5 Essential Lessons for Junior Data Scientists I Learned at Spotify (Part 2)
<p>So previously, we discussed :</p>
<ul>
<li>The <strong>importance</strong> of <strong>sharing</strong> your work <strong>regularly</strong> with stakeholders, even if it’s not finished yet</li>
<li>Seeking <strong>feedback</strong> regularly to ensure you’re <strong>on the right track</strong></li>
</ul>
<p>Doing this will help you build trust with your team and stakeholders to make sure your work has the impact it deserves. Talking about trust, let’s jump right into <strong>lesson #3.</strong></p>
<h1>Lesson 3 — Start Building Trust</h1>
<blockquote>
<p><em>Making an impact is all about pushing your ideas to the people who will </em><strong><em>turn them into actions</em></strong><em>.</em></p>
</blockquote>
<p>These people are usually product <strong>managers</strong><em> (who build the vision and strategy for a product), </em><strong>designers</strong> <em>(who design the product), </em>and <strong>engineers </strong><em>(who will evaluate the technical feasibility of the idea and build it)</em>. The insights you will share and recommendations you will make will be driving the work of the whole team (product managers, designers, and engineers)<em>.</em></p>
<p>So it comes as no surprise that you need to learn how to <strong>persuade</strong> people <strong>why they should listen to your ideas and why they matter </strong>in the first place.</p>
<p><em>(You can also check out my detailed post </em><em> on how you can turn your insights into impactful actions)</em></p>
<p><a href="https://towardsdatascience.com/5-essential-lessons-for-aspiring-data-scientists-i-learned-at-spotify-part-2-53b84ee5e8ee"><strong>Read More</strong></a></p>