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Where to get a Data Science job?

#data #computer-science #job-search

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G. Mark’s Answer

We are in an age where the interconnection of societies, countries, people surrounded by communication and especially the internet are producing astounding amounts of data. The Internet of Things is accumulating, it is estimated at the moment, about 50 percent more data per year each year for at least the next five years. After that, it's likely to be much more. It's estimated there will upwards of 80 billion sources of data on the planet by 2020. Understandably, Artificial Intelligence and specifically Machine Learning are being used to leverage this data to find patterns and make predictions and analyses simply because this is a resource that is just too good to ignore. Data Science is an application of this happy situation. It is a source of a distinct competitive advantage as well as an opportunity to help everyone be more successful, powerful, effective, healthy, safe and, yes, happy. So Data Science jobs will be tremendously numerous. Right now, you can look at any job board and see positions requiring Data Science. Check out Monster, Indeed or any of the other dozens of job boards.

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Mila’s Answer

It can be quite hard to get into the field as competition is high, but you can try to join any team that does deal with data (most of the fields nowadays - customer experience, marketing, technology etc) and start digging towards data science direction from there. There is a very obvious lack of talent in data science and anyone who is interested in working with data and willing to take that approach to analysis is highly regarded.
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Yi’s Answer

same place you find any other job,; in addition to that, you can check out https://www.datasciencecentral.com/page/job-board
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Yubing’s Answer

Data science related jobs will be posted in job sites (such as LinkedIn, Indeed, etc.) together with other opportunities. Search data science and you will find many jobs related to data science and analytics.

To land your feet on data science related jobs, it will be better if you can prepare yourself to be a good fit for such opportunities. From technical perspective, get yourself familiar with relevant skills and tools is one of the key components. Usually R, Python, and statistical software including SPSS, SAS EG, etc. are some that are frequently used in the working environment. Besides, having some domain knowledge will help you land easier. This is where the internship or volunteer programs can help.

Good luck.
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Brian’s Answer

My advice would be to set up search alerts on Indeed, LinkedIn, IrishJobs (seen as you are located in Ireland), and any other relevant career site where relevant jobs are being advertised. That way you should receive regular emails with links to new jobs as they open up.

You should also personalise your CV for each role that you are applying for. Carefully read the job description and what they are looking for, and tailor your CV for that role. Yes it will take some time, but a targeted application has a much better chance of catching a Recruiter's eye.

Finally, if you are early in your career and don't have too much real world experience I would suggest taking on some project work, or an internship if you are at all able to. Even if you only do a couple of months it will really stand to you in an interview and give you the opportunity to talk about some of the stuff that you have worked on. Reach out to some startups and offer your services. Once you have a little bit of experience working you will stand out over others that only have academic experience; and you never know it could well lead to an opportunity within that company.

Good luck with the job search!
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Claudia’s Answer

Hi Erik,

I am also based in Dublin and I think its a great location for any tech-related jobs! Data scientists seem to be in more and more demand in the software companies in Dublin and also Ireland in general (there are also some very interesting companies based out of Cork and Galway to name but a few).
I would advise signing up on LinkedIn, if you haven't done so already. You can add your CV and your skills there and look for jobs in the area, or even in other countries if you prefer to work abroad. As others mentioned, the field of data science is continuously evolving, so maybe it would be helpful to narrow down what you want to look for, something that matches your current skills and allows you to grow too.

Read the job descriptions carefully and apply for the ones where you feel you have some of the skills already. In my experience, you don't need to be an expert in all the skills the companies ask for, because if you have the basis you can always learn the rest.

Good luck with your job hunt!
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Rhett’s Answer

There are many answers to this question. The most obvious answer is to look for open job opportunities on site that list job offers like Linkedin and Indeed. However, also be sure to check the websites themselves for more information, as they will undoubtedly have these career opportunities described in more detail there.

Also look out for special events that certain companies offer, even if you are not guaranteed a job afterwards. Work programs and internships are very useful in gaining experience that may be needed to apply to even entry-level positions.
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Sean’s Answer

It's true that data science jobs are everywhere and still increasing, but please make sure what you are looking for as a "data science job" is aligned with what the company is looking for. Do you like working on programming more or do you like working on data analysis and visualization more?

For companies got in this field early (e.g. big tech companies), their data scientist have different specialties, such as "data scientist – analysis", "data scientist – experimentation", and "data scientist – ML". These specialties could be stated in the job title or description. If not, check with the recruiter or someone in the company.

For smaller companies for companies new in the data science field (traditional industry), they may be looking for a generalist who can do everything (data engineer + ML engineer + Data analyst + statistician). Sometimes they don't even know what they want to do with data science. They may be thinking applying "data science" can magically boost their revenue by 20%. Be aware of and prepare for this kine of job openings when you are seeking a data science position.

Sean recommends the following next steps:

Find jobs on Linkedin, Monster, Indeed, or company websites
Talk to recruiters or people in the company about the position
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C’s Answer

The others are right in that you should apply for jobs now. The industry is generally very hungry for talent, and you have decent odds that someone may be willing to roll the dice on you. However, there is another path that you can take to prove out your ability: Go to competition websites (like Kaggle) and join some of the offerings there. You'll learn a lot, make some connections with others in the field, and start to establish a track record of what you can and cannot do. You might even make a little money while you're at it.
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Data science jobs are everywhere already and growing everyday. Apply for jobs on linkedin. Most companies are in need of good data scientists now and if you are good at it, you will be hired. Also apply for jobs on the companies' job portal.

Navya recommends the following next steps:

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