Data Scientist
Technical role · involves code
Turns raw data into decisions — designing the analysis, running it honestly, and telling the organisation what it does and does not support. The output is a decision someone can act on, not a chart.
Also advertised as: Product Data Scientist, Quantitative Analyst.
What the job involves
- Frame a business question as something data can actually answer
- Design and read experiments, including A/B tests, without fooling yourself
- Build cohort, retention and forecasting analyses from source data
- Quantify uncertainty and state it plainly to non-technical stakeholders
- Automate recurring analysis so it stops being manual
Skills this role needs
These are the actual modules taught on the track that train for this role — not a generic skills list.
- AI Foundations — optional basics (free)
- Foundations: Programming & Tooling
- Statistics Foundations
- SQL & Databases
- Python for Data
- Data Visualisation
- Exploratory Analysis
- Predictive Modelling
- A/B Testing
- Production Analytics
- Time Series & Forecasting
How to train for it
Find out where you stand as a Data Scientist
Five questions, about three minutes, no account required.
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