Staff Applied Scientist, AdTech
Launch Potato
Job Description
<div class="content-intro"><h3>WHO ARE WE?</h3><p><a href="https://launchpotato.com/careers?utm_source=greenhouse&utm_medium=jobpost&utm_campaign=careers-back-to-careers" rel="nofollow ugc noopener noreferrer" target="_blank"></a><a href="https://himalayas.app/companies/launch-potato">Launch Potato</a> is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as <a href="https://financebuzz.com/?utm_source=greenhouse&utm_medium=jobpost&utm_campaign=careers-to-brand" rel="nofollow ugc noopener noreferrer" target="_blank">FinanceBuzz</a>, <a href="https://allaboutcookies.org/?utm_source=greenhouse&utm_medium=jobpost&utm_campaign=careers-to-brand" rel="nofollow ugc noopener noreferrer" target="_blank">All About Cookies</a>, and<a href="https://www.onlyinyourstate.com/?utm_source=greenhouse&utm_medium=jobpost&utm_campaign=careers-to-brand" rel="nofollow ugc noopener noreferrer" target="_blank"> OnlyInYourState</a>.</p><p>As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.</p><p>Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.</p><h3>WHY JOIN US?</h3><p>At <a href="https://himalayas.app/companies/launch-potato">Launch Potato</a>, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.</p></div><h3>MUST HAVE: </h3><ul><li>Proven experience in digital marketing, performance marketing, or the leadgen industry</li><li>Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired)</li><li>Strong modeling fundamentals: the ability to build effective models that drive business impact</li><li>Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud</li><li>Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling</li><li>Expert Python and SQL</li></ul><p><strong>EXPERIENCE: </strong>5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact.</p><h3>YOUR ROLE</h3><p>Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency. This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis.</p><p>You will start focusing on Insurance and