Are you an expert in data analysis in computer science and would you like to make this clear by creating a data scientist CV ? Are you unable to fit all your experiences into one page?
If you need help processing your career information, read on. We have data scientist resume templates that are as clear as they are technical, to confirm your knowledge in business intelligence.
In this article you will discover:
- Data scientist CV examples to download
- How to Write a Professional Data Scientist Resume
- Our tips for writing a top-notch data scientist CV
Discover our data scientist CV examples to download
With our data scientist CV templates (doc, pdf, or ppt format), you benefit from a solid base to talk about your experiences and develop your skills. We have selected six to help you find the one that matches your specialization.
The ultimate data scientist CV
If you are looking for a French data scientist CV that is both technical and distinguished, you have come to the right place.
Its clean text gives more value to important data. For the design, we have integrated several frames, which reinforces the importance of each section. The skills are enough to allow you to convince without detailing the experiences. It is a big data engineer CV that is just waiting for your personal information to be sent.
📥 Download this data scientist CV (pdf, word, ppt)
A very professional template for a data analyst CV
Between data analysis and tool development, there's a lot to talk about. Here's another resume example with a little more text.
Your skills are well highlighted with this dark-colored column. It harmonizes well with the right-hand side and its elegant gray background. In this data scientist resume, there is much more emphasis on your involvement in processing customer information. You are free to detail all aspects of your technological monitoring, for example.
📥 Download this systems administrator CV (pdf, word, ppt)
The scientific and technical CV for a data scientist position
Computer skills and the development of analysis solutions are important. For this, we have expanded the list of skills.
You will also present yourself better with the enlarged profile photo. It is accompanied by a long paragraph on your career as an analyst. Professional networks are integrated at the very top to facilitate contact. And since on a data analyst CV in French, technical English is required, we have integrated a colored flag to better highlight it.
📥 Download this IT consultant CV (pdf, word, ppt)
A demanding data engineer CV template
Are you looking for a CV that is a little out of the norm? We recommend this model in green. A colour never used in a traditional application.
In addition, orange is much more eye-catching. It is a good CV to get noticed. You can add some references to support the quality of your services. These are described at length in the Professional Experience section. We highly recommend this CV, especially if you are applying for a permanent data scientist position.
📥 Download this network engineer CV (pdf, word, ppt)
A very serious data scientist CV
Here is a CV template that will go perfectly with your data scientist cover letter.
Both beautiful and well-organized, it highlights your extensive knowledge of IT and marketing. With such a demonstration of know-how, you reassure the recruiter about your technical skills and your autonomy. If you are applying as a project manager, we have already integrated some highly requested software.
📥 Download this IT project manager CV (pdf, word, ppt)
A final modern data scientist CV
If you are rigorous and have a certain sense of aesthetics, then this CV model should please you.
We particularly like the transparency effect of the strip where you describe your career. It fits well on your photo. Each compartment groups different data on your career. Its rich content makes people want to contact you.
📥 Download this computer engineer CV (pdf, word, ppt)
🚀 Are you still hesitating about choosing a CV template?
Find here our entire collection of CV templates adapted to the IT and technology sector to save you time or inspire you.
How to create an effective data scientist CV?
More and more companies need the services of a data scientist to process digital data and contribute to the marketing strategy. Recruiters are looking for profiles that are equally comfortable with computer science, statistics or mathematics.
Your CV must inspire confidence. It must demonstrate, at first glance, that you know how to process information, analyze it and make it stand out from the data flow. This is reflected first of all by well-arranged content. The latter is also in line with your field of expertise:
- The data analyst uses statistical tools to materialize his reports. A strong knowledge of the sector of activity for which you work is required to facilitate the communication of this data.
- The data engineer is a data professional with a more technical IT background. You specialize in creating data storage software.
As a data scientist, you are comfortable with both types of jobs. Sometimes an analyst, sometimes a creator of tools to transform this data into statistics, you will need to communicate well about your different technical skills.
Data management tools, web analysis, programming languages… The list will be long and precise. Especially if you are aiming for a senior or chief data scientist position. This is what we will see in this second part.
💡 Good to know
Save long hours of work with one of our professional templates ready to fill in in a few minutes. Design CV, simple CV, original CV, modern CV, classic black and white CV… Many templates for IT are at your disposal to save you time. Creating a perfect CV has never been so easy!
An example of a catchy sentence for a data scientist CV
Before going into details about your skills and experiences, it is important to present your work.
