Jr. Data Scientist

Job Description As a Data Scientist within our client's Digital Workplace area, you will be crucial in driving technical innovation and advancing our GenAI applications within the organization. You will assist in designing, and implementing our client's GenAI solutions for our colleagues, ensuring optimal performance, productivity, and collaboration. This key role will help transform how 300,000+ associates find information by transforming our internal knowledge base and enhancing employee productivity through RAG and GenAI. For the right technologist with diverse expertise, this could be the opportunity to redefine the meaning of a digital workplace for a respected global healthcare leader. The ideal candidate is a hybrid between data scientist (75%) and software engineer (25%), with experience designing RAG systems, understanding optimization techniques, able to write microservices and deploy them using Kubernetes, and understand devops and CI/CD using GitHub Actions. Required Skills & Experience • Bachelor's degree in Data Science, Computer Science, Machine Learning, Engineering, or related field from an accredited university • 2+ years of experience programming with Python • 1+ years of experience with a cloud • 1+ years using Scikit-learn • 1+ years of Langchain experience • 1+ years of LLM experience building RAG systems • 1+ year experience with vector databases such as MongoDB Atlas or Pinecone • Familiarity with concepts such as Agents, adding memory to LLMs, routing, moderating content, etc Nice to Have Skills & Experience • Master's degree preferred. • Excellent communication and planning skills. • Portfolio of LLM applications and sample projects