Data Scientist Resume Sample

Did you know that a Data Scientist is titled 2019’s Most Promising Job in the US? As per a recent survey from Glassdoor and Linkedin, Data Scientists have consistently been ranked at number 1 because of their high demand in the business and Tech industries. In this blog on Data Scientist Resume, you will understand the demand and the growth of a Certified Data Scientist and their impact on the business world.

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The following topics are covered in this blog:

1. 1. Who Is A Data Scientist?
   2. Data Scientist Job Description
   3. Data Scientist Skills
   4. Data Scientist Resume

Who Is A Data Scientist?

A Data Scientist is a detective, just like Sherlock Holmes! The only difference is, Sherlock Holmes solves murder mysteries, whereas a Data Scientist solves Data mysteries, such as detecting trends and patterns, extracting useful insights, forming hypotheses and building predictive models in order to find a solution.

Here’s a definition of Data Scientist:

To become a Data Scientist, you have to be an expert in technologies such as R, MatLab, SQL, Python, etc. You must possess a data-driven problem-solving approach, strong business acumen, and expertise in Statistics, Predictive modeling, Data manipulation, data wrangling, and visualization.

If you wish to learn more about the skills required to become a Data Scientist, you can go through this Data Scientist Skills – What Does It Take To Become A Data Scientist?  blog.

Now that you know who a Data Scientist is, let’s take a lot at some of the Data Scientist Job Trends in the market.

If you wish to learn more about a Data Scientist’s career trends and opportunities, check out this video recorded by our Data Science Experts.

Data Scientist Job Trends:

With a career advancement score of 9 out of 10, Linkedin listed Data Scientist at first place in the Best Jobs in USA, March 2019 issue.

With a rich set of skills, a Data Scientist is expected to earn over $127k annually as per Indeed. Here’s a table that shows how the Job listing varies with respect to the geography. I’ve collected this information from sources like Indeed:

Data Scientist Job Trends – Data Scientist Resume – Edureka

IBM predicts that by 2020 the number of Data Science and Analytics job listings will grow by nearly 364,000 listings. The demand for a Data Scientist is only going to increase by the day.

The below illustration shows the vacancies of Data Scientist jobs as a percentage of all IT jobs in the United Kingdom. This is also the case in most of the IT-driven countries such as Canada, USA, Germany, etc.

Data Scientist Job Vacancies – Data Scientist Resume – Edureka

These stats show the demand for a Data Scientist all around the world. With such a varied set of skills and expertise, it is no surprise that Data Scientists take home a huge amount.

Now before we start building a sample Data Scientists resume, let us first analyze a couple of job descriptions to understand what industries look for in a Data Scientists.

Data Scientist Job Description:

When I sat down to research about the skill set of a Data Scientist, I went through a couple of Job Descriptions on platforms like Glassdoor and Indeed to check what exactly top tier companies look for in a Data Scientist.

Let’s take a look at a few Job Description of a Data Scientist:

Data Scientist Tech Mahindra Job Description – Data Scientist Resume – Edureka

Data Scientist Philips Job Description – Data Scientist Resume – Edureka

These Job Descriptions give us an understanding of what exactly companies expect from a Data Scientist and what are the skills needed to become a successful Data Scientist. To make it easier for you, I’ve listed down the key takeaways from the Job Descriptions in the below section.

Data Scientist Skills

A Data Scientist is basically a professional who can uncover patterns, trends and useful insights from data by using statistical models, Machine Learning Algorithms and Predictive Analysis to grow a business. Unlike, other developers and engineers, a Data Scientist is someone who has a good understanding of business, statistics, and technology. Data Science is a vast field that requires you to have a varied set of skills.

If you wish to learn more about Data Science, you can go through the following blog posts:

1. What Is Data Science? A Beginner’s Guide To Data Science
2. Data Science Tutorial – Learn Data Science from Scratch!
3. A Comprehensive Guide To R For Data Science

Now, let’s discuss the skill set of a Data Scientist. Here’s a list of skills that most industries look for in a Data Scientist:

• Statistics
• At least one programming language – R/ Python
• Data Extraction, Transformation, and Loading
• Data Wrangling and Data Exploration
• Machine Learning Algorithms
• Advanced Machine Learning (Deep Learning)
• Big Data Processing Frameworks
• Data Visualization

Data Scientist Skills – Data Scientist Resume – Edureka

Here’s a list of Machine Learning algorithm blogs, to get you started:

• Linear Regression
• Logistic Regression
• Support Vector Machine
• Decision Trees
• Random Forest
• K-Means

If you wish to read more about the skills of a Data Scientist, refer the Data Scientist Skills – What Does It Take To Become A Data Scientist?  blog.

Now, let’s look at a sample Data Scientist resume. You can change it based on your skill set, experience, and job requirement.

Data Scientist Resume Sample:

They always say that first impressions last forever so make it your best. It’s the same when it comes to building a resume. A resume creates your first impression in an interview, therefore make sure it stands out and gets you that job you’ve been chasing.

Here’s a sample resume that I created for the role of a Data Scientist:

Data Scientist Resume Sample – Data Scientist Resume – Edureka

Here’s a list of key points that will make your resume a perfect one:

• Clear Career objective: State exactly what you’re applying for and where your interest lies.
• Educational Qualification: This field includes your educational background such as Bachelorette Degree, Masters Degree (if any), etc. Since you’re applying for the role of a Data Scientist, it is preferable to have a computer science background.
• Professional Experience: This field is specifically for individuals with work experience and not for freshers. Here you can mention your contributions to the company. For example, you can write about a Machine learning model that you created to solve a business problem and how it benefitted your organization.
• Technical Skills: Technical skills are practical abilities acquired from working on real-time, complex projects. In this field, you must mention your programming skills, what tools you’re proficient with, such as SQL, Apache Spark, Hadoop, Tableau, etc. Your technical skills should prove your abilities to the hiring manager, so make sure you list down all the relevant details in this section.
• Non-Technical Skills: A lot of us don’t pay attention to this field when we’re building a resume. Data Scientists don’t just deal with tools and machines, it is no longer a domain in which strong technical skills are all it takes to become a Data Scientist. You must have excellent communication skills, a strong intellect, analytical thinking and tons of creative ideas to build a successful Data Scientist career.

Now that you know the demand for a Data Scientist, I’m sure you’re curious to learn more. Here’s a blog on How To Learn Data Science? Do give it a read. 

So, with this, we come to the end of this blog. I hope you all found this blog informative. If you have any thoughts to share, please comment them below. Stay tuned for more blogs like these!

If you are looking for online structured training in Data Science, Edureka has a specially curated Data Science Masters course which will make you proficient in tools and systems used by Data Science Professionals. It includes training on Statistics, Data Science, Python, Apache Spark & Scala, Tensorflow and Tableau. The curriculum has been determined by extensive research on 5000+ job descriptions across the globe.

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