IT and data

Data scientist CV: example and template

This example is for data scientists in retail, banking, telecoms, product companies and logistics, and for data analysts, statisticians and science graduates who want to build models.

The employer wants to know which problems you solve, which models you build, how you deploy them and what impact they have on the company's results. We show you how to describe this on your CV.

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Example CV: data scientist

All the details in this example are fictional. Treat it as a model of layout and wording, and replace the content with your own experience.

Anna Zawadzka

Data scientist

Warsaw +48 123 456 789 anna.zawadzka@example.com

Professional profile

Data scientist with 5 years of experience, the last 3 at a grocery chain with 700 stores. I build demand forecasting and loyalty programme churn models in Python, prepare data in SQL and deploy models with the data engineering team. The demand forecasting model cut fresh produce waste by 14%, and a campaign based on the churn model kept 9% more customers.

Work experience

Data scientist

03.2022 - present

Grocery chain, 700 stores, Warsaw

  • A demand forecasting model for fresh produce in 700 stores, waste down 14%.
  • A loyalty programme churn model, 9% more customers retained.
  • Preparing data in SQL and Python, features from sales and weather data.
  • A/B tests of campaigns and assessing their impact on sales.
  • Deploying models with the data engineering team and monitoring forecast quality.

Data analyst

07.2019 - 02.2022

Telecoms operator, Warsaw

  • Reports and analyses of customer behaviour.
  • First classification models in Python.
  • Dashboards for the marketing department.

Education

Master's degree, applied mathematics

2014 - 2019

University of Warsaw

Skills

  • Python, pandas and scikit-learn
  • SQL
  • Forecasting and classification models
  • A/B tests and statistics
  • Deploying and monitoring models
  • Presenting results to the business

Certificates

  • Cloud machine learning certificate, 2023
  • Time series forecasting course, 2022
  • Statistics for analysts course, 2020

Languages

  • English: C1

Additional information

  • Hybrid work

I hereby consent to the processing of my personal data for the purposes necessary to carry out the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 (GDPR).

How to write a data scientist CV

Professional summary

Write which problems you solve, in which industry, which models you build and how they get used. Add a business result, for example less waste or more customers retained. The employer is looking for someone who turns data into decisions, not just charts.

Data analyst with 3 years of experience at a telecoms operator. I prepare reports and analyses of customer behaviour, build first classification models in Python and dashboards for marketing. I am looking for work as a data scientist.

Experience: duties and achievements

Describe problems, data, models, tools, deployments and results. Show business results in numbers, not only model accuracy. Add your work with data engineers and the business. Also say how you check that a model works well after deployment.

Weaker: Building models.

Better: A demand forecasting model for fresh produce in 700 stores, waste down 14%.

Weaker: Customers.

Better: A loyalty programme churn model, 9% more customers retained.

Weaker: Deployment.

Better: Deploying models with the data engineering team and monitoring forecast quality.

Skills worth listing

List languages, libraries, SQL, model types, statistics and deployment. In your soft skills show analytical thinking, explaining results to the business and inquisitiveness. Add the domains you know too, because industry knowledge helps a lot.

Professional skills

  • Python
  • SQL
  • Predictive models
  • A/B tests
  • Statistics
  • Deploying models

Personal skills

  • Analytical thinking
  • Explaining results
  • Inquisitiveness
  • Communication
  • Independence

Certificates

List courses and certificates in machine learning, statistics and the cloud. A link to a data project or thesis also helps.

Your first job as a data scientist

A good start is a data analyst role or an internship in a data team. On your CV show projects with real data and their results.

Add a repository with code and a short description of the problem. Employers want to see how you think, not only which libraries you know.

Tailoring your CV to the job offer

A retail chain looks for demand and pricing forecasts, a bank for risk and fraud models, and a product company for recommendations and A/B tests. Move to the top what the job ad is about.

The most common mistakes on a data scientist CV

Questions and answers

What should a data scientist put on a CV?

Problems, data, models, tools, deployments, business results, certificates and a link to projects.

How does a data scientist differ from a data analyst?

A data analyst describes what happened, and a data scientist builds models that predict or suggest decisions.

Is a science degree needed?

It often helps, but projects and practice with data count too.

Which results are worth giving?

Impact on sales, costs or customers, and only then model accuracy.

Create a data scientist CV in the builder

In the CV Majster builder you enter your details step by step and see right away what the document looks like. You can copy the wording from this page and adapt it to yourself. The finished CV as a PDF costs a one-off PLN 5, with no subscription, and you see the preview before you pay.

Go to the CV builder

See also

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