Manager Data Science Product (Retail Commercial)

The Manager Data Science Product 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 units foundation to develop a powerful product portfolio following its 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

Responsibilities:

Designing, Testing & Implementing data model
Design methodologies to estimate business value and track adoption of the developed solutions
Leverage expertise in quantitative analysis, data mining, and data manipulation to develop high quality, advanced statistical models, and partner with product owners advising on approach and solutioning
Enhance new algorithms to address structured/unstructured Retail Analytics problems, and improve existing algorithms to achieve data-driven decision making
Lead the development/enhancement of scalable, advanced models for new and existing solutions; and validate and optimize modelsperformance Lead the solution development process from proof of concept through to deployment stage
Run experiments to assess models results, analyze projects key metrics and develop impact measurement framework
Ideate and develop proof of concepts for new analytics initiatives having a customer-centric approach
Build new and creative analytics products with the aim of optimizing the user experience and business operations
Actively participate in squad meetings, update teams on the progress using proper sprint documents, communicate effectively with technical and non-technical audience elaborating on the models and recommending data-driven solutions
Develop talent and build the Data Scientist/Analyst NextGen skilled and fully engaged team members
Coordination and Communicatiions
Act as a thought partner to the analytics team and other key stakeholders, to identify the scope of improvement and drive the right processes to deliver on the business objectives
Liaise with the product team to implement new modules, maintain and release production pipelines in a timely and responsible manner
Ensure regular information exchange with all relevant stakeholders and update them on the development progress across projects
Contribute to the development of presentations on advanced analytics and performance in key areas of the business and communicate results across the organisations
Build relationships and maintain strong partnerships with key personnel to help achieve organisational goals
Collaborate with key stakeholders to ensure clarity of the specifications and expectations of the Retail Analytics Unit
Audit and Reporting
Responsible for the preparation of business presentations and reports related to Retail Analytics for various stakeholders, on periodic and ad hoc basis as and when required
Support on performing regular audit of various processes and databases for the Retail Analytics Unit in order to identify gaps and risks, and propose corrective actions
Policies and Procedures
Support on developing and reviewing the Retail Analytics policies and procedures and ensure it is implemented and reported on as a part of the policies and procedures for the Retail Analytics Unit
Support on the development and implementation of relevant policies and procedures

Minimum Qualifications/educations
Bachelors Degree in an IT-related field or Computer Engineering from a premier institute
Masters Degree in a similar field is prefered

Minimum and preferred experience
5-8 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 prefered
Preferred Experience with delivering Retail commercial solution
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 requiremements

Skills
Experience in several visualization tools such as PowerBI, Qlik, BO
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\
Good experience in deploying machine learning models on cloud services (Azure)
Experience in time series forecasting, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNetExperience 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