Key Responsibilities

Data Science Solutions:

• Develop and deliver forecasting models for KPIs critical to business planning and financial reporting. Utilize time series-based algorithms (e.g., Prophet, ARIMA, and variants), machine learning algorithms (e.g., XGBoost, LightGBM), and deep learning algorithms (e.g., LSTM, GRU, DeepAR, TCN)
• Scale existing models to different geographies, ensuring they are adaptable and effective across diverse regions
• Conduct data feasibility analysis, including data preparation and cleaning to ensure high-quality inputs for modeling
• Observe trends from data and leverage these trends to support feature engineering and enhance model performance
• Work closely with local and global teams in Planning, Marketing, Operations, and Data Engineering to ensure seamless integration of data science solutions
• Clearly translate complex business problems into data science and analytics solutions, incorporating feedback from business stakeholders
• Maintain quality, set good development practices, and define standards that keep the focus on the right things
• Support deep-dives, ad-hoc analysis and contextual dashboards with relevant platforms and channels
• Develop and maintain a strong stakeholder network with high level of trust that facilitates action- ability of insights