Who else wants to get a job in data science?
This data science career resource introduces you to the best data science career tips and how-to’s… period.
Each chapter contains several links to hand-picked blog posts that improve your data science skills, build an online portfolio, improve your resume, prepare for your job interviews, and follow up after.
This will be a living resource, so bookmark this page.
Are you ready to get a job in data science?
Here’s what you need to do:
First, the BEST way to stay updated on the latest data science career tips is by following me on LinkedIn.
(I often share super helpful links about data science, Python development, and more.)
Then, after you’re done following me on LinkedIn, you can continue to peruse this in-depth data science career resource.
You’ll learn how to gain the skills you need, craft your resume, build an online portfolio, prepare for your interviews, and much more!
Introducing: The Ultimate Data Science Job Guide
Here is how you get started. When you click one of the chapter links below, it will jump you to your desired chapter… without refreshing the page. So pick whichever chapter you like and get started.
- Chapter 1: Why is Data Science Popular and Where Is The Industry Going?
- Chapter 2: What You Can Expect To Do As A Data Scientist
- Chapter 3: Job Opportunities in the Data Science Industry
- Chapter 4: Skills Employers Are Looking For TODAY
- Chapter 5: Building a Data Science Portfolio
- Chapter 6: Preparing Your Resume
- Chapter 7: Updating Your LinkedIn Profile
- Chapter 8: Prepping For Your Data Science Interview
- Chapter 9: Do’s and Don’ts For Your Interview
- Chapter 10: Following Up After Your Interview
If you like this data science resource please remember to share it with your friends on social media.
Since you’re reading this I’ll go out on a limb and assume you’re looking for a job in data science.
Well you’re in the right place!
You may have heard that data science is one of the fastest growing fields, and that the industry has more jobs and not enough people to fill them.
But why is that?
And where is the data science industry going?
Is this whole data science thing just a fad or is it really a trend?
These resources will show you the industry trends so you can stay ahead of the curve.
- 3 Reasons Why data Scientist Remains the Top Job in America | InfoWorld
- Why Is Machine Learning Popular? | Quora
- Data Science Trends in 2018 | Dataversity
- What Are the Biggest trends in Data Science? | Stanford Engineering
- What the Future of Work Will Mean for Jobs, Skills, and Wages | McKinsey Global Research
- The Fastest-Growing Jobs in the U.S. Based on LinkedIn Data | LinkedIn Blog
Data Scientist as a job is a bit amorphous and can mean many things depending on the employer you’re talking to.
So what exactly does a data scientist do?
Find out from a number of people currently in the field and see what employers are asking for.
- What Is Data Science, and What Does a Data Scientist Do? | KDNuggets
- What Do Data Scientists Do? | Wisconsin University
- Understanding Data Science and Why It’s So Important | Alexa Blog
- What Data Scientists Do All Day at Work | Wall Street Journal
- Career Spotlight: What I Do as a Data Scientist | lifehacker
- Data Scientist Jobs | LinkedIn
As you saw in Chapter 2 there are a number of jobs that a data scientist performs.
Guess what – data scientist isn’t the only job title. Yes, there are others!
Use the resources below to see the different jobs available in the data science industry.
- 7 Types of Data Scientist Job Profiles | KDNuggets
- The Data Science Industry: Who Does What (Infographic) | Data Camp
- 8 Different Job Roles in Data Science / Big Data Industry | Hacker Earth
- Six Categories of Data Scientists | Data Science Central
Data scientists have three major skillsets – software engineering, math & stats, and data communication. But how does that work out in the real world?
Before you go down one or three rabbit holes, use the following resources to see what skills employers are looking for TODAY.
- Demystifying Data Science: 4 Kinds of Data Science Jobs and 8 Skills that Will Get You Hired | Udacity
- What Are The Top Five Skills Data Scientists Need? | Forbes
- Here Are The 10 Skills You Need to Become a Data Scientist | Tech Republic
- Key Skills That Data Scientists Need | Dice
- Can I Become a Data Scientist: Research into 1,001 Data Scientist Profiles | 365 Data Science
- If You Want To Be a Data Scientist, You Need to Know About These 6 Trends | Silicon Republic
One of the most important things you can do is show your experience. But what do you do if you don’t yet have any?