Know-how and interpersonal skills are important data that appear right from the header. First, announce your specialization under your name (scientist, analyst, chief, senior, etc.). All you have to do is talk about your previous work within the information systems department. To add relevance to this catchphrase, quantify your best results.
Concretely, this gives us:
Data scientist for three years, specialized in the pharmaceutical field, I have helped several pharmaceutical companies in the review of their marketing strategy. Expert in SQL and Omniture, I have made several predictions on consumer choice. Passionate about statistics, I contributed to the increase in turnover by 15%.
Highlighting professional experiences on a data scientist CV
As a data scientist, you must process data in its entirety, while providing tools that facilitate their reading and communication.
Your experiences span both analytical missions and more creative tasks. So, you know:
- Identify analysis tools
- Find data storage solutions (data engineer)
- Anticipating future data with prediction models
- Create dashboards
- Analyze data according to the company's sector of activity
- Create processing platforms
- Developing algorithms
For a data analyst, focus mainly on data analysis and processing means:
- Extracting data sources
- Integrating data into a data warehouse
- Management of analysis tools
- Business analysis and recommendations to managers
Each of your professional experiences must be accompanied by convincing results. If you have held many positions within various companies, sort them according to the result (the biggest numbers first).
In conjunction with management and managers, you must be able to clearly explain the issues related to your data analysis. Clarity and readability are therefore essential when writing this section. What to do:
Data scientist, Synthélabo (75)
Data analysis
- Using Python to Understand Data
- Data set cleaning (removal of corrupted information)
- Carrying out statistical analysis and predictive analysis (understanding current data and anticipating the future)
Data exploitation
- Creating reports in the form of diagrams
- Reporting of customer pharmaceutical habits
- CA contribution: + 25%
- Forecast for the following year: +30%
Essential training for a data scientist
A data scientist must have a BAC +5 level . You can apply for a junior data scientist permanent position after leaving university, an engineering school or a business school.
Even if you come from a top school, such as ENSI, MINES Paris-Tech or ESSEC, don't forget to indicate one of these four specializations:
- Computer science
- Statistical
- Marketing
- Big Data
The skills and human qualities of a data scientist
Through this section, you must clearly make the recruiter understand your mastery of the three aspects of the profession: IT, marketing and statistics.
For a good introduction, start with a short list of your knowledge of computer language and software:
Computer science
- Machine learning
- Python
- Javascript
- C++
- PHP
- Objective-C (Apple)
Marketing
- SAS
- SAP
- Excel
- Access
Statistics
- Omniture
- Google Analytics
- ApachSpark
- Rapidminer
Next, elaborate a little more on your analytical skills with a whole set of masteries:
- Neural network architectures
- Operating systems
- Hadoop Environment
- Building model training data
- Modeling methods and data science
- Scientific English
🛑 Pro tip
Always in the interest of good communication about your various skills, we advise you to integrate a link to your website or your LinkedIn. This adds new elements to your CV and can tip the balance in your favor in case of hesitation.
When writing a resume for a data scientist internship, you will need to rely on your personal qualities to make up for the lack of technical practice:
- Analytical mind
- Critical thinking
- Effective communication
- Troubleshooting
- Intellectual curiosity
- Intuition
- Appetite for IT
- Autonomy
- Rigor
Interests on a data scientist CV
It's always good to remember that you're human. Even if you spend most of your time behind a computer analyzing mathematical data. In this section, you are free to discuss your passions outside of work, without necessarily making a selection on your intellectual or physical activities.
Role-playing games, online games, combat sports, cooking… The choice of CV will not be made on the basis of your interests. You can also do without it if you are short on space.
4 tips for a good data scientist CV
- Hook sentence: you must first recall your status. Then, emphasize the concrete actions that you carried out during your previous job. Without forgetting to mention the positive result of the turnover after your intervention.
- Professional experience: depending on your specialization, you must choose missions specifying the means implemented to properly analyze the data. Also specify the different tools that you have created to communicate on this data. You must be very precise.
- Skills: This section begins with mastery of the computer tool. You must cite the software that allows you to exploit your computer, marketing and statistical skills. Mastery of scientific English and computer languages are essential.
- Interests: This last section is not mandatory, especially if you are short on space. Otherwise, you can put whatever you like here.
We've given you all the keys to creating a successful application. By giving clarity to your skills and experiences, your CV could well be at the top of the list.
