Staff Data Scientist, PXE Strategic Insights

Qualtrics•Seattle, WA

8d•Hybrid

About The Position

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 microphone 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 5,000 people across the globe who think that’s work worth doing. Staff Data Scientist, PXE Strategic Insights Why We Have This Role Our product and GTM leaders need to understand which usage patterns actually drive business outcomes such as renewal, expansion, and revenue growth. We have product data scientists who help product teams learn fast through experimentation. This role goes deeper: building the models and research portfolio that answers our hardest strategic questions about product-led growth. You'll own the strategic research agenda at the intersection of product usage and business performance. Questions like: What usage stage in what timeframe drives the best renewal rates? Which feature combinations predict outsized platform consumption? What usage patterns separate accounts that expand from those that churn? Your insights will directly shape product roadmap prioritization and GTM strategy. How You’ll 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 you’ll leverage to accelerate insight generation while maintaining statistical rigor. How You’ll Grow Strategic Scope: You'll 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: You'll develop deep expertise in both product analytics and revenue analytics, a rare combination that's highly valued in B2B SaaS companies.

Requirements

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). You've spent significant time working with product usage data and business outcomes.
You've Done This Before: You've built models connecting product behavior to revenue outcomes (renewal, expansion, NRR, churn). You've worked with messy, real-world B2B data across multiple entities (users, accounts, licenses). You've 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.
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: You're 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.

Nice To Haves

Advanced Degree: 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.
You speak both "product" and "revenue" languages fluently.

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.

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
an experience bonus