Data Scientist

Responsibilities

1. RAG Architecture & Pipeline Design

• Design and maintain RAG that connects CRM to LLM to provide grounded, fact bases AI responses.

1. Vector Search & NLP

• Implement and maintain vector embeddings for entities to enable semantic search and integration with LLM for generative AI features.

1. MCP Server Development

• Design and deploy MCP to bridge LLM with existing Data sources for real-time Retrieval.

1. Generative AI Integration

• Utilize LLMs to synthesize retrieved data into accurate, user friendly natural language responses.

1. Performance Optimization

• Evaluate and optimize the end-to-end latency of search and generation.

1. Data Analysis

• Collect, analyze, and interpret large datasets to identify trends, patterns, and insights that can inform business decisions.

1. Technical Leadership

• Lead code reviews, ensuring adherence to coding standards, best practices, and quality requirements.
• Act as a technical point of contact for complex database issues, offering solutions and recommendations to resolve them.

1. Project Coordination and Stakeholder Collaboration

• Collaborate with project managers, business analysts, and stakeholders to understand business requirements and translate them into technical solutions.

1. Quality Assurance and testing

• Collaborate with QA teams to validate data quality, ensure accuracy, and troubleshoot issues identified during testing.

1. Continuous Improvement

• Stay up-to on the latest tools, techniques, and best practices.
• Identify opportunities for process improvements, optimizations, and automation.

1. Documentation and Standards

• Ensure adherence to data governance and regulatory requirements, including security and compliance standards.

Technical & Behavioral Competencies

Python, R, SQL

Machine learning algorithms

PyTorch or TensorFlow

Specific Qualifications:

Data Scientist

Skills Referential (Required knowledge, skills and abilities)

Technical Skills:

• Python
• Sql/Pl-Sql
• Machine learning algorithms
• RAG / Architecture
• CRM Schema