DünyaEkonomiİlginç Bilgiler

Data Scientist Resume – Sample & Guide for 2020

0

Data Scientist Resume – Sample & Guide for 2020

You are a data scientist. You solve complex problems.

Your newest problem: Writing a resume for the difficult data scientist role.

Fortunately, you’ve come to the best place. This guide will walk you through a series of steps so you can create a resume for a data scientist with results.

Specifically, we will cover:

  • An example of a finished data scientist resume that has worked
  • How to write a data scientist resume to fill your interview diary?
  • How to highlight your data scientist’s resume [with the most important tips and tricks]

Before you get stuck with data, here’s a sample data scientist resume created with our own online resume maker:

data scientist resume example

Create a Data Scientist Resume

This resume performs as well as it looks. Follow the steps in this guide to create a data scientist resume with great results like the example above.

How to Format a Data Scientist Resume

Before explaining why you are the best person for the job, you need to choose the best format.

Now, this is more important than it seems.

It allows your best features to “jump off the page” into the vision of recruiters.

The most common form of resume is “reverse chronological” and for good reason. Essentially, it allows the recruiter to instantly see the value you provide. We recommend that most individuals start with this format.

data scientist reverse chronological format

The following resume formats are also getting our approval:

  • Functional Resume – If you have strong skills but have poor work history, this resume format is recommended. Ideal for skilled scientists who do not have much experience or have gaps in their employment background.
  • Combination Resume – Acting as a combination of both “Functional” and “Reverse Chronological” formats, you can use a combined resume if you have rich work experience.

After choosing your format, you need to edit your resume layout.

Use a Data Scientist Resume Template

As a data scientist, you present data in a structured way.

The same should happen to your resume.

However, creating a structured file is not an easy task!

You can use Word, but then you will have to risk the layout falling apart with every small change.

Want to bypass formatting issues? Use a data scientist resume template. How do you list data science skills on a resume?,#How do I write a data scientist resume?,#What is the best resume format to use in 2020?,#What skills does a data scientist need?,#Can I become a data scientist in 6 months?,#What are top 3 skills for data analyst?,#How long should your resume be 2020?,#Is resume now actually free?,#What type of resume is best?,#How can a data scientist stand out?,#What are data science recruiters looking for in a resume?,#What is data scientist job description?,#How do I write a statement of qualifications?,#What tools or devices help you succeed in your role as a data scientist?,#Where do you put personal projects on a resume?,#Who are eligible for data science jobs?,#Which company is best for data scientist?,#Why do data scientists quit?,#Which are red flags on a resume?,#Do you need an objective on your resume 2020?,#What are the 4 types of resumes?,#How long do recruiters look at resumes 2020?,#What does a good resume look like in 2020?,#Is it OK not to include dates on your resume?

What to Include in a Data Scientist Resume

The main sections on a data scientist resume are:

  • Work Experience
  • Contact Information
  • Skills
  • Education

Would you like to go a step further? You can also add these optional sections:

  • Awards & Certification
  • Projects
  • Languages
  • Interests & Hobbies

But wait –

What should you write for each section?

Read on to learn how.

Would you like to know more about CV sections? View our guide on What to Write on Resume.

How to Correctly Display your Contact Information

No need to be creative in this section anymore.

The only requirement is accuracy.

An incorrect contact section could mean that the recruiter cannot contact you – disaster!

The contact information section should include:

  • Full Name
  • Title – In this case, “Data Scientist”
  • Phone Number – Check this multiple times for errors
  • Email Address – Use a professional email address (firstname.lastname@gmail.com), not your childhood email (elliebelly123@gmail.com).
  • (Optional) Location – Applying for a job abroad? Mention your location.

Correct Example:

  • Ellie Branning, Data Scientist. 101-358-6095. ebranning@gmail.com

Incorrect Example:

  • Ellie Branning, Data Scientist Whizz. 101-358-6095. elliebelly123@gmail.com

How to Write a Data Scientist Resume Summary or Objective

It’s safe to say that recruiters do not have time to review the data of every resume.

Instead, they scan the resume for key points.

In fact, research has shown that recruiters only spend a few seconds on each resume!

So what can you do?

You need an entry that will allow your value to “jump off the page”.

To do this, use a resume summary or goal.

These are quick paragraphs at the top of your resume, just below your contact information.

Now, this part is extremely important. This little paragraph can be the determining factor between scoring an interview and rejecting your resume.

data scientist resume summary

But what’s the difference between the two parts?

A resume summary is a 2-4-sentence summary of your professional experiences and achievements.

Data Scientist Resume Summary Example

Certified data scientist with 12 years of experience for different clients. Achievements include updating data flow processes for an 18% reduction in redundancy and improving the accuracy of estimated prices by 18%. He is highly skilled in data visualization, machine learning, and leadership.

The resume goal is a 2-4-sentence snapshot of what you want to achieve professionally.

