Key Responsibilities

• Lead end-to-end forecasting strategy using advanced statistical and machine learning models (SARIMAX, ARIMA, LightGBM, Prophet, TFT, RNN, LSTM etc.) for complex business scenarios.
• Own forecasting lifecycle from data ingestion, preprocessing, and model development using advance feature engineering to deployment and performance optimization.
• Design scalable data pipelines and ETL processes leveraging Azure Data Factory (ADF) and other cloud-based tools.
• Implement automation and optimization for forecasting workflows to improve efficiency and accuracy.
• Develop advanced data collection techniques, including Python-based web scraping and API integrations for real-time data ingestion.
• Perform deep-dive analytics and visualization using MS Excel, Power BI, or similar tools to support decision-making.
• Collaborate with cross-functional teams (Operations, Marketing, Finance) to incorporate qualitative insights and align forecasts with business objectives.
• Ensure data security and compliance, including MFA implementation and governance standards.
• Mentor junior analysts and contribute to building forecasting best practices across the organization.
• Present strategic insights and recommendations to senior leadership through impactful reports and presentations.

Skill Requirements

• 5+ years of experience in forecasting, machine learning, and statistical modeling.
• Proven expertise in Python, Azure Data Factory, and ETL design.
• Strong foundation in data interpretation, feature extractions and insight evaluation.
• Strong knowledge of time-series forecasting techniques and evaluation methodologies such as RMSE, MSE, MAPE etc.
• Excellent analytical, problem-solving, and stakeholder management skills.
• Ability to lead projects independently and manage multiple priorities.
• Strong communication and presentation skills for executive-level reporting.

Other Requirements

• Experience in Contact Center or Service Operations forecasting.
• Familiarity with AI/ML frameworks and cloud-based data solutions.
• BTech/MTech in Data Science, Statistics, Computer Science, or related field.