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New grad data and AI/ML roles
New grad data scientists build models, analyze experiments, and work closely with product teams. ML engineers focus on training, optimizing, and deploying models at scale. AI researchers push the state of the art, often publishing papers. On job boards you'll find these under Data Scientist, ML Engineer, Applied Scientist, or Research Scientist. Google, Meta, OpenAI, Amazon, Netflix, and hundreds of startups hire for these roles.
Getting hired for data/ML roles out of school
A strong portfolio beats a long resume. Kaggle competitions, research publications, or a well-documented ML project on GitHub all work. Know your stats: hypothesis testing, regression, A/B testing. For ML engineering roles, be comfortable with PyTorch or TensorFlow, and understand how models go from a notebook to production. Expect a mix of coding, ML theory, and case study questions in interviews.
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