Data Scientist-Advanced Analytics

Key Responsibilities:

Data Analysis & Modeling

• Implement and validate predictive models, using statistical and machine learning techniques focused on big data.
• Contribute to the design and maintenance of statistical models for advanced analytics.
• Develop Proof of Concepts (POCs) to validate AI and ML solutions for business challenges.

AI & Gen AI Integration

• Showcase Gen AI code assistant capabilities for code refactoring, rewriting, and documentation across languages.
• Explore code generation, matching, and translation using LLM capabilities.
• Evaluate emerging AI and machine learning technologies for solution design and implementation.

Data Architecture & Enterprise Search

• Design and implement enterprise search applications such as Elasticsearch and Splunk based on client requirements.
• Document solution architectures, design decisions, implementation details, and lessons learned.
• Stay updated on AI advancements, foundation models, and large language models.