Data Scientist Academy AI

What you will do Explore learner and content data prototype ML/LLM solutions design experiments and evaluation metrics build data pipelines and features work with engineering on integration document assumptions and limitations monitor model quality iterate based on learner outcomes. What you must bring 2–7 years in data science, machine learning or applied AI strong Python statistics and experimentation experience with ML frameworks and modern LLM tooling ability to communicate model behavior to product and learning teams. What will differentiate you Experimental mindset evidence-driven practical rigorous collaborative comfortable with rapid iteration. Key deliverables Validated AI use cases model/evaluation quality speed from hypothesis to prototype reliable handover to engineering measurable improvement in learner experience or operational