Qualtrics · 8 hours ago
Staff Data Scientist, PXE Strategic Insights
Seattle, Washington, United States
Full-time
Hybrid
Lead/Staff
$185K/yr - $266K/yr
8+ years expQualtrics is a leading company in Experience Management, serving over 18K clients globally. The Staff Data Scientist role focuses on owning the strategic research agenda that connects product usage patterns to business outcomes, influencing product roadmap and go-to-market strategies through data-driven insights.
ConsumerData IntegrationMarket ResearchSaaS
Responsibilities
Own the Strategic Research Agenda: Build and maintain a portfolio of research initiatives investigating usage patterns that drive business outcomes. Navigate ambiguous or competing executive asks and synthesize them into clear research plans. Define what 'good enough' looks like for each question, balancing rigor with actionability
Model Usage to Business Outcome Relationships: Develop predictive models for renewal, expansion, and NRR based on product usage patterns. Quantify the business impact of usage improvements (e.g., 'reaching X stage in Y days improves renewal odds by Z%')
Evaluate GTM Plays and Product Investments: Use casual inference methods to assess whether customer success plays or marketing campaigns are having their intended effects on usage and outcomes. Help product leaders understand the ROI of investments in specific customer journeys or features
Translate Complex Findings into Executive Narratives: Create compelling presentations that connect statistical findings to business strategy. Write clear, actionable recommendations that non-technical stakeholders can act on. Present confidently to senior leadership across Product, GTM, and executive teams
Collaborate Across the Data Organization: Partner with Analytics Engineering to access and shape foundational datasets. Work with product data scientists to understand product instrumentation and context. Contribute methodological expertise to the broader team's capabilities
Qualification
Required
8+ years in data science or analytics roles, with strong experience in B2B SaaS environments (or fast-paced consulting/finance with B2B software exposure)
Significant time working with product usage data and business outcomes
Built models connecting product behavior to revenue outcomes (renewal, expansion, NRR, churn)
Worked with messy, real-world B2B data across multiple entities (users, accounts, licenses)
Presented findings to executives that influenced product or GTM strategy
Strong proficiency in predictive modeling for business outcomes (regression, survival analysis)
Applied understanding of causal inference methods (difference-in-differences, regression discontinuity)
Skilled at feature engineering from behavioral data and interpreting model outputs for business insights (feature importance, effect sizes, interaction effects)
Expert in SQL for behavioral analysis (event streams, cohort analysis, user journeys)
Strong Python skills for modeling and data manipulation (pandas, scikit-learn, statsmodels)
Comfortable with product analytics data structures (event-based data, user properties, cohorts)
Familiar with modern AI-assisted tools and interested in leveraging them for productivity
Deep understanding of B2B SaaS business models (ARR, NRR, expansion, renewal mechanics)
Experience navigating account-level vs. user-level behavior, multiple stakeholders, and long customer journeys
Exceptional written and verbal communication skills with executive presence
Proven ability to translate complex statistical findings into strategic recommendations
Track record of influencing product or GTM strategy through data insights
Comfortable presenting to senior leadership and defending your methodology
Thrive when given ambiguous questions from multiple stakeholders and can synthesize them into coherent research plans
Define study design and 'definition of done' for strategic questions
Balance stakeholder needs with analytical rigor and know when to push back constructively
Excited about how AI is transforming data science work and actively experiment with new tools and approaches
Understand the opportunity AI creates for data scientists to focus on higher-value strategic work while automating routine tasks
Can articulate thoughtful views on where AI helps vs. where human judgment remains critical
Preferred
Master's or PhD in Statistics, Economics, Computer Science, Data Science or related quantitative field preferred
Strong fundamentals in statistical inference and probability theory are more important than knowing every technique
Benefits
Qualtrics Experience Bonus: Experiences you might not otherwise have
Hybrid Work Model: 3 days/week in Seattle office (Mon/Tue/Thu) for collaboration
Career Action Planning: Personalized career planning inside and outside Qualtrics
Wellness: Comprehensive benefits including wellness reimbursement and mental health support
Medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, mental health benefits, and an experience bonus.
Company
Qualtrics
Qualtrics is a single system of record for all experience data, managing customer, product, employee, and brand experiences on one platform.
5001-10000 employees
H1B Sponsorship
Qualtrics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (99)
2024 (61)
2023 (53)
2022 (111)
2021 (86)
2020 (52)
Funding
Current Stage
Public CompanyTotal Funding
$1.4B2023-06-28Private Equity
2023-06-28Debt Financing· $1B
2023-03-12Acquired
Leadership Team
Brian Stucki
President & COO
JoCee Porter
Software Engineer
Recent News
Fierce Healthcare
2025-12-22
Company data provided by crunchbase