Data Scientist Resume Objective Example

Motivated data scientist with more than 2 years of experience as a freelance data scientist. He is passionate about building models that solve problems. Relevant skills include machine learning, problem solving, programming, and creative thinking.

So which is the best, summary or objective?

In general, we recommend that experienced data scientists go with a resume summary. Those who are new to the field, such as graduates and career changers, will be better suited to a goal.

How to Make Your Data Scientist Work Experience Stand Out

Recruiters need to make sure you will do a good job for the company.

Listing your work experience is the easiest and best way to do this.

Here’s the best way to structure your work experience section:

  • Position name
  • Company Name
  • Dates
  • Responsibilities & Achievements

Here’s an example:

Data Scientist

Hedge X

03/2016 – 05/2019

  • The accuracy of the predicted prices has been improved by 18%.
  • He coordinated a team of 16 data scientists working on 4 different projects.
  • Updated data flow processes for 18% reduction in redundancy.

To differentiate your resume from other applicants, you should talk about your best achievements rather than your daily tasks. Doing so will clearly show how you can benefit the company.

Instead of saying:

“Data flow.”

Say:

“Updated data flow processes for 18% reduction in redundancy.”

As you can see, the first statement does not convey your successes effectively. Indicates that you are streaming data, but not the results of your work.

The second statement indicates that you have managed to reduce the excess numbers. Difficult numbers that prove your skills – you can’t argue with this one! How do you list data science skills on a resume?,#How do I write a data scientist resume?,#What is the best resume format to use in 2020?,#What skills does a data scientist need?,#Can I become a data scientist in 6 months?,#What are top 3 skills for data analyst?,#How long should your resume be 2020?,#Is resume now actually free?,#What type of resume is best?,#How can a data scientist stand out?,#What are data science recruiters looking for in a resume?,#What is data scientist job description?,#How do I write a statement of qualifications?,#What tools or devices help you succeed in your role as a data scientist?,#Where do you put personal projects on a resume?,#Who are eligible for data science jobs?,#Which company is best for data scientist?,#Why do data scientists quit?,#Which are red flags on a resume?,#Do you need an objective on your resume 2020?,#What are the 4 types of resumes?,#How long do recruiters look at resumes 2020?,#What does a good resume look like in 2020?,#Is it OK not to include dates on your resume?

What if You Don’t Have Work Experience?

Maybe you are trying to get into the field of data science?

Or maybe you’ve already worked in the industry but never worked in that particular role?

Your experience is empty.

The employer will want data scientists they can trust. Whether you have work experience or not, demonstrating that you have skills is the most important factor.

If you already have proof of your data science skills, feel free to link to them on your resume.

However, there is still time to build a portfolio.

Here are a few ways you can show off your skills (and even get paid for it):

Data Scientist Resume Sample Template & Data-Driven Guide

  • Start freelance.
  • Present your skills to your friends and family.
  • Contribute to open source projects on GitHub.
  • If the above don’t work, be your own customer! Show off your skills by creating fake projects.

New data scientist graduate? Be sure to check out our student resume guide!

Use Action Words to Make Your Data Scientist Resume POP!

  • “Made”
  • “Worked”

… Are common words that the recruiter sees over and over again.

However, you want to differentiate your resume from the competition, which means using strong words to make your achievements stand out:

  • Conceptualized
  • Determined
  • Formulated
  • Initiated
  • Managed
  • Spearheaded

How to Correctly List your Education

Every major resume needs an education section.

But don’t worry, nothing too complicated here.

Enter your educational background in the following format:

  • Degree Type and Major
  • University name
  • Years Worked
  • GPA, Honors, Courses and anything else you might want to add

Here’s what it should look like:

BSc in Statistics

University of Bath

2012 – 2016

  • Related Courses: Probability and Statistics, Generalized Linear Models, Applied Statistics
  • GPA: 3.8

Now, you may have some questions regarding this section. So, the answers to some of the most frequently asked questions we come across:

  • What if I haven’t finished the training yet?

Whether you are a data science graduate or still a student, you should mention all the years studied to date.

  • Should I include my high school education?

The general rule of thumb is to include only your highest form of education. So include your high school education if you don’t have an eligible degree for data science

  • What should I put first, my education or my experience?

Experiences are priority, so these are first. If you have just graduated, you will probably need to start education.

  • Do you need to know more? See our guide on how to list training on a resume.

Top 15 Skills for a Data Scientist Resume

As for the skills section, the hiring manager has seen it all before.

In fact, data scientists need a data scientist to assist with their full CV!

You see, everyone lists all their skills, including job related ones.

Your skills section should highlight your best skills in a task-specific manner.

