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Whether you're fresh out of college or boot camp, or looking to transition into a data science role from a different field, the various paths to landing your first (or second, or third) job cross terrain in constant change. The skills needed continue to evolve, new tools and technologies appear every day, and the job market itself has become more competitive in recent years. What's an aspiring data scientist to do?
Well, a good first step would be to read this week's highlights, which address these perennial questions with up-to-date knowledge and practical advice. From finding your niche as a freelancer to ensuring you successfully market your existing knowledge and experience, these articles offer concrete roadmaps based on their authors' own professional journeys. Enjoy your reading!
- The Two Sides of Hiring: Recruiting vs. Interviewing for Data Roles in Various Markets
Having applied for over 150 positions and reviewed over 500 applications in multiple countries, Marina Tošic has a unique perspective on the factors that determine data scientist job search success. She breaks them down into helpful tips that you can apply and adapt to your specific situation. - Math I Look for in Data Scientist Interviews
The amount of math you need as a data professional varies greatly by role, industry, and company, but you'll almost certainly need to come prepared with basic knowledge in a few key areas. Farzad Nobarwho has been involved in recruiting at amazon for several years, outlines the topics and approaches you need to master to demonstrate that you have a solid foundation and differentiate yourself from other candidates.
- My freelance experience as a geographic data scientist on Upwork after 10 months
What should you do if you want to get into the world of data science consulting and freelancing, but your skill set is “kind of weird and weird,” as is often the case for professionals who come from an academic background? Alexei Rozanov shares pragmatic learnings based on almost a year of work developing your profile and expanding your network on the popular freelance platform Upwork. - What you need to know before switching to a career in data science in 2024
“Everyone wants to move to ai, yet job ads are all about cloud, development, and operations. So what should you do if you want to get into data science in 2024? Sabrine Bendimerad reflects on the transformation of the job market in recent years and provides a step-by-step plan for aspiring data scientists who want to get into this field but aren't sure where to start.
