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Lead 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 Lead Data Scientist position? Of course continuing to gain experience working as a Lead 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 Lead Data Scientist and making sure your resume reflects your experience properly.

In order to do so, you’ll want to know that both employers hiring for a Lead Data Scientist and those who list the position of Lead Data Scientist on their resumes predominantly feature Machine Learning and Python as the most common and important terms, respectively. But the list quickly begins to diverge with resumes showing SQL, Analysis and Data Analytics at positions three, four and five, while job listings show a different pattern. Do you know what you would list?

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 Lead 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 Lead Data Scientist or to advance your career into beyond this role.

Top Skills Mentioned in Job Descriptions

Top
10
Job Skills
Employers require a broad range of skills and qualifications in their descriptions of Lead Data Scientist positions. The top three keywords make up 39.49% of the total set of top terms. Look to the Resume Checklist below to see how Machine Learning, Python, and Statistics shares stack up against the share from resumes. Technical, Innovation and Collaboration represent an additionally healthy share of the employer Lead Data Scientist job postings with their combined total of 28.87%. At 31.64%, SQL, Computer Science, Analysis, and Mathematics appear far less frequently, but are still a significant portion of the 10 top Lead Data Scientist skills and requirements according to employers.

Top Skills Mentioned in Resumes

Top
10
Job Skills
Job seeker resumes showcase a broad range of skills and qualifications in their descriptions of Lead Data Scientist positions. The top three keywords represent 40.24% of the total set of top resume listed keywords. Look to the Resume Checklist below to investigate how Machine Learning, Python, and SQL match up to employer job descriptions. Analysis, Data Analytics, and Statistics represent a very decent share of skills found on resumes for Lead Data Scientist with 30.46% of the total. At 29.3%, Tableau, Technical, Database, and Amazon Web Services appear far less frequently, but are still a significant portion of the 10 top Lead Data Scientist skills and qualifications found on resumes.

Most Important Skills Required to Be a Lead Data Scientist as Listed by Employers and Employees

Here is a simple table of the top 10 skills and qualifications as listed by employers in Lead 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 Lead Data Scientist on their resumes.
Top Lead Data Scientist Skills
Skills Required by Employers Share
Machine Learning 13.96%
Python 13.22%
Statistics 12.31%
Technical 10.29%
Innovation 9.40%
Collaboration 9.18%
SQL 9.00%
Computer Science 8.10%
Analysis 7.47%
Mathematics 7.07%
Skills Listed by Employees Share
Machine Learning 14.41%
Python 13.41%
SQL 12.42%
Analysis 11.62%
Data Analytics 10.02%
Statistics 8.82%
Tableau 7.74%
Technical 7.70%
Database 7.23%
Amazon Web Services 6.63%

Lead Data Scientist Resume Checklist

Our Resume Keyword Checklist is based upon an analysis of the most commonly found terms within both job descriptions and resumes for Lead 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 Lead 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 Lead Data Scientist Resumes
Job Descriptions
Resumes
25%
50%
75%
100%
Communication Skills
Computer Science
Innovation
Collaboration
Mentoring
Mathematics
Statistics
Employer job listings often list Communication Skills, Computer Science, Innovation, Collaboration, Mentoring, Mathematics or Statistics as requirements in Lead 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 Lead Data Scientist position may help you stand out more to hiring managers.
Common Keywords on Lead Data Scientist Resumes
Job Descriptions
Resumes
25%
50%
75%
100%
Technical
Python
Machine Learning
Predictive Modelling
Azure
SQL
Spark
Big Data
Amazon Web Services
Data Analytics
Analysis
NLP
Database
Hadoop
Business Intelligence
Forecasting
Tableau
Both employer job listings and resumes from people who’ve held the position of Lead Data Scientist tend to always include skills and requirements found in this list. Whether you’ve only got Technical, Python, Machine Learning, Predictive Modelling, Azure, SQL, Spark, Big Data, Amazon Web Services, Data Analytics, Analysis, NLP, Database, Hadoop, Business Intelligence, Forecasting or Tableau 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 Lead Data Scientist.
Uncommon Keywords on Lead Data Scientist Job Descriptions
Job Descriptions
Resumes
25%
50%
75%
100%
Accuracy
Employer job listings seldom list Accuracy as important skills or qualifications in Lead Data Scientist job descriptions. Nevertheless, candidates mention them much more commonly in their resumes. If you possess this experience, including this keyword prominently on your resume when applying for a Lead Data Scientist position may go unnoticed or even discounted by hiring managers.

FAQs about Lead Data Scientist Skills and Resume Keywords

What are the most important Lead Data Scientist job skills to have on my resume?

The most common important skills required by employers are Technical, Python, Machine Learning, Predictive Modelling, Azure, SQL and Spark. 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 Lead Data Scientist, suggesting that having these keywords on a resume are important for success as a Lead Data Scientist. Additionally, employer Lead Data Scientist job descriptions list Communication Skills as a desirable experience, even though Communication Skills appears 6.95 times less on resumes, suggesting that it's worth considering including this term if you possess the experience.

What are the least important Lead Data Scientist job skills to have on my resume?

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 a term like Accuracy which appears 0.31 times less often than in job descriptions for a Lead Data Scientist position implies that highlighting this on your resume may not be a great way to stand out.

How do I make sure my resume has all of the right keywords for a Lead Data Scientist position?

Unless your resume has a good density of the following skills and experience listed, you may not be considered for the role of Lead Data Scientist. Make sure to include a strong showing for the following keywords on your resume:
  • Technical
  • Python
  • Machine Learning
  • Predictive Modelling
  • Azure
  • SQL
  • Spark
  • Big Data
  • Amazon Web Services
  • Data Analytics
  • Analysis
  • NLP
  • Database
  • Hadoop
  • Business Intelligence
Additionally employers frequently list the following as desirable qualities in a Lead Data Scientist candidate, but they are far less common on most resumes:
  • Communication Skills
  • Computer Science
  • Innovation
  • Collaboration
  • Mentoring
  • Mathematics
  • Statistics
Finally people who held the position of a Lead 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 Lead Data Scientist application:
  • Accuracy

Before applying for a Lead Data Scientist job

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 Lead Data Scientist. Get started on your journey with a new ZipRecruiter Profile today!