<p>I put SE stats on my resume and I am pretty sure it helped me ! Of course this is just one factor and the context is important.</p>
<h3>Context</h3>
<ul>
<li>Switch of career from a business oriented job (management consulting) to a more technical area (data analytics)</li>
<li>I spent 8 months up skilling in statistics, data science, programming - using university lectures (we can attend those for free in France), MOOC, books and SE</li>
<li>My posts on SE are mostly additions to existing answers, more detailed proofs, or intuitive interpretations.. but I went from 0 to 3.8k points in less than a year</li>
</ul>
<h3>What I wrote on my CV</h3>
<p>Since my CV was light on the datascience / statistics side I added these bullet points</p>
<blockquote>
<p><strong>Statistics</strong>:</p>
<p><strong>Bias-variance tradeoff and stability</strong>: Simulations and literature review contrasting recent research results with widely held views on &quot;Leave One Out Cross Validation&quot;</p>
<p><strong>Active contributor in the online community</strong>: top 1% this quarter</p>
</blockquote>
<p>I also added a link to my SE profile, together with links to LinkedIn and my blog</p>
<h3>My point of view as a hiring manager</h3>
<p>I am now the hiring manager for the analyst / senior analyst role and my personal view (which is somewhat biased) is that SE stats on their own will not land you a job. The stats are just one part of the story you are trying to convey to the recruiter.</p>
<p>But given two similar candidates, with a story and context that make sense, then SE stats will definitely make you stand out. Even though having a lot of points on SE does not guarantee that a person is knowledgeable, it does convey strong written communication skills. Being able to explain a technical concept to a wider audience is crucial for analyst and data scientists.</p>
