Data Scientist
Oakland, CA - USA
Job Summary
Data Scientist
Oakland CA
Hire Type: Contract
Role Descriptions: Lead data projects through every stage of the lifecycle definition collection preparation modeling and 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) 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
Oakland CA
Hire Type: Contract
Role Descriptions: Lead data projects through every stage of the lifecycle definition collection preparation modeling and 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) 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