Data Scientist Resume Examples

Data Scientist is one the most in-demand jobs in the world. Demand is expected to grow by 60% in the next few years. However, there is a shortage of 140,000 data scientists. Is your Data Scientist resume good enough for the job. Data mining tied with statistics as the 2nd most important job skill. Both these skills fall under the job of a Data Scientist. Despite the shortage, companies want top- level candidates.

Our Data Scientist resume sample can be used as a quick reference. We set it up in a way that it will be an easy read. At the same time, all the important details are presented properly. We will also give you tips on how to improve your chances of getting the job.

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Data Scientist Resume Sample

Data Scientist Resume Sample

Donovan B. Simmons

Address:        4152 Dunvale Road, Houston, TX.
Phone:           (281) 887 4556
Email:            [email protected]
Current Job: Data Scientist; Vortex Beverages, Houston, TX.


Applied Mathematics graduate with certifications in Data Science, Machine Learning and programming languages SQL, Python and Microsoft; more than 8 years experience as Data Scientist in 2 different industries seeks to become the new Data Scientist for Informatics Data Logic. Excellent in business analytics, development of modeling techniques and operational improvement processes, I am confident my experience and expertise will be a perfect fit for your company.


  • Bachelor in Science – Applied Mathematics; University of Houston, 2016.
  • Certification; Data Scientist, Johns Hopkins, 2016 (online)
  • Certification; Machine Learning, Stanford University, 2016 (online)
  • Certification; SQL, Python, Microsoft, Commdapp, 2016 (online)
  • 8+ years experience as Data Scientist.
  • Expert in analytics.
  • Creative thinker.
  • Exceptional team player.

Work Experience

Data Scientist; 2020 to present
Vortex Beverages; Houston, TX.

Duties and Responsibilities

  • Collates data sources and builds databases which can be accessed by end-users according to their intent.
  • Develops systems that are designed to improve workflow information through the different departments.
  • Prepares reporting systems that are required by current operations, maintenance and technical services departments.
  • Conducts technical support and establishes process improvement systems for the purpose of fortifying current engineering standards and processes.
  • Designs visualization tools for the purpose of supporting operations, maintenance and technical services departments in their daily management of key functions.

Data Scientist, 2017 to 2020
Blankenship Sports Development Inc., Houston, TX.

Duties and Responsibilities

  • Designed and developed predictive models and learning algorithms to track customer lifetime value, lead scoring, retention, attribution and propensity.
  • Introduced frameworks to build, track and analyze customer segments that patronize the Blankenship brand name.
  • Formulated data-driven suggestions and recommendations to optimize the company’s marketing efforts, SEO/SEM strategies and to evaluate ROI.
  • Maintained multi-layer dashboards as references for a business intelligence platform that will be used for company leadership development.
  • Conducted revenue forecasting and analyzed trends for financial budgeting purposes.

Data Scientist, 2015 to 2017
Pacific Inter-Asia Equities, Inc., Houston, TX.

Duties and Responsibilities

  • Utilized/leveraged a wide range of data analysis and statistical modeling algorithms as methodologies for solving current business problems.
  • Audited the current operational environment for the purpose of identifying opportunities whereby the company can leverage advanced analytics.
  • Applied critical thinking skills and performed advanced analytics with the intent of finding solutions to complex and multifaceted problems.
  • Analyzed data and endeavored to understand existing operational processes in order to develop and recommend actionable solutions.
  • Performed both advanced qualitative and quantitative analysis of high volume data bases as a means to identify developing trends, patterns and correlations that could improve overall business performance.


Bachelor Degree – Applied Mathematics
University of Houston
Houston, TX
2011 to 2015

High School
Saint Nicholas School
Houston, TX
2007 to 2011


  • Data Science; Johns Hopkins – Online, 2016
  • Machine Learning; Stanford University – Online, 2016
  • Computer Programming Languages; Commdap- SQL, Python, Microsoft, Online, 2016


Data Scientist Resume Skills List

Data Scientist Resume

If you want to get hired, your Data Scientist skills list must show you can analyze data and turn it into solutions. It’s not enough to be good. You have to be great in Math, Statistics and understand programming. This job needs someone with high-level technical skills.

