Data Scientists
Develop and implement methods to collect, process, and analyze large datasets. Use analytical, statistical, and programming skills to identify trends, build predictive models, and generate actionable insights.
Salary distribution (US)
Real salary data from U.S. Bureau of Labor Statistics. The p10–p90 spread tells you more than the median alone.
Top skills
Knowledge you'll build
- Mathematics
- Computers and Electronics
- English Language
- Engineering and Technology
- Administration and Management
- Customer and Personal Service
- Education and Training
- Statistics and Probability
A day in the life
You typically start your morning scanning experiment results and model performance metrics from overnight training runs, then dive into a Jupyter notebook or Python script to clean, transform, and explore new datasets. Midday often brings cross-functional meetings with product managers, engineers, and executives where you present findings, debate which features matter most, and translate statistical nuances into business language. Your afternoons might be spent building machine-learning pipelines, tuning hyperparameters, or writing up analysis reports, with your toolbox spanning SQL, Python, cloud compute platforms, and visualization libraries. The thrill is uncovering a pattern in messy data that changes a product decision, but the grind of data wrangling and waiting for stakeholder buy-in can test your patience.
Is Data Scientists right for you?
Take the Holland test + Big-5 to see how well this career matches your profile.
Get personalised fit →