AI & Data Scientist Roadmap
You answer hard questions with statistics and models - and in 2026 the role has absorbed LLM skills too. Indicative entry salaries $80-110k US; a numerate degree or a genuinely strong portfolio is usually the door key. Statistics depth is what separates you from analysts.
By Carl Mills • Last updated • tap any step for guidance and free resources • progress saves in your browser • free printable PDF roadmap poster.
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AI & Data Scientist roadmap FAQ
Data scientist vs AI engineer - which should I pick?
AI engineers build products on LLM APIs (software-first, more openings, faster entry). Data scientists model and experiment (statistics-first, often degree-gated). If you love inference and experiments, go DS; if you love shipping, go AI engineer.
How much maths do I actually need?
Working statistics: distributions, hypothesis testing, regression, and enough linear algebra to not fear notation. You need to reason about uncertainty honestly - that is the job - but you do not need to derive backprop by hand for applied roles.
Has GenAI killed classical data science?
No - it moved the goalposts. Companies still need forecasting, causal inference and experimentation; LLMs added new tasks (evals, retrieval quality) rather than replacing the old ones. The 2026 DS who knows both is the most hireable profile.
What next once the list is green?
Prove it under pressure: take the free Mock Interview, then check your application signals.
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