Here are some of the most common data scientist skills:

Hard Skills for a Data Scientist Resume:

  • Data Analysis
  • Statistics
  • Data Visualization
  • Quantitative Analysis
  • Machine Learning
  • Modelling
  • Mathematics
  • Probability
  • Debugging
  • Programming

Soft Skills for a Data Scientist Resume:

  • Critical Thinking
  • Communication
  • Research
  • Time-Management
  • Collaboration

Pro Tip:

  • Data scientists often use tools like Cloudera, PERL, and OpenRefine. If there are any tools or pieces of software that you are an expert of, add them to the skills section.Here is a more comprehensive list of over 101 must-have skills this year.

What Else Can You Include in a Data Scientist Resume?

We’ve now covered every essential resume section.

However –

The absolute BEST it can be?

Doing a great job with the sections above should be enough to shortlist you, but adding a few of the sections below could be the main factor in whether you are their new data scientist or not. How do you list data science skills on a resume?,#How do I write a data scientist resume?,#What is the best resume format to use in 2020?,#What skills does a data scientist need?,#Can I become a data scientist in 6 months?,#What are top 3 skills for data analyst?,#How long should your resume be 2020?,#Is resume now actually free?,#What type of resume is best?,#How can a data scientist stand out?,#What are data science recruiters looking for in a resume?,#What is data scientist job description?,#How do I write a statement of qualifications?,#What tools or devices help you succeed in your role as a data scientist?,#Where do you put personal projects on a resume?,#Who are eligible for data science jobs?,#Which company is best for data scientist?,#Why do data scientists quit?,#Which are red flags on a resume?,#Do you need an objective on your resume 2020?,#What are the 4 types of resumes?,#How long do recruiters look at resumes 2020?,#What does a good resume look like in 2020?,#Is it OK not to include dates on your resume?

Awards & Certifications

Have you won an award for your work in a data science-related field?

Have you completed any course to improve your skills and knowledge?

If you said yes to any of the above, don’t forget to mention them in your resume!

If you don’t have any awards or certificates, don’t worry, there are several companies like Google that allow users to get certificates online.

Awards & Certificates:

  • “IBM Data Science” – Coursera Certificate
  • Google Certified Professional Data Engineer – GCP
  • Microsoft Professional Program Certificate in Data Science
  • “Deep Learning” – Coursera Certificate
  • “Critical Thinking Masterclass” – MadeUpUniversity

Languages

While it is unlikely that you will need a second language, you may want to add a small language section to your resume.

As you can see, being able to speak a second language is always an impressive skill for a hiring manager.

Sort languages by proficiency:

  • Native
  • Fluent
  • Proficient
  • Intermediate
  • Basic

Interests & Hobbies

Now you may be wondering, “Why does a recruiter need to know my love for canoe?”

Your hobbies reveal more of who you are as a person.

The Hobbies section is an easy way to add personality to your resume, so add one if you have room.

Here are hobbies and interests you might want to mention.

Include a Cover Letter with Your Resume

Here’s the thing –

Cover letters still play an important role in the application process.

They provide a range of benefits, but the main reason for using a cover letter is to show the recruiter that you care about working for his company.

We must use the right structure to create a winning cover letter.

Here is what we recommend:

data scientist cover letter structure

You should complete the following sections:

Personal Contact Information

Your full name, specialist, email, phone number, location, and website (or Behance / Dribbble).

Hiring Manager’s Contact Information

Full name, position, location, email.

Opening Paragraph

It’s no secret that hiring managers review resumes and cover letters. Therefore, you need to connect the reader in the first few sentences. Use short language to talk about:

  • The position you’re applying for
  • Your experience summary and best achievement to date

The Body

Once you have aroused the reader’s interest, you can go deeper into the following details:

  • Why did you choose this private company?
  • What you already know about the company
  • How relevant your skills are to the role
  • In which similar sectors or positions have you worked before?

Closing Paragraph

Do not end the conversation suddenly, you should:

  • End the points specified in the body paragraph
  • Thank the hiring manager for the opportunity
  • Finish with a call to action. This is a good way to start a chat. A simple “At the first opportunity, I’d like to discuss more about how I can help company X” will work

Formal Salutations

Finish your cover letter in a professional way. Something like “Yours sincerely” or “Yours sincerely” will do.

For more inspiration, read our step-by-step guide on how to write a cover letter.

Key Takeaways

Congratulations!

If you followed all of the above recommendations, you have given yourself the best possible chance to take on that role of data scientist.

Let’s quickly summarize what we have learned:

  • Correctly format your data scientist’s resume by prioritizing the reverse chronological format and then following the content layout guidelines
  • Start your resume with a summary or goal to get the recruiter interest
  • Pay attention to your best achievements rather than your responsibilities in the work experience section.
  • Create a persuasive cover letter for an unrivaled application

Medical Assistant Resume – Examples & Guide for 2020

Previous article

21+ Essential LinkedIn Profile Tips For Job-Seekers [For 2020]

Next article

You may also like

Comments

Comments are closed.

More in Dünya