Data Scientist Must-Have Resume Skills and Keywords
Are you interested in improving your job outlook and increasing your salary? How can you demonstrate that you are the most qualified candidate for a Data Scientist position? Of course continuing to gain experience working as a Data Scientist may be your best qualification, but there are other ways you can also develop your skills, like continuing education or volunteer opportunities. More immediately, however, you can be ready for your next opportunity or promotion by educating yourself about the duties, responsibilities, and required skills of a Data Scientist and making sure your resume reflects your experience properly.
We designed the ZipRecruiter Career Keyword Mapper to help you solve this problem and hopefully improve your resume. Using machine learning tools paired with industry research, our Marketplace Research Team helped analyze millions of job postings and resumes to identify the most important keywords related to Data Scientist jobs. Our goal is to help you discover opportunities to improve your resume or to help you understand what skills and qualifications you need to be a Data Scientist or to advance your career into beyond this role.
Employers require a broad range of skills and qualifications in their descriptions of Data Scientist positions. The top three keywords make up 38.66% of the total set of top terms. Look to the Resume Checklist below to see how Python, Machine Learning, and Statistics shares stack up against the share from resumes. SQL, Collaboration and Technical represent an additionally healthy share of the employer Data Scientist job postings with their combined total of 27.51%. At 33.82%, Analysis, Innovation, Computer Science, and Data Analytics appear far less frequently, but are still a significant portion of the 10 top Data Scientist skills and requirements according to employers.
Job seeker resumes showcase a broad range of skills and qualifications in their descriptions of Data Scientist positions. The top three keywords represent 40.52% of the total set of top resume listed keywords. Look to the Resume Checklist below to investigate how Machine Learning, SQL, and Python match up to employer job descriptions. Analysis, Data Analytics, and Tableau represent a very decent share of skills found on resumes for Data Scientist with 29.71% of the total. At 29.76%, Statistics, Database, Technical, and Amazon Web Services appear far less frequently, but are still a significant portion of the 10 top Data Scientist skills and qualifications found on resumes.
Here is a simple table of the top 10 skills and qualifications as listed by employers in Data Scientist job postings since January of 2018, followed by the top 10 skills and qualifications most commonly listed by people who held the title of Data Scientist on their resumes.
Top Data Scientist Skills
|Skills Required by Employers
|Skills Listed by Employees
|Amazon Web Services
Our Resume Keyword Checklist is based upon an analysis of the most commonly found terms within both job descriptions and resumes for Data Scientist positions. Our algorithm helps isolate phrases and patterns to identify the most frequently recurring and reused keywords from each data source, while correcting for uncommon and outlier results. Various heuristic methodologies are then applied to ultimately create two top 20 lists of the most important and significant skills, certificates and requirements found within Data Scientist job postings and resumes. We then merge the two lists together and use a combination of statistics and rules-based scenarios to create a list that is audited by the Marketplace Research team, and finally turned into the checklist you see below. Our hope is that knowing this information can help you make your best impression with your next potential employer.
Uncommon Keywords on Data Scientist Resumes
Employer job listings often list Innovation or Communication Skills as requirements in Data Scientist job descriptions; however, candidates mention them far less frequently on their resumes. If you possess any or all of these experiences, including these keywords prominently on your resume when applying for a Data Scientist position may help you stand out more to hiring managers.
Common Keywords on Data Scientist Resumes
Both employer job listings and resumes from people who’ve held the position of Data Scientist tend to always include skills and requirements found in this list. Whether you’ve only got Computer Science, Mathematics, Economics, Collaboration, Statistics, Technical, Python, Machine Learning, Analysis, Data Analytics, Spark, Big Data or Predictive Modelling in your background and experience, make sure to highlight the term prominently on your resume. As a candidate you’ll be competing with many others who are bound to have as many as you (or more!) of these common resume keywords highlighted in their application for a job as a Data Scientist.
Uncommon Keywords on Data Scientist Job Descriptions
Employer job listings seldom list SQL, Data Mining, Data Visualization, Database, Business Intelligence, Amazon Web Services, NLP or Tableau as important skills or qualifications in Data Scientist job descriptions. Nevertheless, candidates mention them much more commonly in their resumes. If you possess any or all of these experiences, including these keywords prominently on your resume when applying for a Data Scientist position may go unnoticed or even discounted by hiring managers.
The most common important skills required by employers are Computer Science, Mathematics, Economics, Collaboration, Statistics, Technical and Python. These skills and requirements are just as likely to be mentioned by employers as well as on resumes of people that held a position as a Data Scientist, suggesting that having these keywords on a resume are important for success as a Data Scientist. Additionally, employer Data Scientist job descriptions list Innovation as a desirable experience, even though Innovation appears 2.81 times less on resumes, suggesting that it's worth considering including this term if you possess the experience.
Although you'd probably love to load up your resume with every possible keyword you can, employers tend to look for the things they specify in the job description. Our analysis suggests that highlighting too prominently terms like SQL, Data Mining, Data Visualization, Database, Business Intelligence, Amazon Web Services and NLP may be something to reconsider. These 7 terms appear 2.00, 2.29, 2.84, 3.11, 3.15, 3.17 and 3.54 times less frequently, respectively, than in job descriptions for a Data Scientist position. This implies that highlighting any of these keywords on your resume may not be a great way to stand out to a potential employer.
Unless your resume has a good density of the following skills and experience listed, you may not be considered for the role of Data Scientist. Make sure to include a strong showing for the following keywords on your resume:
- Computer Science
- Machine Learning
- Data Analytics
- Big Data
- Predictive Modelling
Additionally employers frequently list the following as desirable qualities in a Data Scientist candidate, but they are far less common on most resumes:
- Communication Skills
Finally people who held the position of a Data Scientist and list it on their resume are adding these terms that are less likely to be noticed by employers. You may want to consider downplaying these terms on your Data Scientist application:
- Data Mining
- Data Visualization
- Business Intelligence
- Amazon Web Services
At ZipRecruiter, we understand better than anyone the importance of using the right keywords to describe your experience — it’s crucial to attracting the right employers! We built our business on the ability to effectively match job seekers with employers using AI-technology that understands your resume and how likely you are to be noticed by a potential future employer. Having a ZipRecruiter profile that showcases your most relevant skills and abilities can help you get recruited into a new role as a Data Scientist. Get started on your journey with a new ZipRecruiter Profile today!