Senior Manager Data Science,Forecasting

Company: A Large Global Organization Key Skills: Machine Learning, People Management, Forecasting, Bayesian Statistics, Timeseries, Data Science, KPI, Appraisal, Team Management, Performance metrics, Python Roles and Responsibilities: Lead development of forecasting solutions using machine learning and Bayesian statistics for time series problems. Own model lifecycle activities including problem framing, feature/model development, validation, and performance monitoring. Provide hands-on coding support (20-30%) to implement and iterate on forecasting pipelines and experiments. Manage a team of ~6-7 members, including mentoring, technical guidance, and delivery planning. Drive people management practices: appraisals, KPI setting, performance management, and continuous improvement. Skills Required: 12-15 years of relevant experience in data science and forecasting, including at least 5 years of people management Machine learning with practical experience building and improving predictive models. Bayesian statistics and Bayesian programming for forecasting and uncertainty-aware modeling. Time series forecasting expertise, including data preparation, evaluation, and model tuning. Data science fundamentals with strong ability to translate business needs into analytical solutions. Good to Have: Python for hands-on implementation of forecasting and analytics workflows. Experience with KPI setting, performance metrics, and structured appraisal cycles. Education: Any Graduation, Any Post Graduation Company: A Large Global Organization Key Skills: Machine Learning, People Management, Forecasting, Bayesian Statistics, Timeseries, Data Science, KPI, Appraisal, Team Management, Performance metrics, Python Roles and Responsibilities: Lead development of forecasting solutions using machine learning and Bayesian statistics for time series problems. Own model lifecycle activities including problem framing, feature/model development, validation, and performance monitoring. Provide hands-on coding support (20-30%) to implement and iterate on forecasting pipelines and experiments. Manage a team of ~6-7 members, including mentoring, technical guidance, and delivery planning. Drive people management practices: appraisals, KPI setting, performance management, and continuous improvement. Skills Required: 12-15 years of relevant experience in data science and forecasting, including at least 5 years of people management Machine learning with practical experience building and improving predictive models. Bayesian statistics and Bayesian programming for forecasting and uncertainty-aware modeling. Time series forecasting expertise, including data preparation, evaluation, and model tuning. Data science fundamentals with strong ability to translate business needs into analytical solutions. Good to Have: Python for hands-on implementation of forecasting and analytics workflows. Experience with KPI setting, performance metrics, and structured appraisal cycles. Education: Any Graduation, Any Post Graduation