Staff Data Scientist, PXE Strategic Insights

Why We Have This Role

How Youll Find Success

• Strategic Research Drives Decisions: Your models and insights are cited in product roadmap discussions GTM strategy sessions and executive reviews. Leaders say the data shows... and reference your work.
• Cross-Functional Influence: Product and GTM stakeholders seek you out for partnership on strategic questions. You translate complex analyses into clear recommendations that drive action.
• Research Portfolio Management: You maintain a portfolio of 2-3 concurrent research initiatives balancing quick wins with deeper multi-quarter investigations. You navigate competing stakeholder asks and synthesize them into coherent research plans.
• Methodological Leadership: You raise the bar for how we think about usage-to-outcome modeling. The team learns from your approaches to causal inference predictive modeling and working with messy behavioral data.
• AI-First Innovation: Qualtrics is investing in its data science and AI tool stack for our product innovation which youll leverage to accelerate insight generation while maintaining statistical rigor.

How Youll Grow

• Strategic Scope: Youll own research that influences company-level strategy giving you visibility with Product and GTM leadership and exposure to board-level discussions.
• Technical Leadership Track: This role positions you for either technical leadership (principal data scientist) or people leadership (manager/director) based on your interests. The soft skills required here including stakeholder management ambiguity navigation executive communication are foundational for either path.
• Cross-Functional Fluency: Youll develop deep expertise in both product analytics and revenue analytics a rare combination thats highly valued in B2B SaaS companies.

Things Youll Do

• 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 teams capabilities.

What Were Looking For On Your Resume

• Experience: 8 years in data science or analytics roles with strong experience in B2B SaaS environments (or fast-paced consulting/finance with B2B software exposure). Youve spent significant time working with product usage data and business outcomes.
• Youve Done This Before: Youve built models connecting product behavior to revenue outcomes (renewal expansion NRR churn). Youve worked with messy real-world B2B data across multiple entities (users accounts licenses). Youve presented findings to executives that influenced product or GTM strategy.
• Modeling Expertise: 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).You know when fancy methods matter and when simpler approaches are more effective.
• Relevant Data Skills: 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.
• B2B SaaS Fluency: 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. You speak both product and revenue languages fluently.
• Communication & Influence: 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.
• Navigating Ambiguity: You thrive when given ambiguous questions from multiple stakeholders and can synthesize them into coherent research plans. You define study design and definition of done for strategic questions. You balance stakeholder needs with analytical rigor and know when to push back constructively.
• AI-First Mindset: Youre excited about how AI is transforming data science work and actively experiment with new tools and approaches. You understand the opportunity AI creates for data scientists to focus on higher-value strategic work while automating routine tasks. You can articulate thoughtful views on where AI helps vs. where human judgment remains critical.
• Advanced Degree: Masters 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.

What You Should Know About This Team

Our Teams Favorite Perks and 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