The occupation
What does a data scientist do?
Data scientists identify useful data, collect and organize it, create and test models, use algorithms and statistical methods, visualize findings, and explain what an organization should do with the result.
Use these duties as the first reality check when planning how to become a data scientist.
- Identify and collect data relevant to a problem
- Clean, categorize, and analyze datasets
- Create, validate, and update algorithms and models
- Use visualization to communicate findings
- Make recommendations based on the analysis
The working day
A day in the life of a data scientist
A day often starts before the model. You clarify the decision that needs support, inspect the available data, and decide whether the data actually represents the question being asked.
Then you clean, analyze, and model. The last step is not a chart for its own sake. You explain the result, its uncertainty, and what action the evidence supports to people who may not share your technical background.
Education route
How to Become a Data Scientist, Step by Step
When you plan how to become a data scientist, use the sequence below to see where a space-focused degree fits and where you need additional preparation. A quantitative space science or engineering degree can transfer when it includes statistics, programming, algorithms, and a strong applied data portfolio.
- 01
Build the mathematical base
Statistics, probability, linear algebra, and calculus help you understand what a model can and cannot claim.
- 02
Learn programming and data systems
You need to manipulate data, implement models, test code, and work with the systems that store and deliver information.
- 03
Turn space projects into decision evidence
A scientific project helps when you can show the question, data preparation, method, validation, result, and limitations.
- 04
Create an applied portfolio
Use more than polished visualizations. Include reproducible analysis, documented code, model evaluation, and a plain-language explanation.
- 05
Aim for roles that value your domain
Scientific research, engineering, satellite, remote-sensing, and operations organizations may value both quantitative skill and familiarity with technical data.
Where the work happens
Where data scientists work
Office and computing environments
Data scientists spend much of their time working with code, models, data systems, documentation, and teams.
Research organizations
Scientific R&D settings use data scientists to support experiments, instrumentation, simulations, and technical decisions.
Organizations across the economy
Computer services, insurance, management organizations, consulting, and many other sectors employ data scientists.
Technical directions
Data Scientist specialties and focus areas
Statistical modeling
This work focuses on estimation, uncertainty, relationships, and whether a result holds beyond the sample.
Machine learning
Machine-learning work develops and evaluates algorithms that detect patterns or make predictions.
Scientific data
Scientific roles work with sensor, experiment, observation, and simulation data where the measurement process matters.
Data communication
Visualization and explanation help technical and nontechnical decision makers understand the result and its limits.
Before you commit
The hard parts of becoming a data scientist
Your major name will not prove the skill set
Astronomy and engineering can be quantitative, but you still need visible evidence of statistics, programming, model evaluation, and data systems.
Most of the work happens before the polished model
Collecting, cleaning, defining, and checking data often determine whether the result is useful.
A technically strong answer can still be unusable
You must explain findings and limitations to people who make decisions without hiding behind mathematical language.
Some employers want graduate depth
BLS lists a bachelor’s degree as typical, but notes that some jobs require or prefer a master’s or doctoral degree.
BLS wage data
How much do data scientists make?
The national median is $120,230. The full OEWS wage span runs from $67,240 at the 10th percentile to $199,130 at the 90th. A percentile is a place in the wage distribution, not a promise about your experience level.
Common questions
How to Become a Data Scientist: common questions
Can a space studies degree lead to data science?
What degree do data scientists need?
Is astronomy good preparation for data science?
What should a data science portfolio show?
Where do data scientists work?
Primary sources
Sources for how to become a data scientist
- BLS Occupational Outlook Handbook: Data Scientists for duties, education, work settings, and credential context.
- BLS Occupational Employment and Wage Statistics, May 2025 for national and state wages and employment counts.
Occupation facts and wage records reviewed August 28, 2026.