Name: 如何獲得數據科學實習機會｜數據科學領域從業者的必備技巧 (How to Get a Data Science Internship | Essential Tips for People Starting a Career in Data Science)
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Nowadays reports and publications consistently name ‘data scientist’ as one of the preferable

While there are many articles about the set of skill you need to get the data scientist

position, we wanted to focus on the students who crave working in this prosperous field.

The benefits of a data science internship are countless, beginning with the opportunity

to work with professionals in the field, up to building your own portfolio.

These internships offer fantastic mentorship and networking opportunities.

You can learn from professional data scientists and demonstrate you are already one step ahead

Watching this video means that you are already aware of all that, so let’s focus on how

to get the desired data science internship.

What does a data science internship look like?

Data science internships are a unique opportunity for people who want to gain hands-on experience

working with data at a fast-growing company.

In fact, many recent graduates often have difficulty when they enter their first official

Suddenly they realize that the data they will be working with is much messier and more complex

than what they’ve experienced while studying.

There is, however, a simple explanation why this happens.

As a student, many of the data sets you encounter are carefully preprocessed by the course instructor,

so they are much “cleaner” compared to actual “real world” data sets.

And this is one of the massive benefits of taking a data science internship, working

People, who have just entered the field, have very high expectations about the job, but

the truth is that it is highly unlikely that you will be tasked with creating a machine

Because 90% of machine learning is preprocessing and 10% is modeling.

To sum up – expect messy, raw data and all that comes with this beautiful chaos.

What we are referring to, of course, is the hands-on-experience and unparalleled exposure

to skilled data scientists that will help you along the way!

What are the main activities undertaken during a data science internship?

We said that a data science internship will introduce you to real-life data.

As a data science intern, you’ll be on a team of professionals who are solving business

problems for companies (including the one you’re working at).

We mentioned machine learning, but a more probable workload scenario would involve:

conducting analyses, producing reports, building creative data visualizations, molding the

data into a narrative or the better-known – telling a data-driven story

All of these might sound overwhelming for the novice data scientist, but you won’t

You will work closely with engineers, product designers, and product managers.

You will be asked to devise metrics, design randomized controlled experiments, and tackle

While on this topic, it is a good idea to commit yourself to learn and mastering one,

two or more programming languages, to have some SQL skills, and to know how to use some

Just give it a try and you will find that these concepts are truly not that complex

In fact, the more you learn during your internship, the more your manager will notice you and

after all, isn’t the end goal of an internship to get hired by the company you have worked

for (or to have leverage when negotiating with an even bigger one)?

what do you need to do to get the internship?

Having said all that, it won’t come as a surprise if we tell you that the key to success

These tips are all over the internet, but let’s look the basics you want to have covered:

That’s the reason you are doing an internship – to gain experience.

Interns are a great way to bring new and innovative ideas onto a team because interns come with

“Companies can use this perspective to their advantage by working closely with interns

to develop and test new hypotheses”, says Eric Frenkiel, co-founder and CEO of database

The sooner you start with building your data science resume the better.

You need to make sure it is up-to-date and includes previous projects.

You won’t believe how many people underestimate the power of the CV!

You might want to consider making your cover letter fully customized.

It will make you stand out from the other applicants.

A generic cover letter is sure to make an impression that this is just one more application

No employer likes to think they are just one of a long list of possibilities, and it makes

In addition, being aware of relevant interview etiquette is a great benefit.

Finally, some companies look for soft skills when hiring data science interns.

Feel free to practice possible interview questions with your friends.

This will certainly make you feel more confident and well-prepared.

Still, we are not here to tell you the things you can easily find online.

We have prepared for you a cheat sheet with success strategies for finding the data science

Best foot forward… start participating in career events and job fairs

The benefit of visiting these events is getting in touch with a lot of companies.

It is a time-efficient process and you have the chance to make a good impression by showing

Reading glasses on… and dive into your University Job Board

Look at it often, because sometimes firms announce certain job openings exclusively

Many students don’t pay attention to this source of opportunity, so doing so immediately

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如何獲得數據科學實習機會｜數據科學領域從業者的必備技巧 (How to Get a Data Science Internship | Essential Tips for People Starting a Career in Data Science)

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