Data Analyst / Data Science - Senior Executive / Assistant Manager (Category Optimisation & All[...]

MR DIY Malaysia

Seri Kembangan

On-site

MYR 90,000 - 150,000

Full time

14 days+

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Job summary

MR D.I.Y. is seeking a data science professional to build and maintain forecasting models to support business planning and decision-making.

The role includes evaluating model accuracy, developing what-if simulations to test pricing, display, and stock changes, and designing inventory allocation across stores. You will create dashboards and collaborate with data stakeholders to translate requirements into analytic solutions.

Qualifications

  • 3–5 years of relevant experience in data analytics or data science.
  • Bachelor’s degree in CS/DS/IT or equivalent.
  • Strong Python (pandas, sklearn) and SQL proficiency.
  • Experience in time series forecasting and predictive modeling.
  • Analytical, data-driven mindset with problem-solving skills.
  • Understanding of ML concepts; PM and stakeholder mgmt experience are a plus.

Responsibilities

  • Predict and forecast models to support business planning and decision-making.
  • Evaluate model accuracy using appropriate metrics and continuously improve model performance.
  • Develop simulation models to evaluate business scenarios; assess impact of pricing, display, and stock changes.
  • Design optimization models for inventory allocation across stores; balance stock availability, demand, and capacity.
  • Create and maintain analytics and dashboards to drive business decisions.
  • Work with data stakeholders to ensure reliable data pipelines and translate business requirements into analytics.

Skills

Python
SQL
Time series forecasting
Predictive modeling
Analytical thinking
Machine Learning concepts
Project management
Stakeholder management
Creative problem-solving

Education

Bachelor’s degree in Computer Science / Data Science / Information Technology

Tools

Pandas
scikit-learn

Job description

  • 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
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”.

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