STEM

Data Scientist

Dig through huge piles of data to find patterns that help a hospital or company make smarter choices

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What does a Data Scientist do?

Data scientists work at hospitals, banks, stores, and tech firms. They clean messy data, build models that predict what might happen next, and explain the results to people who are not experts. Curious people who like math and telling a clear story do well.

A day in the life

9:00 AMCheck that last night's data update loaded without errors
9:30 AMClean messy records by fixing missing values and odd entries
11:00 AMBuild a model that predicts which customers may cancel
1:30 PMTest the model on fresh data to see how often it is wrong
3:00 PMMake charts that show the findings to a manager
4:30 PMAnswer questions from the team about what the results mean

What's great

  • Answers real questions with real data
  • Skills fit health, sports, and business
  • Mixes math, coding, and writing
  • Many employers pay for more training

The hard parts

  • Cleaning data is slow and messy
  • Results can be misread or ignored
  • Many jobs ask for a graduate degree
  • Explaining math to others takes patience

What is a Data Scientist's salary and outlook?

$65k – $162k
Salary Range
Master's degree
Typical Education
High demand / Rapid growth

Typical pay in this guide runs from about $64,800 to $162,000 a year, with a midpoint around $108,000. These are planning figures for students, not a job offer or an official wage.

CareerLens rates the outlook as High demand / Rapid growth.

For the official national outlook, see BLS Occupational Data.

How do you become a Data Scientist?

A common path is Master's degree in data science, statistics, or computer science. The ladder often runs from Data Analyst to Data Scientist, then Senior Data Scientist, and Chief Data Officer. Other routes: Bachelor's in math or statistics, then work as a data analyst; Graduate certificate in data science; PhD for research-heavy roles; Move over from software or science jobs after learning the tools.

  • Bachelor's in math or statistics, then work as a data analyst
  • Graduate certificate in data science
  • PhD for research-heavy roles
  • Move over from software or science jobs after learning the tools

Career path

Entry level
Data Analyst
Mid career
Data Scientist
Senior
Senior Data Scientist
Executive
Chief Data Officer

Will AI replace a Data Scientist?

How much will AI change this job?

A lot

AI will change many everyday tasks in this job. The work shifts toward judgment, checking, and people.

AI now handles much of the data work for data scientists.

AI tools can clean messy data, write code, and spot patterns much faster than before. This means data scientists spend less time on routine tasks and more time asking good questions and checking if results make sense. The job shifts toward judgment, explaining findings, and deciding what problems matter most.

AI can help with

  • Cleaning and organizing messy datasets
  • Writing and testing basic code quickly
  • Finding patterns in large amounts of data

What stays human

  • Deciding which questions are worth asking
  • Checking if AI results actually make sense
  • Explaining findings clearly to other people

Skills to build now

  • Practice math and basic statistics regularly
  • Learn to code in a beginner-friendly language
  • Build curiosity by asking why patterns happen

Based on public research from Anthropic and OpenAI, drafted with AI, checked automatically, and read by a person. How we know

This describes how the work may change. It is not a prediction that the job will disappear.