Data scientist

Roles & Responsibilities:

• Design, develop, and deploy end-to-end machine learning models using Databricks and PySpark.
• Extract, clean, and preprocess large datasets from Snowflake and SQL databases to support model development.
• Perform feature engineering, model selection, training, and hyperparameter tuning.
• Implement and optimize production-ready ML pipelines in Databricks using MLFlow and Spark.
• Analyze model performance and communicate insights and recommendations to stakeholders.
• Collaborate with data engineers, business analysts, and domain experts to understand data requirements and business context.
• Continuously research and implement best practices in AI/ML, big data, and cloud computing.