  • Education
    Companies will consider a college degree the minimum requirement. Accepted courses are Math, Statistics, Economics and Computer Science. In fact, some job ads will only hire those with a Master’s or Doctorate degree.
  • Certifications
    In our sample resume for Data Scientist, the candidate has several certifications. Donovan has certifications in Data Science and Machine Learning. He also has certifications in a number of programming languages. If you want to be competitive, try to be certified in as many related studies as possible.


  • Curiosity

    The best Data Scientists aren’t just the ones with Masters or Doctorate degrees. They are the ones who are curious. They want to know how data can help find solutions. This means identifying problems so they know what answers to look for. Curiosity inspires creativity.


  • Business Knowledge

    Having a good background in business will help you become an effective Data Scientist. You will have a better understanding of how a business works. You will have an idea of their objectives and potential pain points. This way, you will have a clearer picture of how to approach data analysis. It will also be easier for you to frame possible solutions.

  • Excellent Communication Skills
    Businesses need data scientists to translate complex data to simple English. A Data Scientist can make heads or tails of numbers. Your job is to make sure everyone on the team will understand what the data means. Most importantly, how the data can help find solutions. Excellent communication means having the ability to articulate information very clearly.

Data Scientist Resume Objective

The Data Scientist resume objective that we made is straightforward. We started off with all the key hard skills for the job. The idea is to let the Hiring Manager know Donovan has all the necessary training and education. All of the skills were in the job post.

Always read the job post clearly. Make sure you take note of all the needed skills for the job. Many companies are very strict with this. If they see that you didn’t follow instructions, your resume will get filed right away.

Your objective statement should indicate these key skills. The Hiring Manager will see them right away. Remember the objective is located near the top of your resume.

When it comes to highly-technical work, don’t leave out details. In our sample resume objective for Data Scientist, we listed down every single one of Donovan’s abilities.

Data Scientist Resume Format

Companies prefer people with experience. The job of a Data Scientist isn’t easy. Big Data is very important for business. How you analyze it can make or break a company. If you have experience, use the reverse chronological for your Data Scientist resume format.

Hiring managers don’t spend time with resumes. They are experts at scanning for details. This is why the reverse chronological is important. It will showcase your most recent experiences and achievements. With this format, you start out with your latest data then work your way back.

Next, review our sample format for Data Scientist resume. We arranged the sections as follows:

  • Contact Information
  • Objective Statement
  • Skills
  • Work Experience
  • Education
  • Certifications
  • Personal Information

Placing experience in the middle will give it more attention from the recruiter. The information will be supported by the preceding sections.

Entry Level Data Scientist Resume

No experience? No problem! Even if you have an entry level Data Scientist resume you can still get the job:

  • Highlight your educational degree if it is related to the job
  • List down all the advanced training you underwent and passed
  • Itemize the certifications you received
  • Indicate work experience that is relevant or identical to the job
  • Cite examples at work or school which show you have a knack for analyzing data. For example, analyzing early voter results during student elections.

For companies, having the expertise could be just as important as having the experience. As mentioned, this isn’t an easy job. Companies will depend on your ability to analyze data.

To this regard, be prepared to use the functional format. Our previous set up will be rearranged this way:

  • Contact Information
  • Objective Statement
  • Skills
  • Education
  • Certifications
  • Work Experience
  • Personal Information

With the functional format, there is less focus on work experience. The objective of the format is to draw attention to your expertise and relevant skills.

Data Scientist Resume Writing Tips

As a Data Scientist, you must be detail oriented. Companies will place their trust on your ability to read data. In the same manner, you must be detail oriented with your resume. To improve your chances, spend a few minutes reading our Data Scientist resume writing tips

  1. Expand Your Job Description – Don’t repeat the same tasks in every one of your work experience. Try to make them unique and interesting. Surely data scientists have a lot of work to do. In every industry, data scientists will be asked to use their skills differently. Let the Hiring Manager know that you have a lot to offer for the company.
  2. Keep It Well-Organized – Give the recruiter a break by making sure your resume is an easy read. Spare no details, but try to keep your scope of work to no more than 8 bullet points. Don’t use technical terms. It is understood you are the expert. If the recruiter does not understand your resume, he/she may not finish reading it.

As we mentioned at the start of the article, this job is high in demand. There will be hundreds of open positions. However, that doesn’t mean your resume should be sloppy. Work on it as you would analyze data.

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