Resume example

Entry-Level Data Scientist Resume Example

A first data science job goes to the candidate who can show a model that someone used and the judgment behind it. This example puts the statistics degrees first, gives one forecast with a clear before and after, and shows an internship where the simpler model was the right call.

Early career · Last reviewed 5 November 2026 · 2 min read · How we write these

Template

Evergreen has no photo and a deep band of color across the top.

A made-up resume. The person, the employers and every number are invented, and any resemblance to a real one is chance.

Why this example works

The forecast bullet names the error measure, the old method and the new figure, so the result can be questioned properly.
Choosing logistic regression over a stronger but harder model, and saying why, shows judgment that few early-career resumes show.
Data size is given in rows, years and sources, which tells the reader the candidate has cleaned real, untidy data.
The dissertation is described by what it found, not its title, so it reads as analysis rather than coursework.

How to write your own data scientist resume

Name the error or accuracy measure behind each result, such as MAPE or recall, and what it was compared against.
Write about the data cleaning you did; first jobs are mostly cleaning, and saying so honestly reads well.
If you picked a simpler model on purpose, say why; it shows you think about the people who will use it.
Describe your dissertation or thesis by what it found, in one or two lines.
Keep the library list to what the projects on the page actually used.
Mention who reviews your work in a first role, since a hiring manager wants to know you learn under supervision.

Skills worth including

Analysis

Python, R, SQL, Statistics, Regression, Time series, Hypothesis testing

Tools

pandas, scikit-learn, Jupyter, Power BI, Git, AWS

Working habits

Data cleaning, Plain-language write-ups, Model documentation

Only list what is true for you. A skill you cannot talk about in an interview does not help.

Common questions

Is an M.Sc in Statistics enough to start in data science?

Yes for most associate roles. Pair it with one or two projects that use real data and code you can walk an interviewer through.

Should I list Kaggle competitions?

List one if you placed well or learned something you can explain. A rank with no story behind it adds little, and work for a real user counts for more.

How do I show data cleaning work on a resume?

Give the size and the mess: rows, sources, years and the problems you fixed, then say what the clean data made possible.

Which cloud certificate helps a junior data scientist?

One from the platform your target employers use. A machine learning associate certificate from AWS or Google Cloud shows you can take a model past a notebook; one is enough.