Data Scientist Executive (Decision Intelligence)

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.