I dislike when conversations about what data scientists should and shouldn't be doing default to being about education and skillset, rather than what their company hired them to do
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Sometimes a cutting-edge or advanced technique really is the best tool for the job. Being able to identify those situations and use your hard-won knowledge is one of the most intellectually rewarding parts of DS work. But it's also fine if you rarely need to pull out the big guns
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Producing consistently valuable work, even if the way you do it seems too simple, will build trust with your stakeholders. Trust makes it easier to get space to solve bigger problems and maybe even find a way to flex and grow those more sophisticated skills
