5 Best Practices to Land Data Scientist Job
The lack of skilled IT workers is hurting the deployment of emerging technology, according to a new survey from Gartner. In areas from cloud to cybersecurity, this crisis is expected to last for years to come.
Before we begin, let’s take a look at the latest findings on
data scientist jobs in USA.
1. A study by McKinsey projects that “by 2018,
the U.S. alone may face a 50 - 60% gap between supply and demand of deep
analytic talent.”
2. Harvard Business Review called ‘Data
Scientist’ the sexiest job of 21st century.
3. Glassdoor ranked ‘Data Scientist’ as the best
job to pursue in 2016.
There is a deluge of opportunities in the data science field. If
you are excited about pursuing this challenging and lucrative career, here are
some best practices to land you the best job.
Build a Captivating Portfolio:
Employers hire candidates who demonstrate that they are worth
their salt, especially for fresher jobs. So, build a portfolio that
testifies to your expertise and experience. Walk the employer through the best data
science projects you worked on as part of your previous job, part-time job,
internship or course. If you have any online presence like a blog or website
that showcases your work and skills in the field, do mention it. Your portfolio
makes the first impression on employers. Build a captivating one to make it the
best impression.
Create your personal brand:
Once you are ready with the portfolio, it is time to make your
way into the data science field. Start with building network among data
scientists. You would need the support of people who can carry a word
about your skills to the employer and help you with job search. They give
access to job opportunities that are not found even on the best jobs posting
sites and are filled through referrals.
Interact with data scientist community and participate in
solving real world problems. This will enable you build a portfolio and
personal brand, necessary to land a job.
Get a mentor:
Channel some of your networking efforts towards finding a good
mentor. During job search, your will not know what companies are looking for
and how to prepare for interviews. Only someone who has been in a hiring
position would be able to advice you on this. He can also connect you to other
data scientists holding key roles in various companies and also job
opportunities in the field. Guidance of a mentor is especially necessary to
land fresher jobs.
Participate in activities:
Join data scientist groups and forums online. Participate
in data science events in your city where you can meet established and aspiring
data scientists. Learn what kind of challenges they face on job and how they
deal with them. Interactions with them can also unearth hidden job
opportunities. Follow the best data scientists on Twitter and LinkedIn. Keep checking
data science Podcasts.
Prepare for the Interview:
To face an interview for fresher job in data science, you need
to do some targeted preparation. The interview is usually a mix of technical
and non-technical questions including a few about your background and those
from data science and machine learning. Brush up the technical subjects. List
down frequently asked questions, frame impressive responses, and practice mock
interviews.
Getting a fresher job in data science can be challenging. But by
following these five effective job search techniques, you will succeed for sure.
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