DriveBusinessGrowthThroughDataDrivenInsights

As a seasoned Data Insight Expert, you will play a pivotal role in driving business growth through data-driven insights and informed decision-making.

The ideal candidate will have 5-7 years of experience in data science, with a strong background in Python programming and data pipelining tools like PowerBI, Microsoft Excel, and Confluence.

Experience with GenAI (basic), GCP (preferred), RAG & Agentic workflow exp (nice to have), and MLOps (good to have) is highly desirable.

Key Responsibilities:

• Develop and implement data pipelines using Python and data science tools
• Collaborate with cross-functional teams to drive business outcomes through data-driven insights
• Design and implement data visualizations using PowerBI, Microsoft Excel, and Confluence
• Stay up-to-date with industry trends and advancements in data science and GenAI

Requirements:

• 5-7 years of experience in data science
• Strong background in Python programming
• Experience with data pipelining tools like PowerBI, Microsoft Excel, and Confluence
• Basic understanding of GenAI concepts and use cases
• Experience with GCP (preferred) and AWS

Nice-to-Have Skills:

• RAG (Retrieval Augmented Generation): 1 year experience related to GenAI workflows
• Agentic Workflows: 1 year experience with agentic GenAI systems
• MLOps: Experience with setting up MLOps using Terraform