A bachelor’s degree is typically required; some employers require or prefer a master’s or doctoral degree.
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Northstar Product Analytics
A Day as a Data Scientist
Work through ambiguous metrics, broken data, experiments, model risk, and the challenge of turning evidence into a decision.
5 real-world moments · about 12 minutes
Northstar Product Analytics is fictional. Scenarios reflect common industry data-science workflows.
Tuesday · Product Data ScienceExperiment review week
DS-1021 The team’s success metric may reward the wrong behavior
DATA-1188 A model feature changed overnight
EXP-2034 The average improved, but one group got worse
MODEL-744 A model is accurate overall but uneven across groups
READOUT-1600 Explain a nuanced result without hiding uncertainty
How it works
You choose the work—not the “correct” answer.
01
Meet the moment
See the situation, people, stakes, and why it matters.
02
Take it or skip it
Both are useful signals. There are no points or aptitude scores.
03
See the real process
If you accept, follow the professional workflow and time spent.
College & preparation
What should you study?
Data scientists use analytical tools and techniques to extract meaningful insights from data, build and test models, and communicate findings to stakeholders.
MathematicsStatisticsComputer scienceBusinessEngineering
MathematicsComputers and ElectronicsEnglish Language
O*NET publishes knowledge areas, not a required university course list.Real people, real careers
See how the job looks in real life.
See how practitioners describe data science, then explore the occupation through trusted sources.
A Day in the Life of a Data ScientistIBM / Coursera · YouTube
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