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

Key Skills

Education

Any Graduate