Lead Analyst Machine Learning Forecasting

As a Lead Analyst specializing in Machine Learning Forecasting, your role will involve leading advanced predictive modeling initiatives and driving strategic insights for business planning. You must possess strong expertise in statistical modeling, machine learning algorithms, and data engineering. Additionally, your leadership skills will be crucial for managing projects and mentoring team members effectively. Your key responsibilities will include: - Leading end-to-end forecasting strategy using advanced statistical and machine learning models such as ARIMA, SARIMA, ETS, Holt-Winters, etc., for complex business scenarios. - Owning the forecasting lifecycle from data acquisition, preprocessing, and model development to deployment and performance optimization. - Designing scalable data pipelines and ETL processes by leveraging tools like Azure Data Factory (ADF) and other cloud-based solutions. - Implementing automation and optimization for forecasting workflows to enhance efficiency and accuracy. - Developing advanced data collection techniques, including Python-based web scraping and API integrations for real-time data ingestion. - Performing deep-dive analytics and visualization using tools like MS Excel, Power BI, or similar platforms to facilitate decision-making. - Collaborating with cross-functional teams (Operations, Marketing, Finance) to integrate qualitative insights and align forecasts with business objectives. - Ensuring data security and compliance, including MFA implementation and governance standards. - Mentoring junior analysts and contributing to the establishment of forecasting best practices across the organization. - Presenting strategic insights and recommendations to senior leadership through impactful reports and presentations. Requirements for this role include: - 5+ years of experience in forecasting, machine learning, and statistical modeling. - Proven expertise in Python, Azure Data Factory, and ETL design. - Strong knowledge of time-series forecasting techniques and testing methodologies. - Excellent analytical, problem-solving, and stakeholder management skills. - Ability to independently lead projects and manage multiple priorities effectively. - Strong communication and presentation skills suitable for executive-level reporting. Preferred Qualifications: - Experience in Contact Center or Service Operations forecasting. - Familiarity with AI/ML frameworks and cloud-based data solutions. - An advanced degree in Data Science, Statistics, Computer Science, or a related field. If you are interested in this opportunity, please share your updated CV on [HIDDEN TEXT]. As a Lead Analyst specializing in Machine Learning Forecasting, your role will involve leading advanced predictive modeling initiatives and driving strategic insights for business planning. You must possess strong expertise in statistical modeling, machine learning algorithms, and data engineering. Additionally, your leadership skills will be crucial for managing projects and mentoring team members effectively. Your key responsibilities will include: - Leading end-to-end forecasting strategy using advanced statistical and machine learning models such as ARIMA, SARIMA, ETS, Holt-Winters, etc., for complex business scenarios. - Owning the forecasting lifecycle from data acquisition, preprocessing, and model development to deployment and performance optimization. - Designing scalable data pipelines and ETL processes by leveraging tools like Azure Data Factory (ADF) and other cloud-based solutions. - Implementing automation and optimization for forecasting workflows to enhance efficiency and accuracy. - Developing advanced data collection techniques, including Python-based web scraping and API integrations for real-time data ingestion. - Performing deep-dive analytics and visualization using tools like MS Excel, Power BI, or similar platforms to facilitate decision-making. - Collaborating with cross-functional teams (Operations, Marketing, Finance) to integrate qualitative insights and align forecasts with business objectives. - Ensuring data security and compliance, including MFA implementation and governance standards. - Mentoring junior analysts and contributing to the establishment of forecasting best practices across the organization. - Presenting strategic insights and recommendations to senior leadership through impactful reports and presentations. Requirements for this role include: - 5+ years of experience in forecasting, machine learning, and statistical modeling. - Proven expertise in Python, Azure Data Factory, and ETL design. - Strong knowledge of time-series forecasting techniques and testing methodologies. - Excellent analytical, problem-solving, and stakeholder management skills. - Ability to independently lead projects and manage multiple priorities effectively. - Strong communication and presentation skills suitable for executive-level reporting. Preferred Qualifications: - Experience in Contact Cen