Job Description Youll work closely with two Principal Data Scientists and own a feature within a broader education technology initiative. Your tasks will be assigned via Jira by a project manager, and youll collaborate with engineering to push code into production. While you wont be responsible for defining features, youll execute on them independently, relying on the Principal Data Scientist for guidance and feedback. Expect 12 scrums per week, formal data process reviews (but no formal code reviews), and a fast-paced environment focused on delivering RAG-based AI solutions that support clients. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce : Skills and Requirements 56+ years of experience as a Data Scientist 12 years of hands-on experience with Generative AI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) Strong Python skills, with the ability to integrate code into existing engineering frameworks and hand off to engineering for production deployment Proficiency with GitHub and version control workflows Experience with database structures and cloud computing (any provider is acceptable) Prior working experience with LangGraph

The role requires 56 years of experience as a Data Scientist. A minimum of 12 years of hands-on experience with Generative AI, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) is necessary. Proficiency in Python is essential, including the ability to integrate code into existing engineering frameworks and hand off for production deployment. Experience with GitHub and version control workflows is also required. Familiarity with database structures and cloud computing from any provider is needed, along with prior working experience with LangGraph.