Assistant Manager (Category Optimisation & Allocation)
MR D.I.Y. Group
Key Responsibilities:
- Prediction and Forecast Models
Build and maintain forecasting models to support business planning and decision-making
- Model Evaluation
Evaluate model accuracy using appropriate metrics and continuously improve model performance
- What-if Simulation
Develop simulation models to evaluate business scenarios Assess the impact of pricing, display, and stock changes
- Allocation Optimization
Design optimization models for inventory allocation across stores Balance constraints such as stock availability, demand, and capacity
- Dashboarding and Analytics
Create and maintain impactful analytics that drive business decisions across various platforms (e.g., dashboards)
- Data & Collaboration
Work with data stakeholders to ensure reliable data pipelines and translate business requirements into analytical solutions
- Stakeholder Management
Communicate and collaborate with stakeholders from diverse backgrounds (e.g., IT and business) Translate requirements into clear and understandable terms for all relevant parties
- Project Management (good to have)
Manage end-to-end project delivery, including defining scope, timelines, priorities, and stakeholder engagement
- Decision Making
Propose data-driven ideas such as optimizing machine learning models and alternative solutions Plan and execute initiatives effectively
- Any Other Tasks as Assigned
Requirements:
- Minimum 3-5 years of relevant experience in a similar field
- Possess at least a Bachelor’s Degree in Computer Science, Data Science, Information Technology, or an equivalent combination of education and practical experience
- Strong proficiency in Python (e.g., libraries such as pandas, sklearn) and SQL
- Hands-on experience in time series forecasting and predictive modeling
- Excellent analytical and problem-solving skills with a data-driven mindset
- Solid understanding of Machine Learning concepts and techniques
- Proven experience in project management, including planning, execution, and delivery (good to have)
- Strong stakeholder management skills, with the ability to engage and collaborate across diverse teams (good to have)
- Demonstrated critical and creative thinking abilities
- Effective problem-solving skills with the ability to develop practical and innovative solutions
Skills
- Analytical
- Machine Learning
- Pandas
- Problem solving
- Project Management
- Python
- Scikit learn
- SQL
- Stakeholder management
- Teamwork


