Senior Data Scientist Jobs in Dubai | Majid Al Futtaim

Senior Data Scientist Jobs in Dubai | Majid Al Futtaim

Job Responsibilities:

• Lead a team of 4+ data scientists & external vendor consultants while delivering effective analytical solutions to complex business problems for the Retail/ Properties/ Leisure, Entertainment & Lifestyle sectors
• Provide oversight/ carry out hands-on development of Predictive Models, Segmentation, Optimization algorithms, etc. using Machine Learning techniques on large volumes of structured and unstructured data.
• Manage the delivery lifecycle while proactively identifying problems that may arise in the project, outlining options, recommending solutions, and escalating as needed
• Champion the needs of business teams and stakeholders throughout the development process, ensuring deliverables are aligned with the original goals and objectives
• Challenge current best thinking, test theories, evaluate data science and machine learning concepts and iterate rapidly while owning the deliverables and managing team’s priorities/timelines
• Develop best practice analytic frameworks, tools and other assets by working with vendors, scale to other opcos
• Draft policies & procedures / establish process adherence to Data Science workflows, model lifecycle management, technical documentation and knowledge repository management
• Define the inventory of tools that data scientists use to deliver a use case with clear standards to handle an increasing heterogeneity of data science toolkits
• Support advocacy of a data driven culture – Organize/participate in internal events, tech talks to increase the adoption of DS across MAF
• Share and communicate – Create a medium where data achievements can be shared and celebrated with the community of Data Science practitioners
• Provide technical expertise to federated analytics teams within MAF Opcos, fostering an environment of collaboration
• Contribute towards building a culture that promotes continuous learning, development and retention of data science talent
• Work closely with Data Engineering team to guide them on structuring relevant data to facilitate data exploration and fast prototyping, report data quality issues.
• Collaborate with Product, DevOps and other teams to test, deploy, scale and monitor ML models as components to Data based products/ Use Cases