Senior Data Scientist

• Build and maintain data pipelines using Databricks, Spark, and Azure services.
• Develop, deploy, and monitor machine learning models in production environments.
• Contribute to architecture decisions and drive improvements in engineering best practices.
• Integrate modern AI technologies, such as MCP and AI Agents, into data workflows.
• Lead problem-solving for complex technical challenges across data and ML systems.
• Mentor junior team members and support their technical growth.
• Own and deliver medium to large data products with minimal guidance.
• Collaborate with internal and external stakeholders across technical and non-technical teams

Do you have experience in Spark?, * 6+ years of experience in Data Science or a related field.

• Strong expertise in machine learning, model development, and production deployment.
• Experience with Databricks, Spark, and building scalable data pipelines.
• Working knowledge of Azure cloud services and infrastructure.
• Ability to design performant, maintainable, and well-tested software solutions.
• Strong problem-solving skills with the ability to handle complex technical challenges.
• Experience breaking large tasks into clear deliverables and planning work independently.
• Ability to communicate clearly with cross-functional teams, * Experience with Model Context Protocol (MCP) for integrating AI into tooling.
• Understanding of AI Agents and agent frameworks.
• Experience with CI/CD for data and ML pipelines.
• Background in mentoring teams or supporting hiring processes.
• Familiarity with operational excellence practices for ML systems