Product Manager

Responsibilities

Designing, Testing & Implementing data models

• 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 models’ performance
• Lead the solution development process from proof of concept through to deployment stage
• Run experiments to assess model’s results, analyze project’s 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
  

Coordination and Communication

• 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 organisation
• 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/education

• Bachelor’s Degree in an IT-related field or Computer Engineering from a premier insitute
• Master’s Degree in a similar field is preferred
  

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 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, 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 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