Senior Data Scientist

Job description

**Key Skills:** Forecasting, Data Scientist, Bayesian Statistics, Python, Timeseries, MySQL, Deep Learning, MLOps, AI/ML, Databricks, Analytics **Roles and Responsibilities:** - Design and develop forecasting and time series models using statistical and Bayesian approaches. - Build and evaluate deep learning models, including CNN-based architectures, for predictive analytics. - Perform data analysis and feature engineering to improve model performance and reliability. - Develop end-to-end ML workflows, including experimentation, validation, and model monitoring concepts. - Work with data stored in MySQL and support scalable data/ML pipelines in Databricks environments. **Skills Required:** - 8 - 12 years of relevant experience in data science and predictive modeling - Data Scientist experience with end-to-end predictive modeling and analytics delivery. - Bayesian Statistics and strong statistical modeling for forecasting. - Time series and forecasting expertise, including model evaluation and iteration. - Python and deep learning (CNN, deep learning) with practical integration to MySQL-backed data. Good to Have: - Analytics background, MLOps practices, AI/ML delivery experience, and Databricks exposure. **Education:** Any Graduation, Any Post Graduation