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Feeling inspired to write your first TDS post? We’re always open to contributions from new authors.
With January just around the corner, we’re about to enter prime career-moves season: that exciting time of the year when many data and machine learning professionals assess their career growth and explore new opportunities, and newcomers to the field plan the next steps towards landing their first job. (It’s also when companies tend to ramp up their hiring after the end-of-year lull.)
All this energy often comes with nontrivial amounts of uncertainty, stress, and the occasional moment of self-doubt. To help you calmly chart your own path and avoid unnecessary second-guessing (of yourself as well as of hiring teams, colleagues, and others), we put together a special edition of the Variable focused on career transitions for both new and current practitioners.
We never miss a chance to celebrate data scientists’ diverse professional and academic backgrounds, and the lineup of articles we’re presenting here reflects that range, too. Whether you’re thinking about a switch to management, are about to jump into your first startup job, or are in the midst of transitioning to data science from a totally different discipline, you’ll find some concrete, experience-based insights to learn from.
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