Data Scientist

Data Scientist focuses on collaborate with cross-functional teams and leverage cutting-edge technologies to deliver impactful results.

What the role involves

• Collaborate with cross-functional teams and leverage cutting-edge technologies to deliver impactful results.
• Develop, and optimize SQL queries, data models, and performance tuned databases across multiple storage systems.
• Maintain end to end data pipelines using Azure Databricks, MongoDB, Gremlin DB, Azure Blob Storage, and related technologies.
• Manage backup, recovery, redundancy, and data governance practices to ensure high data reliability.
• Develop and deploy ML workflows in Azure Databricks with MLflow, and integrate systems through API based data ingestion.
• Supporting automation and DevOps initiatives using Azure DevOps, including CI/CD pipelines for data and analytics solutions.

Skills and requirements

• Strong hands-on experience with SQL for managing databases, writing complex queries, and performance tuning.
• Ops: Knowledge of Azure Dev.
• Experience with workflows and coordination across documents and able to maximize automation.
• Experience with Azure AI Foundry.

Candidate fit

• automation discipline, troubleshooting, documentation, and confidence with operational reliability