Qualtrics

Qualtrics

Staff Data Scientist AI/ML

Seattle, Washington, United States · Staff+ · Full-time

Sponsorship not specified$207k-$271kDetected 8 days ago
PythonScalaAWSTerraformRESTMachine LearningSparkData EngineeringData ScienceLLMsAgentic AIAI OrchestrationProduct ManagementProduct StrategyResearchCollaborationMentoring

About the role

  • 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.
  • Join over 5,000 people across the globe who think that's work worth doing.

Responsibilities

  • 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.
  • Refine your voice as an industry thought leader with active support to publish papers, write technical books, or speak at major global AI conferences.
  • No throwing code over the wall-we build together.

Requirements

  • A Proven Tracker Record in AI/ML: Broad capability delivering high-impact AI systems at scale (typically requires around 10+ years of professional data science experience).
  • Deep Graph Expertise: Hands-on experience designing, implementing, and querying graph databases, with specific, deep technical proficiency in AWS Neptune and SPARQL.
  • Production-Level Data Pipelines: Extensive experience with Apache Spark (PySpark/Scala) for large-scale distributed data processing and ETL optimization on massive datasets.

Nice to have

  • Mondays and Thursdays, plus one day selected by your organizational leader.
  • ​​​​​​​Applicants in the

Skills

  • What You Should Know About This Team

Compensation

  • Washington State Base Annual Pay Transparency Range
  • $206,500 - $271,000 USD

Benefits

  • Takes ownership of the technical vision, setting a high bar for architectural excellence while mentoring and elevating the engineering team around you.
  • Receive an annual stipend for technical books, research papers, and subscriptions to keep your skills at the absolute cutting edge.
  • Comprehensive global health, dental, and vision coverage, alongside flexible time-off policies to ensure you stay energized.
  • Family & Medical Leave Act,
  • A sign-on bonus and restricted stock units may be included in an employment offer.
  • Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus.
  • For a detailed look at our benefits, visit Qualtrics US Benefits.
  • From retail to government to healthcare, we're on a mission to bring humanity, connection, and empathy back to business.
  • For full-time positions, this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience.

Company info

  • 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.
  • Map fragmented data to human-readable terms by leading the discovery and mapping of raw event logs to Vertical Ontologies (Industry Knowledge Packs).
  • Accelerate AI accuracy by 60% by designing and deploying a Concept Graph that anchors the substrate, utilizing verified profile IDs instead of session data for memory.
  • Train autonomous agents efficiently by building the logic for Reward Signal Extraction and Context-Aware actioning to infer KPIs directly from interaction logs, avoiding traditional delayed-reward bottlenecks.
  • Reduce agentic action risk by 40% by utilizing Off-Policy Evaluation (OPE) and action-conditional world models to simulate high-value scenarios and ground recommendations.
  • Avoid the "Services Trap" and enable scale by engineering automated systems that allow 80% of the team's context mapping to be executed seamlessly without manual intervention.
  • We aren't building wrappers or hype.
  • We are focused on solving the deepest technical challenges in the enterprise AI space with academic rigor.
  • Our Team's Favorite Perks and Benefits
  • 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.
  • 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.
  • At Semantic Substrate Incubation, we are drowning in data but starving for meaning.

Equal opportunity

  • Equal Opportunity Employment, Employee Polygraph Protection Act

This listing is sourced directly from Qualtrics's careers page and normalized into a canonical job model.