Data Scientist Executive (Decision Intelligence)

Drive business decisions through data analysis, simulation, inventory optimization, dashboarding & forecasting. Deliver insights, improve processes & support procurement and supply chain strategies.

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:

• Able to think from business perspective first.
• A background in analytics, business, economics, engineering, mathematics, or related fields.
• 1–2 years of experience in retail, supply chain, FMCG, or procurement is preferred.
• Proficiency in data analysis tools (Excel, SQL, BI tools, Python (pandas, sklearn)) and structured thinking.
• Strong ability to communicate analytical findings to stakeholders.
• Strong analytical and problem-solving skills.