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Staff Data Scientist: Semantic Substrate Incubation

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QualtricsJobs
Staff Data Scientist: Semantic Substrate Incubation

Staff Data Scientist: Semantic Substrate Incubation

Reposted 6 Hours Ago
Seattle WA USA
In-Office
207K-271K Annually
Expert/Leader
Artificial Intelligence • HR Tech • Information Technology • Software • Business Intelligence
Our mission is to help organizations serve and support customers and employees in proactive personalized ways.
The Role
Lead development of a Semantic Brain: map raw event logs to industry ontologies build concept/identity-anchored graphs design reward extraction and off-policy evaluation deploy agentic LLM orchestration and scalable data pipelines to enable autonomous enterprise decisioning.
Summary Generated by Built In
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. 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 5000 people across the globe who think that’s work worth doing.
 
Staff Data Scientist: Semantic Substrate Incubation 

Why We Have This Role

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.

How You’ll Find Success

  • 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.
  • Bridges Science and Engineering: Fluidly moves between deep applied AI research and robust production engineering ensuring brilliant theories actually scale in production.
  • 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.
  • 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.
  • Rigorous and Evidence-Driven: Rejects guesswork. You lean heavily on simulation validation and off-policy evaluation to ensure AI recommendations are grounded in reality.

How You’ll Grow

  • Pioneer Agentic AI: You will be at the absolute bleeding edge of LLM orchestration and world modeling setting industry standards for how enterprises deploy autonomous agents.
  • Expand Technical Authorship: Refine your voice as an industry thought leader with active support to publish papers write technical books or speak at major global AI conferences.
  • Executive & Strategic Visibility: Shape the foundational AI product roadmap of the company giving you direct influence over strategic business decisions and high-level customer relationships.

Things You’ll Do

  • 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.

What We’re Looking For On Your Resume

  • 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.
  • Modern LLM Orchestration: Direct practical experience building sophisticated applications using frameworks like LangChain LlamaIndex or equivalent agentic workflows.
  • Cloud Architecture: Strong hands-on backend and infrastructure skills utilizing Python and the AWS ecosystem (EC2 Lambda S3 CloudFormation CDK or Terraform).

What You Should Know About This Team

  • We Build From Scratch: We are a true zero-to-one incubation team. If you hate bureaucracy and love rapid prototyping and immediate impact you will thrive here.
  • Unmatched Autonomy: We trust our experts. You will have the freedom to steer the technical direction of the Semantic Substrate without being micromanaged.
  • Collaboration Over Silos: We work fluidly across applied research data engineering and product. No throwing code over the wall—we build together.
  • Obsessed with Ground Truth: 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

  • Dedicated Growth Time: We spend 10% of our time every quarter on individual engineering growth activities research exploration and passion projects.
  • Continuous Learning Stipend: Receive an annual stipend for technical books research papers and subscriptions to keep your skills at the absolute cutting edge.
  • Conference & Publication Support: Fully covered travel and attendance expenses when you are selected to present research or speak at major industry AI conferences.
  • Top-Tier Health & Wellness: Comprehensive global health dental and vision coverage alongside flexible time-off policies to ensure you stay energized.
The Qualtrics Hybrid Work Model: Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays plus one day selected by your organizational leader. These purposeful in-person days in thoughtfully designed offices help us do our best work and harness the power of collaboration and innovation. For the rest of the week work where you want owning the integration of work and life. #hybrid
 
Qualtrics is an equal opportunity employer meaning that all qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability status as a protected veteran or any other protected characteristic.
 
​​​​​​​Applicants in the United States of America have rights under Federal Employment Laws:Family & Medical Leave Act Equal Opportunity Employment Employee Polygraph Protection Act
 
Qualtrics is committed to the inclusion of all qualified individuals. As part of this commitment Qualtrics will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process to perform essential job functions and/or to receive other benefits and privileges of employment please let your Qualtrics contact/recruiter know.
 
Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events behind the scenes stories from the team interview tips hot jobs and more. No spam - we promise! You'll hear from us two times a month max with fresh totally tailored info - so be sure to stay connected as you explore your best role and company fit.

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. 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.

Washington State Base Annual Pay Transparency Range
$206500$271000 USD

Skills Required

  • 10+ years professional data science / AI/ML experience delivering high-impact systems at scale
  • Hands-on experience designing implementing and querying graph databases (AWS Neptune)
  • Proficiency with SPARQL for graph queries
  • Extensive experience with Apache Spark for large-scale data processing (PySpark or Scala)
  • Practical experience building LLM orchestration / agentic workflows (e.g. LangChain LlamaIndex)
  • Strong backend and cloud infrastructure skills in Python and AWS (EC2 Lambda S3) and IaC (CloudFormation CDK or Terraform)
  • Experience with off-policy evaluation action-conditional world models or reward signal extraction for agent training

What the Team is Saying

Saloni
Alexia
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Qualtrics Compensation & Benefits Highlights

  • Healthcare StrengthMedical dental and vision plans are offered with the company paying about 85% of premiums plus telemedicine and chronic‑condition programs. Mental‑health coaching and therapy resources are provided at no cost.
  • Parental & Family SupportFamily‑forming benefits include fertility coverage via Progyny adoption and surrogacy reimbursement up to $10000 and transgender‑inclusive care. Travel and lodging reimbursement is available when covered care requires long‑distance access.
  • Retirement SupportA 401(k) with immediate vesting in a 5% employer match is available alongside HSA contributions and FSA options. Life and disability coverage further support long‑term financial security.

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The Company
HQ: Provo UT
5000 Employees
Year Founded: 2002

What We Do

Qualtrics is trusted by thousands of the world’s best organizations to power exceptional customer and employee experiences that build deep human connections increase customer loyalty boost employee engagement and drive business success. Our advanced AI and specialized Experience Agents™ allow businesses and governments to proactively interact with customers and employees in personalized ways across every channel and touchpoint respond in-the-moment to fix or improve experiences and stay across the latest market trends and opportunities. Our vision as an organization is to improve the human experience.

Why Work With Us

We're a place where strategic risks are encouraged & complex problems get solved together. Where nimble teams are empowered to set aggressive goals & move fast to win. A place that makes you feel safe as your authentic self. Where everyday work results in growth. And most importantly where what you do matters. That's why we work at Qualtrics.

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Employees engage in a combination of remote and on-site work.

Our hybrid work model is elegantly simple: we all gather in the office three days a week; Mondays and Thursdays plus one day selected by your organizational leader.

Typical time on-site: 3 days a week
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