Job Summary
Key Responsibilities
2. Conduct In-Depth Analysis Using Sql To Extract, Clean, And Manipulate Data, Driving Resolution Of Critical Issues And Optimizing Overall Performance.
3. Validate And Interpret Results From Machine Learning Models, Crafting Comprehensive Reports And Presenting Findings To Stakeholders To Influence Key Decisions.
4. Monitor And Ensure Data Accuracy And Completeness Within The Analysis Pipeline, Implementing Preventive Measures To Deliver Reliable Insights For Downstream Decision-Making.
5. Gather Requirements And Prepare Methodologies For Analysis, Ensuring Clarity In Design Specifications And Alignment With Business Needs.
Skill Requirements
Python, ML
Cloud , ELK/Kibana
Query Performance /Optimization, Agentic AI architecture and orchestration
1. Strong Understanding Of Machine Learning Concepts And Methodologies
2. Proficiency In Python For Data Analysis And Model Building
3. Familiarity With Tensorflow And Pytorch For Developing Machine Learning Solutions
4. Experience With Sql For Data Extraction And Manipulation
5. Knowledge Of Data Validation Techniques And Performance Optimization Strategies
Other Requirements
1. Optional But Valuable: Tensorflow Developer Certificate
2. Optional But Valuable: Microsoft Certified: Azure Data Scientist Associate
Experience processing large-scale logs and customer analytics data, Agent memory and knowledge retrieval, Kibana, ELK Stack, Adobe Analytics, Data Pipelines, Event Processing, Log Mining, Python, SQL