PROFESSIONS

Data Scientist

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A technical professional who extracts insight from data using statistics, machine learning, and programming.

What data scientists do

Data scientists frame business questions as data problems, collect and clean datasets, build predictive models, run experiments, and communicate findings. They influence product, marketing, and operational decisions by pairing rigor with clear storytelling.

Training path

Most US data scientists hold a master’s or PhD in computer science, statistics, mathematics, economics, or a science field. A growing share enter from analyst roles after self-study. Strong portfolio projects on Kaggle or GitHub help.

Tooling

Common tools include Python, R, Jupyter notebooks, pandas, scikit-learn, PyTorch or TensorFlow, SQL, dbt, and visualization libraries. Cloud platforms such as AWS, GCP, and Azure host pipelines and model training.

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