Data Scientist, Trust (ML/Algorithms)

<div class="content-intro"><p><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.</span></p></div><p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><strong>The Community You Will Join: </strong></span></p>
<p>“<em>Our real innovation is not allowing people to book a home; it’s designing a framework to allow millions of people to trust one another. Trust is the real energy source that drives Airbnb…</em>” </p>
<p>- Brian Chesky, Airbnb Co-Founder & CEO (2019)</p>
<p>Trust is the foundation of a vibrant Airbnb community. The Trust Integrity Data Science team helps build and protect that trust by ensuring that the content on Airbnb, including listings, profiles, messages and other user-generated experiences, is accurate, authentic and aligned with our policies and community standards.</p>
<p>We partner closely with product, engineering, policy and operations teams to develop advanced AI-driven content understanding systems, scale effective human-in-the-loop workflows and proactively defend against emerging content risks, so guests and hosts can interact with confidence.</p>
<p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><strong>The Difference You Will Make:</strong></span></p>
<p>This role sits at the heart of some of Airbnb's most consequential data science challenges, where rigorous statistical thinking and applied ML directly shape platform outcomes. You will own high-visibility initiatives that require both technical depth and strong business judgment - work that is visible to leadership and has measurable impact on Airbnb's users and bottom line.</p>
<p>The ideal candidate is a motivated and talented Data Scientist with strong applied machine learning intuition, a bias toward impact and the ability to navigate ambiguity and drive clarity in complex problem spaces.</p>
<p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><strong>A Typical Day: </strong></span></p>
<ul>
<li><strong>Artificial Intelligence / Machine Learning:</strong> Build and deploy production AI/ML systems for trust integrity, including feature engineering, model development and evaluation, thresholding, error analysis and end-to-end model lifecycle management. This includes working with NLP and LLM-based models in real production settings.</li>
<li><strong>Inference:</strong> Partner with inference data scientists to conduct rigorous quantitative analyses, applying working knowledge of causal inference to interpret results, assess impact, and identify gaps and opportunities to improve content quality and trust outcomes.</li>
<li><strong>Communication & Collaboration:</strong> Deliver clear, well-structured research findings with compelling data visualizations and rigorous analysis to drive alignment and action with cross-functional partners in product, engineering and operations</li>
<li><strong>Empowerment:</strong> Think strategically about how to scale and evolve data science capabilities within your domain, contributing to the long-term vision for how science drives platform outcomes</li>
</ul>
<p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><strong>Your Expertise:</strong></span></p>
<ul>
<li>2+ years of industry experience in a quantitative analysis role with a Master's degree in a quantitative field (statistics, economics, computer science, etc.), or PhD in relevant fields.</li>
<li>State-of-the-art knowledge of AI/ML models </li>
<li>Hands-on experience building, evaluating and deploying NLP and LLM-based solutions</li>
<li>Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Spark, Airflow and data warehouse</li>
<li>Proven ability to communicate clearly and effectively to audiences of varying technical levels. Excellent project management, communication and collaboration skills</li>
<li>Working knowledge of causal inference</li>
<li>Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community. Publications or presentations in recognized journals/conferences is a plus</li>
</ul>
<p><span style="color: #000000; font-family: arial, helvetica, sans-serif;"><strong>Your Location:</strong></span></p>
<p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><span style="font-weight: 400;">This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. <a style="color: #000000;" href="https://careers.airbnb.com/">Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list</a></span><span style="font-weight: 400;">. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.</span></span></p>
<p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><strong>Our Commitment To Inclusion & Belonging:</strong></span></p>
<p><span style="font-weight: 400; font-family: arial, helvetica, sans-serif; color: #000000;">Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.</span></p>
<p><span style="font-family: arial, helvetica, sans-serif; color: #000000;"><span style="font-weight: 400;">We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: </span><a style="color: #000000;" href="mailto:reasonableaccommodations@airbnb.com"><span style="font-weight: 400;">reasonableaccommodations@airbnb.com</span></a><span style="font-weight: 400;">. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. </span></span></p>
<p><span style="font-weight: 400; font-family: arial, helvetica, sans-serif; color: #000000;">We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.</span></p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><span style="font-size: 16px;"><strong><span style="font-family: arial, helvetica, sans-serif; color: rgb(0, 0, 0);">How We'll Take Care of You:</span></strong></span></p>
<p class="p1"><span style="font-size: 16px;">Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.  </span></p></div><div class="title">Pay Range</div><div class="pay-range"><span>$151,000</span><span class="divider">—</span><span>$175,000 USD</span></div></div></div>