Senior Manager Data Science,Forecasting_100858

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