Worry not my friend!
Whether you’re just getting into the data science industry or are entering from another field, use these resources to build an online portfolio you can point employers to.
- How to Build a Data Science Portfolio that Attracts Employers | Robert Dempsey
- Need a Job? Add These 8 Pretend Projects to Your Portfolio | SkillCrush
- Building a Data Science Portfolio: A Newcomer’s Guide | Data Mania
Now that you know about all the different jobs in the data science industry, what employers want, and how to build an online portfolio, it’s time to get your resume ready.
Below are resources specific to crafting a data science resume, as well as some of the best resume building tips I found.
Also an important note – if you lack design skills I highly recommend considering paying someone to design your resume. Having a professionally designed resume can go a long way to standing out, and it can put you in the best light. After all, this is your future we’re talking about! Don’t cheap out.
- Top 10 Cover Letter Writing Tips | The Balance
- Cover Letter Mistakes You Should Avoid | Monster
- Data Scientist Resume Sample | Monster
- How to Make Your Data Science Resume Stand Out | Wisconsin University
- Data Scientist Resume Projects | Statsbot
- Why Should You Pay Someone To Write Your Resume? | Arielle
You are on LinkedIn aren’t you?
No?! Hop on it and create a profile pronto!
If you are, excellent. Now it’s time to be sure that profile of yours is up to date and making you look awesome.
There are definitely techniques you can use to attract recruiters and employers and entice them to contact you. Use the resources below to do it.
Another note – I’ve happily paid for courses that taught me how to improve my profile. It can save time scouring the Internet for how-to articles, though I’ve done the work for you this time. All I suggest is you consider a short course or paid ebook to help you optimize your profile.
- What Do Hiring Managers Look For in a Data Scientist’s CV? | Ben Dias
- How To Update Your LinkedIn Profile Based On What You’ve Done And Where You Want To Go | Forbes
- SDS 073: How to Stand Out To Recruiters In Data Science | Super Data Science
- 9 Simple Tips to Make a Better LinkedIn Profile | The Balance
- LinkedIn Makeover | Donna Serdula
With your portfolio and resume ready and the recruiters buzzing all around, it’s interview preparation time.
Below are some resources that are data science specific, and others that are just plain good to know.
Trust me when I tell you to be sure to always go into an interview prepared. These links will help you do just that.
- 100+ Common Data Science Interview Questions | Data Science Central
- How To Prepare For A Data Science Interview | Acheron Analytics
- What To Expect and How to Prepare for a Data Science Job Interview | Data Science Bootcamps
- 20 Most Popular Data Science Interview Questions | Simplilearn
- How to Prepare for a Job Interview | The Balance
There are things you should do during an interview and things you definitely shouldn’t.
What are they?
Whether you’re doing a preliminary interview by email or phone, or you’re talking with people in person, use these tips to have the greatest potential of landing your data science job.
- Job Interview Preparation: How to Prepare for an Interview in 3 Steps | The Ladders
- Killer Do’s and Don’ts for Job Interview Success | Job Hunt
- Interview Dos & Don’ts: 16 Tips for a Successful Job Interview | Masterson Staffing
- Phone Interview Do’s and Don’ts | The Balance
- 7 Things You Should Never Say During a Job Interview | Student Loan Hero
- Job Interviewing Dos and Don’ts for Job-Seekers | Live Career
You did an awesome job rocking the interview. Now what?!
Time to follow up!
How long should you wait to follow up? You want to seem excited but not desperate.
And what’s the best way to follow up? Email? Phone call? Hand written note?
And how do you handle not getting any response?
Do what so many don’t and learn to follow up like a pro.
- How Soon You Should Follow Up After a Job Interview? | Live Career
- Should You Send a Thank-You Note After Your Interview? | Monster
- How to Follow Up After a Job Interview | The Balance
- 5 Ways to Write a Follow-Up Email After an Interview | Zippia
- How to Write an Effective Follow Up Email After No Response | Tuts Plus
Want to add a resource to this chapter? Tweet me with “Bonus Chapter” and provide a link.