How to write your own Data Scientist resume?
1. Introduce your full range of expertise
When constructing a resume, remember that data science just recently started to become something employers understand the importance of. It is therefore beneficial to tell the recruiter what exactly you do or have done as a Data Scientist. It is crucial that they realize your potential importance to their company, especially in this day and age. That can only be done when they understand the implications of having you in the firm. In addition, try to break the unhealthy, but present stereotype of the “quiet, unorganized scientist” by giving a brief personal introduction as well.
Data Scientist Resume Profile Example
"Highly accurate and experienced Data Scientist adept at collecting, analyzing, and interpreting large datasets, developing new forecasting models, and performing data management tasks. Possessing extensive analytical skills, strong attention to detail, and a significant ability to work in team environments, Emily is presently looking for a Data Scientist position with a forward-moving company."
2. Describe the activities you undertook in previous work experience
This section serves to prove that you actually have the skills you outlined in the intro. Try to concisely, but in good detail, demonstrate how you used them in work life. Specifying helps convince people about your past. More importantly, however, you should further demonstrate your worth and potential to the company. That means showing the results of your actions, ideally in a way that is easy to understand.
Data Scientist Work Responsibilities and Achievements Example
"Collected, analyzed, and interpreted raw data from various websites."
"Increased the overall productivity and cut unnecessary costs."
"Maintained and managed the company's MS SQL server."
"Increased the accuracy of forecasting software from 80% to 95%."
3. Point out proficiency in necessary and unique skills
Regarding the skills, data scientists should have, list, and demonstrate how good you are at managing tools for studying data. Any computer or data processing programs that you use on a regular basis to conduct data science should be present in your resume. If you can provide some way of adding the level of aptitude for the given tool, definitely do that as well. It is also important to demonstrate that you can handle interpersonal situations too, so listing those kinds of abilities is crucial - especially since you are supposed to communicate with people who aren’t always data scientists. Lastly, any additional skills like language proficiency can also help make a good impression on the recruiter.