<div class="content-intro"><p>StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.</p></div><div class="section page-centered"> <div> <div class="section page-centered"> <div>We are searching for a talented Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we re dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.</div> <div> </div> <div>Want to learn more about our Data Science Team: <a class="postings-link" href="https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/">https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/</a></div> <div>Learn more about our team culture here: <a class="postings-link" href="https://www.stackadapt.com/careers/data-science">https://www.stackadapt.com/careers/data-science</a> </div> <div>Watch our talk at Amazon Tech Talks: <a class="postings-link" href="https://www.youtube.com/watch?v=lRqu-a4gPuU">https://www.youtube.com/watch?v=lRqu-a4gPuU</a></div> <div> </div> <div>StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK, Ireland and Germany for this position.</div> </div> <div class="section page-centered" data-qa="preview-list-item-0"> <h3 data-qa="preview-list-item-0-text">What you ll be doing:</h3> <ul> <li>Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the art methods, to development using a deep understanding of classic methods</li> <li>Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms</li> <li>Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights</li> </ul> </div> <div class="section page-centered" data-qa="preview-list-item-1"> <h3 data-qa="preview-list-item-1-text">What you ll bring to the table:</h3> <ul> <li>Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.</li> <li>Have the ability to take an ambiguously defined task, and break it down into actionable steps</li> <li>Have a comprehensive understanding of statistics, optimization and machine learning</li> <li>Are proficient in coding, data structures, and algorithms</li> <li>Enjoy working in a friendly, collaborative environment with others</li> </ul> </div> </div> </div><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. <em>We do not ask c</em>andidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.</p> <p>This range represents base salary only. Depending on the role, cand

Applied Machine Learning Scientist

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