Data Scientist/Engineer (Python, SQL)

- Develop and manage scalable data pipelines using Azure technologies to handle large data volumes. - Ensure effective transformation, cleansing, and ingestion of data from various structured and unstructured sources with proper error handling. - Optimize data storage solutions to promote cost-effective and efficient practices. - Collaborate with Machine Learning Engineers and Architects to deploy machine learning models into production. - Build automated systems to monitor model performance, detect drift, and facilitate retraining processes as needed. - Maintain version control for models, data, and code to ensure reproducibility of ML experiments. - Ingest and preprocess both structured and unstructured data utilizing relevant Azure tools. - Conduct exploratory data analysis to generate actionable insights using data analysis notebooks. - Assess data quality and recommend strategies for data cleansing or remediation. - Monitor performance of data pipelines and workloads, identifying opportunities for optimization. - Communicate technical findings and requirements effectively with cross-functional teams. - Document all data workflows, experiments, and model implementations to ensure knowledge sharing and operational continuity.