Data Scientist (Sales), Pasig

Advanced Data Analytics

• Translate complex model results into clear visuals, narratives, and management-ready insights that explain forecast movements, risks, and sensitivities
• Prepare analytical inputs, reconciliation notes, and scenario narratives to support forecast reviews and executive decision discussions
• Collaborate with the Sales Analytics Lead to convert model outputs into decision-oriented insights and support stakeholder discussions

Strategic Insights & Communication

• Partner with the Sales Analytics Lead and analytics associates to translate business and analytical requirements into structured data models and analytics-ready datasets
• Provide clear data definitions, lineage, and documentation to support transparency of forecasts, metrics, and reports
• Support development of management dashboards by ensuring stable data feeds, optimized performance, and timely issue resolution

Market Intelligence

• Incorporate external market, macroeconomic, and regulatory data into forecasting models to improve accuracy and relevance
• Benchmark internal forecasts against external economists, industry reports, and competitor projections
• Identify emerging demand shifts by combining model outputs with external insights and performance trends

Technical Competencies

• Strong foundation in statistical modeling and time-series analysis (e.g., ARIMA, Prophet), and applied machine learning for forecasting
• Proficiency in Python and/or R for data analysis, modeling, and validation
• Experience handling large, multi-source datasets with focus on data quality and performance
• Knowledge of model evaluation techniques such as cross-validation, error analysis, and scenario testing
• Ability to translate technical outputs into clear business insights and visualizations (e.g., Power BI)
• Familiarity with data engineering pipelines and governed analytics environments

Qualifications

• Bachelors degree in a quantitative field (e.g., Statistics, Economics, Data Science, Engineering, Finance, or related)
• At least 3 years of experience in data science, analytics, forecasting, or quantitative roles
• Certifications in Data Analytics, Forecasting, or Financial Modeling are an advantage
• Experience in energy, utilities, or conglomerate environments (similar to Meralco structure) is preferred

Demonstrated Expertise In:

• Exploratory data analysis, visualization, and insight generation
• Data analytics frameworks and business impact analysis
• Stakeholder engagement to understand objectives, processes, and challenges
• Delivering data-driven recommendations across the analytics lifecycle