What you'll need to be successful:
Demonstrated experience applying AI and data science techniques to solve problems in a professional setting. Experience with techniques like LLM prompting, LLM orchestration, natural language processing (NLP), and model evaluation and testing. Demonstrated ability to independently perform research, analysis and modeling, and report on findings. General knowledge of LLMs, prompt engineering, RAG, semantic similarity, and embeddings.
What you'll be doing:
Work alongside a Sr. Data Scientist from the Enterprise AI team to plan, execute, and report on generative AI projects of diverse scope. Independently apply various generative AI, natural language processing (NLP), and data science techniques. Independently perform research, analysis and modeling, and present findings.
What are the required technical skills?
Systems or program requirements: Python, data science Python packages, LLMs, LLM orchestration frameworks (LangChain or LlamaIndex).
Other required accountabilities (soft skills):
Collaboration, planning and organizing, modeling and analysis, communication, verbal and written reports.
Level of education:
PhD preferred, but will accept an MS with equivalent experience.
Level or years of experience:
2+ years of work experience as a data scientist following graduate education.
Job Type: Full-time
Pay: Up to $73.00 per hour
Work Location: Remote
