Qualtrics

1 month ago

Staff Data Scientist AI/ML

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Lead data scientist role bridging advanced AI research and production engineering to build a foundational AI product stack. Architect an Identity-Anchored World Model, design scalable data pipelines and a semantic graph to help LLMs understand enterprise ideas, collaborate with researchers and engineers, translate business needs into technical ontologies, and mentor the team to ship robust AI systems.

Location: Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•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.

Pay and Benefits

Perks:Health InsuranceDentalVision401kEquityPaid LeaveWellness StipendRemote Work

Key Requirements

•10+ years of professional data science experience with AI/ML systems
•Deep graph database expertise (e.g., AWS Neptune, SPARQL)
•Production-level data pipelines experience (e.g., Apache Spark)
•Modern LLM orchestration experience (e.g., LangChain, LlamaIndex)
•Cloud/backend infrastructure skills with Python and AWS

Experience:10+ yearsAI/MLEnterprise AIGraph databasesProduction engineering

Skills:PythonSparkScalaLlmLangchainLlamaindexAwsNeptuneSparqlPysparkCloudformationCdkTerraformKubernetesDocker

Languages:English

Tech Stack:PythonAWSEC2LambdaS3CloudFormationCDKTerraformSparkPySparkScalaLangChainLlamaIndexAWS NeptuneSPARQLKubernetesDocker

Company Brief

Qualtrics

Provides an experience management (XM) platform that helps organizations collect, analyze, and act on customer, employee, product, and brand experience data to improve business outcomes across functions.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Provo, United States

Founded: 2002

Glassdoor: 3.9

Website LinkedIn

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Qualtrics

1 month ago

Staff Data Scientist AI/ML

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•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.

Pay and Benefits

Perks:Health InsuranceDentalVision401kEquityPaid LeaveWellness StipendRemote Work

Key Requirements

•10+ years of professional data science experience with AI/ML systems
•Deep graph database expertise (e.g., AWS Neptune, SPARQL)
•Production-level data pipelines experience (e.g., Apache Spark)
•Modern LLM orchestration experience (e.g., LangChain, LlamaIndex)
•Cloud/backend infrastructure skills with Python and AWS

Experience:10+ yearsAI/MLEnterprise AIGraph databasesProduction engineering

Skills:PythonSparkScalaLlmLangchainLlamaindexAwsNeptuneSparqlPysparkCloudformationCdkTerraformKubernetesDocker

Languages:English

Tech Stack:PythonAWSEC2LambdaS3CloudFormationCDKTerraformSparkPySparkScalaLangChainLlamaIndexAWS NeptuneSPARQLKubernetesDocker

Company Brief

Qualtrics

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Provo, United States

Founded: 2002

Glassdoor: 3.9

Website LinkedIn