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 solid 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

📌 Senior Manager Data Science,Forecasting (Hyderabad)
🏢 Careernet
📍 Hyderabad