Data Scientist Consultant
Summary
The Data Science Consultant will design and deploy advanced AI and machine learning solutions, focusing on Generative AI, RAG, and LLM-based applications on the Azure cloud platform. The role involves leveraging strong mathematical foundations to build scalable MLOps pipelines and collaborating within cross-functional teams.
Data Science: Consultant
Experience: 4+ years
Requirement:
- Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 4+ years of relevant experience in Machine Learning, Statistics.
- Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.
Must-Have Skills and Experience
Generative AI & Advanced AI Engineering
- Mandatory: Expertise in Prompt Engineering and Retriever-Augmented Generation (RAG)
- Hands-on experience with LLM-based solutions and Generative AI frameworks
Cloud AI Development
- Proven experience deploying AI/ML solutions on Azure
- Knowledge of cloud-native architectures and MLOps pipelines
Core AI & Data Science
- Strong mathematical and algorithmic foundation
- Proficiency in Python, SQL, and enterprise-grade AI tools
- Advanced ML techniques: regression, classification, clustering, ensemble models, time-series analysis
- Familiarity with NLP, transformer architectures, and model optimization
________________________________________
Good-to-Have Skills
Agentic AI & Automation
- Autonomous Agent Development and multi-agent orchestration
- Workflow automation for intelligent systems
- LLMOps, fine-tuning foundation models
- Development of multi-modal AI applications (text, image, audio)
________________________________________
Leadership & Collaboration
- Ability to mentor junior engineers and contribute to architectural decisions
- Experience working in agile, cross-functional teams
- Strong stakeholder management and solution-oriented mindset
Data Science: Consultant
Experience: 4+ years
Requirement:
- Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 4+ years of relevant experience in Machine Learning, Statistics.
- Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.
Must-Have Skills and Experience
Generative AI & Advanced AI Engineering
- Mandatory: Expertise in Prompt Engineering and Retriever-Augmented Generation (RAG)
- Hands-on experience with LLM-based solutions and Generative AI frameworks
Cloud AI Development
- Proven experience deploying AI/ML solutions on Azure
- Knowledge of cloud-native architectures and MLOps pipelines
Core AI & Data Science
- Strong mathematical and algorithmic foundation
- Proficiency in Python, SQL, and enterprise-grade AI tools
- Advanced ML techniques: regression, classification, clustering, ensemble models, time-series analysis
- Familiarity with NLP, transformer architectures, and model optimization
________________________________________
Good-to-Have Skills
Agentic AI & Automation
- Autonomous Agent Development and multi-agent orchestration
- Workflow automation for intelligent systems
- LLMOps, fine-tuning foundation models
- Development of multi-modal AI applications (text, image, audio)
________________________________________
Leadership & Collaboration
- Ability to mentor junior engineers and contribute to architectural decisions
- Experience working in agile, cross-functional teams
- Strong stakeholder management and solution-oriented mindset
Data Science: Consultant
Experience: 4+ years
Requirement:
- Bachelor’s Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 4+ years of relevant experience in Machine Learning, Statistics.
- Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.
Must-Have Skills and Experience
Generative AI & Advanced AI Engineering
- Mandatory: Expertise in Prompt Engineering and Retriever-Augmented Generation (RAG)
- Hands-on experience with LLM-based solutions and Generative AI frameworks
Cloud AI Development
- Proven experience deploying AI/ML solutions on Azure
- Knowledge of cloud-native architectures and MLOps pipelines
Core AI & Data Science
- Strong mathematical and algorithmic foundation
- Proficiency in Python, SQL, and enterprise-grade AI tools
- Advanced ML techniques: regression, classification, clustering, ensemble models, time-series analysis
- Familiarity with NLP, transformer architectures, and model optimization
________________________________________
Good-to-Have Skills
Agentic AI & Automation
- Autonomous Agent Development and multi-agent orchestration
- Workflow automation for intelligent systems
- LLMOps, fine-tuning foundation models
- Development of multi-modal AI applications (text, image, audio)
________________________________________
Leadership & Collaboration
- Ability to mentor junior engineers and contribute to architectural decisions
- Experience working in agile, cross-functional teams
- Strong stakeholder management and solution-oriented mindset