Assistant Manager Data Science (Category Optimization & Allocation)

MR D.I.Y Trading Sdn Bhd

Kajang , Bandar Baru Bangi, Seri Kembangan

On-site

MYR 120,000 - 180,000

Full time

2 days ago
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Job summary

MR D.I.Y Trading Sdn Bhd is seeking an Assistant Manager Data Science to lead category optimization and allocation initiatives. You will build forecasting models, evaluate accuracy, and define What-if scenarios to balance stock with demand and store capacity.

You will develop dashboards and analytics, ensure reliable data pipelines, and collaborate with IT and business stakeholders to translate requirements into actionable insights.

Qualifications

  • 3–5 years of relevant experience in data science/analytics.
  • Bachelor's degree in CS/DS/IT or equivalent.
  • Strong Python skills (pandas; sklearn) and SQL.
  • Hands-on time series forecasting and predictive modeling.
  • Excellent analytical and problem-solving abilities with a data-driven mindset.
  • Experience in project management and stakeholder collaboration is a plus.

Responsibilities

  • Prediction and Forecast Models: Build and maintain forecasting models.
  • Model Evaluation: Assess accuracy using appropriate metrics.
  • What-if Simulation: Define scenarios and assess impact.
  • Allocation Optimization: Balance stock, demand and capacity constraints.
  • Dashboarding and Analytics: Create impactful analytics and dashboards.
  • Data & Collaboration: Ensure reliable data pipelines and translate requirements.
  • Stakeholder Management: Communicate with IT and business teams.
  • Project Management: Plan and deliver end-to-end initiatives.

Skills

Python
SQL
Forecasting
Predictive modeling
Data analysis
Stakeholder management
Project management
Machine Learning concepts

Education

Bachelor's degree in Computer Science, Data Science or IT

Tools

Pandas
Scikit-learn

Job description

Assistant Manager Data Science (Category Optimization & Allocation)

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 Apply strong business understanding to define realistic scenarios, assumptions and constraints. Evaluate not only statistical/model outcomes, but also the commercial and operational impact of proposed changes.

Allocation Optimization
Balance technical optimization with practical business constraints such as stock availability, demand, store capacity, and operational feasibility. Challenge model recommendations when results do not align with business reality.

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
Evaluate data and model outputs to make informed decisions. Consider business impact, risks and feasibility, and plan and execute agreed initiatives effectively.

Business Understanding & Problem Solving
Understand business needs and key retail operations. Translate business problems into clear analytical questions and measurable KPIs, and identify suitable approaches to solve them.

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

As we continue our rapid expansion across the Klang Valley and other states in Malaysia, we're seeking passionate and qualified Malaysian to join our growing team.

In 2024, we recorded an Employee Satisfaction Score of 91% - a meaningful benchmark that reflects our ongoing commitment to creating a workplace where people thrive.

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".

From a single store in 2005 on Jalan Tuanku Abdul Rahman, Kuala Lumpur, MR.DIY has evolved to become a household name associated with home improvements and more by providing convenience, accessibility and affordability to all; to meet the needs of Malaysians from all walks of life.

From a single store in 2005 on Jalan Tuanku Abdul Rahman, Kuala Lumpur, MR.DIY has evolved to become a household name associated with home improvements and more by providing convenience, accessibility and affordability to all; to meet the needs of Malaysians from all walks of life.

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