPoint)

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