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How can I get a job in Data Science?
How can I get a job in Data Science as I am new to this field and have no prior experience? What are the steps I can take in order to get an internship or entry-level job?
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7 answers
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Marcy’s Answer
Research which area of data science you want to pursue and build a portfolio of projects. Practice all of the current programming languages and data visualization software. Focus on and practice telling the story to a non-data centered audience.
Thanks for the advice.
Sami
Updated
Atul’s Answer
Are you pursuing Computer Science degree right now?
If not this is the 1st step.
Take courses if offered by the Univ in BI, AI and other Analytics to pursue your dream.
Cybersecurity is the ideal place but first pursue Computer Sc degree before becoming Data Scientist profession.
If not this is the 1st step.
Take courses if offered by the Univ in BI, AI and other Analytics to pursue your dream.
Cybersecurity is the ideal place but first pursue Computer Sc degree before becoming Data Scientist profession.
Yeah, I am doing Software Engineering.
Sami
Updated
Jake’s Answer
The blunt answer is that it's a lot harder to get started in DS than it was a few years ago. The field has been in the spotlight a lot, which has led to a lot of non-very-good schools and bootcamps springing up with promises of high salaries right out of the gate. So supply now greatly exceeds demand, at least for entry-level roles. Unless you have a PhD in a quantitative field, expect an uphill battle.
Depending on your background, it may make more sense to pursue roles in a related subject, such as generalist software engineering, or data engineering, and then try to transition internally into a more DS-centric position. Also, data analyst and business intelligence roles, though less glamorous, are easier to get and are often seen as a stepping stone to DS proper.
Depending on your background, it may make more sense to pursue roles in a related subject, such as generalist software engineering, or data engineering, and then try to transition internally into a more DS-centric position. Also, data analyst and business intelligence roles, though less glamorous, are easier to get and are often seen as a stepping stone to DS proper.
Thank you so much for the advice.
Sami
Updated
Drew’s Answer
Form a strong educational foundation within statistics, math, and/or computer science. Couple this with hands on skills in Python, and SQL. Learn about Machine Learning, there are lots of resources available online from Stanford's CS229 course. Maybe pick up a jupyter notebook and start playing around with rapids. https://www.dataquest.io/blog/jupyter-notebook-tutorial/.
I have learned these skills. Now I am looking for internships.
Sami
Updated
Vamshee’s Answer
Join LinkedIn and create profile, make connections who are working in Data Science, also find out the companies who have job opening in Data Science.
Prepare a very good resume highlighting what have you done in Data Science and your project.
Also find out the job responsibilities and job requirements in Data Science to highlight the relevant skill, acquire or learn tools/skills that would help you get the job.
Attend some Career Fairs/Events in your area
Take some courses/certifications offered for free or less on Linkendin,Udacity etc .
Prepare a very good resume highlighting what have you done in Data Science and your project.
Also find out the job responsibilities and job requirements in Data Science to highlight the relevant skill, acquire or learn tools/skills that would help you get the job.
Attend some Career Fairs/Events in your area
Take some courses/certifications offered for free or less on Linkendin,Udacity etc .
Updated
Jeff’s Answer
Hello, Sami!
If you're going to school and getting a degree that is analytics focused and/or it happens to be in the operations research, physics or math area, the transition should be easier. Considering you're in NY, I would suggest subscribing to a couple of email alerts such as fortune, termsheet, and robinhood snacks. You will be able to identify newly financed companies in the NY area and considering more companies are doing something related AI or even consumer(though investment is weaker in this area) they will need DS interns.
Interns' web applicant numbers are significant. Reach out directly to a leader in the business using LinkedIn.
One other comment I'd make is that larger companies; Google, FB, Stitchfix usually maintain the Early Talent programs even in a downturn so don't let recent layoffs scare you from sending your information to a potential employer.
If you're going to school and getting a degree that is analytics focused and/or it happens to be in the operations research, physics or math area, the transition should be easier. Considering you're in NY, I would suggest subscribing to a couple of email alerts such as fortune, termsheet, and robinhood snacks. You will be able to identify newly financed companies in the NY area and considering more companies are doing something related AI or even consumer(though investment is weaker in this area) they will need DS interns.
Interns' web applicant numbers are significant. Reach out directly to a leader in the business using LinkedIn.
One other comment I'd make is that larger companies; Google, FB, Stitchfix usually maintain the Early Talent programs even in a downturn so don't let recent layoffs scare you from sending your information to a potential employer.
Updated
Ken’s Answer
Data science is a field a number of technology companies are in need of. However, several retail and medical services companies use data to make day-to-day minor and major decisions; offering internships that can result in entry-level opportunities. I would suggest you start with a search of job websites to determine the most commonly required credentials. Once you have that list be sure to check which are relevant to what you want to do and determine if you need to acquire certifications, training, etc. Next, go online to see if you can acquire any of these skills free of charge.
Machine learning and repetitive process automation are other avenues to consider. Good luck!
Machine learning and repetitive process automation are other avenues to consider. Good luck!