Breaking into your First Data Role: Tips to Tackling the Cold Start Problem
Tips for the Aspiring Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer or Analytics Engineer
Post was originally published in October 2019 and has been updated in May 2020 for relevancy.
Question: What can I do to break into -- or transition careers into -- my first role as a Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer or Analytics Engineer?
Answer: ...it depends. It mainly depends on your interests, technical and soft skills, and your application strategy.
Advice on how to improve your technical skills also depends... on how you learn best, how much coding is required for the role, how much you're comfortable with, what you're looking to get out of the class/blog, etc. Having said that, here's my step-by-step guide that can help you break in:
Determine how you learn best:
Determine what industry/industries you want to get into.
Research (ideal) job postings and figure out what (if any) skill gaps you have.
(Easier said than done) I highly encourage you to develop a demo (project, tutorial, talk, notebook, etc.) -- that you can link to -- that answers a key business question in that industry and fills-in 1+ (if any) gaps that you've identified in Step (2).
Bonus points if the business question relates to (or is explicitly mentioned in) the job opportunities you've identified in Step (3).
Bonus points if you're transitioning careers and "can leverage your existing expertise on a domain you understand well", recommends Jason Yamada-Hanff.
Then, as part of your application strategy:
Make sure that (ideally) each bullet on your resume mentions the business impact of the work, using X-Y-Z formula.
Then, on your resume and in an interview, your demo will give you an edge by showcasing your communication skills, business knowledge, and technical expertise.
Show up (virtual/in-person) -- even if it's once per month -- for meet-ups focused on your ideal industry and technical role(s) (from Steps 2 + 3 above). Please note: these may be different meet-ups.
When you reach out to prospective employers, you do so with a tailored message.
Please note: If you change the company name/industry/etc. and the content is still relevant, then the note is too general.
If you need additional support, please check out:
Leach Teach Code's study groups and monthly mentoring nights;
Women Who Code's meet-ups and workshops;
Schedule a mentoring session with me;
and let me know what worked for you. Good luck!
Keywords: Data Science careers, breaking into data, data products
You may also like:
Data Science is Different Now, by Vicky Boykis (Feb 2019)
Interview Strategy that Landed me my First Data Science job, by Kate Marie Lewis (Feb 2020)
6 Principles to Guide my (Startup) Job Search, by Mansi Kothari (April 2020)
What no One will Tell you about Data Science Job Applications, by Edouard Harris (Feb 2019)