Senior Data Scientist

<div class="content-intro"><p>Headquartered in Silicon Valley, California, Archer is a leader in the next-gen aerospace sector building an end-to-end advanced air mobility platform that delivers air taxis, unmanned aircraft systems (“UAS”), aviation-related physical artificial intelligence (“AI”) solutions, and other technologies to customers worldwide across the commercial aerospace and defense sectors.</p> <p><span style="font-weight: 400;">Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.</span></p></div><p data-start="651" data-end="670"><span style="font-size: 12pt;">Archer is best known for Midnight, our electric aircraft. This role isn't on that program. The AI Products Org builds consumer software for the general aviation industry. There's a lot we're not ready to talk about publicly yet, so this posting stays vague on purpose. What we can say: the products are real, they ship, and people use them every day.</span></p> <p data-start="651" data-end="670"><span style="font-size: 12pt;">As a Senior Data Scientist here, you’ll be the bridge between raw, messy aviation data and the intelligence that powers our AI platform. You aren’t just building models; you’re taking high-frequency aircraft telemetry and noisy air traffic control audio and figuring out what's <em>actually</em> happening in the sky.</span></p> <h3 data-start="1228" data-end="1250"><span style="font-size: 12pt;">What You’ll Do:</span></h3> <ul data-start="1251" data-end="1907"> <li style="font-size: 12pt;" data-start="1251" data-end="1347"> <p data-start="1253" data-end="1347"><span style="font-size: 12pt;">Derive new signals from high-throughput, real-time data streams, inferring complex physical and operational states that are not directly observable in the raw telemetry.</span></p> </li> <li style="font-size: 12pt;" data-start="1251" data-end="1347"> <p data-start="1253" data-end="1347"><span style="font-size: 12pt;">Build, evaluate, and iterate on models across diverse modalities, including dense time-series, spatial data, and highly noisy, unstructured sequential data.</span></p> </li> <li style="font-size: 12pt;" data-start="1251" data-end="1347"> <p data-start="1253" data-end="1347"><span style="font-size: 12pt;">Design evaluation for problems with little or no labeled ground truth, using weak supervision, and programmatic labeling — and defend those definitions to engineers and domain experts.</span></p> </li> <li style="font-size: 12pt;" data-start="1251" data-end="1347"> <p data-start="1253" data-end="1347"><span style="font-size: 12pt;">Partner with backend and platform engineers to take models from offline analysis into production streaming pipelines, and own their behavior once they are live.</span></p> </li> <li style="font-size: 12pt;" data-start="1251" data-end="1347"> <p data-start="1253" data-end="1347"><span style="font-size: 12pt;">Work directly with aviation subject-matter experts to turn operational knowledge into features, labels, and evaluation criteria.<br></span></p> </li> </ul> <p><span style="font-size: 12pt;"><br><strong>What You Need:</strong><br></span></p> <ul data-start="1947" data-end="2214"> <li style="font-size: 12pt;" data-start="1947" data-end="2030"> <p data-start="1949" data-end="2030"><span style="font-size: 12pt;">BS/MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Operations Research, Aerospace Engineering, or a related quantitative field.</span></p> </li> <li style="font-size: 12pt;" data-start="2031" data-end="2063"> <p data-start="2033" data-end="2063"><span style="font-size: 12pt;">2+ years of applied data science or machine learning experience, including models that have run in production.</span></p> </li> <li style="font-size: 12pt;" data-start="2031" data-end="2063"> <p data-start="2033" data-end="2063"><span style="font-size: 12pt;">Strong Python and strong SQL over large analytical datasets.</span></p> </li> <li style="font-size: 12pt;" data-start="2031" data-end="2063"> <p data-start="2033" data-end="2063"><span style="font-size: 12pt;">Depth in time-series and sequence modeling.</span></p> </li> <li style="font-size: 12pt;" data-start="2031" data-end="2063"> <p data-start="2033" data-end="2063"><span style="font-size: 12pt;">Experience working with sparse, incomplete, or unlabeled data — weak supervision, programmatic labeling, and building evaluation sets where no ground truth exists.</span></p> </li> <li style="font-size: 12pt;" data-start="2031" data-end="2063"> <p data-start="2033" data-end="2063"><span style="font-size: 12pt;">Experience designing data validation and drift detection for continuously arriving data.</span></p> </li> <li style="font-size: 12pt;" data-start="2031" data-end="2063"> <p data-start="2033" data-end="2063"><span style="font-size: 12pt;">Able to leverage AI assistants to increase velocity while fully understanding and taking absolute ownership of every model, feature, and analysis you ship.</span></p> </li> <li style="font-size: 12pt;" data-start="2031" data-end="2063"> <p data-start="2033" data