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

MR D.I.Y. is a home-grown enterprise with over 1,300 stores across Malaysia and Brunei. The home improvement retailer has dedicated to make a positive difference in the lives of its valued customers by offering convenience at all its stores nationwide and online at mrdiy.com.my

All MR. D.I.Y. stores are managed directly and the retailer often works in collaboration with owners of shopfront properties or owners of malls. MR. D.I.Y. stores offer a wide selection of SKUs across five major categories, namely hardware; household and furnishing; electrical; stationery and sports equipment products; and others (comprising toys, car accessories, jewellery, cosmetics, food and beverage items, as well as health and personal care).

The Company strives to put its customers first by operating an innovative business that is flexible when it comes to providing a wide variety of products, good quality and value-for-money, holding true to the Company's motto of Always Low Prices.

Data Scientist - Senior Executive / Assistant Manager (Category Optimisation & Allocation)