Oct 30, 2018 - 12:21 PM
You write a good entry-level data scientist resume by doing the following:
1. Tie your relevant skills and qualifications to the job ad requirements
2. Note any relevant work experience, including internships
3. Make sure your resume is formatted correctly, and has all the correct sub-headings
4. Make sure your resume is a single page in length
When you’re looking for entry-level jobs, it can be easy to discount your schooling. But, as a data scientist, many of the most important parts of your resume come from college and graduate school. That’s where you learned your craft and were exposed to some of the latest and greatest technologies.
It’s wise to focus your resume on the education you’ve received. You can also include special projects that have brought you real world experience. If you’ve had an internship or two, be sure to include that too. Include the name of the company you interned with, plus your title, and details about the projects you worked on.
When you list your skills, consider including both high-level information such as “business intelligence tools” and a real list of the business intelligence software you have used. You may want to break these apart in two groups – expertise or strengths and skills or technology. Also be sure to incorporate skills listed in the job ad that you possess.
Last but not least – include a summary section in your resume. The summary should briefly explain who you are; it should also touch on what you can bring to the job. The summary should be two to four sentences long. It appears at the top of your resume and provides the reader with a powerful, compelling summation of your key selling points.
Jul 27, 2018 - 01:42 AM