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:

• Bachelor’s Degree in Analytics, Data Science, Business, Economics, Engineering, Mathematics, or a related field.

• 1–2 years of relevant experience in retail, supply chain, FMCG, procurement, analytics, or a related field is preferred.

• Proficiency in Excel, SQL, BI tools, and Python (e.g. pandas, scikit-learn). Strong analytical, problem-solving, and structured-thinking skills.

• Good communication skills with the ability to present data insights and recommendations to stakeholders.

• Knowledge of forecasting, predictive modelling, or machine learning is an added advantage.

• Able to think from a business perspective and translate business problems into data-driven solutions.