Data Scientist
Role details
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Tech stack
Requirements
Role Descriptions: Lead data projects through every stage of the lifecycle definition| collection| preparation| modeling| and deployment.Architecture Engineering Apply rigorous Object-Oriented Programming (OOP) concepts and scalable software design principles to ensure code quality and system performance. AI Machine Learning Design and implement robust models| including traditional classification and regression algorithms| as well as cutting-edge GenAI| LLMs| and RAG (Retrieval-Augmented Generation) pipelines.Drive best practices in model development and evaluation to ensure accuracy and impact. Essential Skills: Experience 8 years of relevant industry experience working on complex| data-driven projects. Technical Stack Advanced proficiency in Python and industry-standard libraries (Pandas| NumPy| SciPy| Scikit-Learn| etc.).Engineering Mindset Strong understanding of OOP and software engineering principles in a production environment. Model Expertise Proven experience in both traditional ML algorithms (RegressionClassification) and modern Generative AI technologies (LLMs| RAG). Communication Ability to distill technical findings into clear| impactful presentations for stakeholders
