Description

You will apply advanced data science concepts to deliver data-driven digital offerings and insights using Databricks Lakehouse architecture.

Responsibilities

• Develop, test, deploy, and maintain machine learning and AI models using Databricks Runtime for ML.
• Build scalable ML solutions and deliver actionable insights by collaborating with cross-functional teams.
• Lead data-driven decision-making, covering data collection, analysis, implementation, and monitoring using Databricks Jobs and CI/CD pipelines.
• Design and implement data architectures using Delta Lake and manage assets securely via Unity Catalog.
• Mentor data scientists, ASPIREs, and interns on technical growth and best practices.

Required Skills

• 7+ years of experience in Data Science, Information Systems, Computer Science, Engineering, or a relevant field.
• 2 to 3 years of experience as a Senior Data Scientist.
• Advanced proficiency in Python, PySpark, and SQL.
• Hands-on experience with Databricks, Azure ML, and Dataiku.
• Experience with database technologies including Delta Lake, Azure Data Lake, SQL Warehouses, and Synapse Analytics.
• Deep understanding of Azure Cloud resources, including Azure Machine Learning and Azure DevOps.
• Skilled in developing scalable ML solutions and translating analytics into business impact.
• Proficiency in machine learning, data mining, statistical analysis, and applied AI methods.
• Strong written and verbal communication skills to translate complex data into actionable insights.

Key Skills

Education

Any Graduate