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Staff Data Scientist AI/ML

Qualtrics
USAfull_timePosted 24 Jul 2026

About the role

<div>At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers. <br><br>When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 5,000 people across the globe who think that’s work worth doing.</div> <div>&nbsp;</div> <div style="text-align: center;"><strong>Staff Data Scientist: Semantic Substrate Incubation&nbsp;</strong></div> <p><strong>Why We Have This Role</strong></p> <div>At Semantic Substrate Incubation, we are drowning in data but starving for meaning. As our lead data scientist, you will bridge this "Meaning Gap" by turning raw, chaotic event logs into an intelligent, concept-linked graph—the Semantic Brain. You will move past basic chat interfaces to architect an Identity-Anchored World Model that allows LLMs to understand complex enterprise ideas like "High-Value Churn Risk" and drive autonomous, agentic decisions. Working alongside a tight-knit team of researchers and production engineers, your work will directly define how the next generation of AI comprehends the business world.</div> <p><strong>How You’ll Find Success</strong></p> <ul> <li>Thrives in Ambiguity: Operates with a zero-to-one startup mentality. You don't need a map; you look at complex, unstructured data chaos and naturally enjoy building foundational AI products and data pipelines from scratch.</li> <li>Bridges Science and Engineering: Fluidly moves between deep applied AI research and robust production engineering, ensuring brilliant theories actually scale in production.</li> <li>Customer-Centric Translator: Enjoys working directly with pilot partners and customers, listening to their unique business pain points, and translating them into technical requirements and concrete industry ontologies.</li> <li>Principled Technical Leader: Takes ownership of the technical vision, setting a high bar for architectural excellence while mentoring and elevating the engineering team around you.</li>

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Company

Qualtrics

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