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MR DIY Malaysia

Data Scientist (Category Optimisation & Allocation) Executive

1-3 Years
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  • Posted 22 hours ago
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Job Description

Key Responsibilities

  • What-if Simulation Develop simulation models to evaluate business scenarios. Assess 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 analytics that is impactful and able to drive business on various platform eg. dashboard
  • Prediction and Forecast models (Added advantage) Build and maintain forecasting models
  • Model Evaluation (Added advantage) Evaluate model accuracy by using suitable metrics
  • Data Analysis Collects, cleans, and analyzes data to identify trends, patterns, and insights to improve procurement strategies.
  • Process Improvement (Added advantage) Identifies process gaps, proposing solutions and build the solution to improve work efficiency
  • Any other tasks as assigned.

Requirements

  • Education: A background in analytics, business, economics, engineering, mathematics, or related fields.
  • Experience: 1–2 years of experience in retail, supply chain, FMCG, or procurement is preferred.
  • Technical Skills: Proficiency in data analysis tools (Excel, SQL, BI tools,Python (pandas, sklearn)) and structured thinking.
  • Interpersonal Skills: Strong ability to communicate analytical findings to stakeholders Strong analytical and problem-solving skills
  • Fresh graduate are encourage to apply.

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.

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About Company

Job ID: 147387049

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Machine LearningPandasPredictive ModelingSklearnPythonSqltime series forecasting