The role requires a data scientist to partner with Product and UX teams, design experiments, conduct analyses, and communicate findings, fostering cross-functional collaboration and supporting product roadmaps.
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 5,000 people across the globe who think that’s work worth doing.
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 5,000 people across the globe who think that’s work worth doing.
Data Science I, Product Data Science
Why We Have This Role
Our product units need data scientists who can become trusted partners to Product and UX teams. They need people who understand the roadmap, ask the right questions before features get built, and design rigorous measurement to prove what's working. This isn't a role where you wait for requests and build dashboards. You'll be embedded with a product unit (CX, EX, or SR), becoming the go-to person for anything involving user behavior, experimentation, or product analytics.
How You’ll Find Success
- Be the first call for product decisions: Within 6 months, Product Managers and Designers will come to you before building features, not after. You'll build trust by delivering excellent work and being a proactive partner.
- Ship high-quality research quickly: You'll learn to move fast without sacrificing rigor. You'll know when an analysis needs causal inference and when a simple dashboard answers the question. You'll communicate findings clearly to non-technical stakeholders.
- Grow rapidly: You'll develop both technical depth (experimental design, causal inference, predictive modeling) and product sense (what questions matter, how to influence decisions). You'll get clear feedback and a path to senior levels.
How You’ll Grow
- Technical Depth: You'll develop expertise in product analytics and metrics, experimental design, causal inference, and predictive modeling.
- Product Sense: You'll learn what questions actually matter for product decisions and how to influence roadmaps with data.
- Career Path: You’ll have the opportunity to advance to more senior levels and grow your career with a leading SaaS company. You'll have regular feedback and clear development goals to get there.
Things You’ll Do
- Own instrumentation and measurement for your product unit: You’ll design event tracking strategies and user journeys. You’ll run golden path analysis to understand how key funnels in our product are behaving and how they can be improved. You’ll partner with engineering to ensure you have the data you need to be successful.
- Run experiments and quasi-experiments: You’ll design A/B tests and quasi-experimental studies to measure the impact of product changes and in-product messaging.
- Answer strategic questions that shape the roadmap: You’ll conduct everything from exploratory analysis to predictive analytics to answer strategic questions shaping the company roadmap.
- Cross-Functional Collaboration: You’ll partner with the leaders of User Research, Analytics and Analytics Engineering to ensure your work integrates with broader data and research strategies. You’ll communicate findings to product and executive leadership with clarity and impact.
What We’re Looking For On Your Resume
- Education & Experience: Master's or PhD in Statistics, Computer Science, Economics, Social Science, Hard Science or related quantitative field. 0-3 years of professional experience in data science, analytics, or research (internships count). Bachelor’s OK with additional relevant experience.
- Technical skills: Strong proficiency in Python or R for data analysis and modeling. Strong SQL skills. Knowledgeable in applied regression analysis, hypothesis testing, probability and predictive modeling. Experience with data visualization and communicating statistical results.
- Strong collaboration skills: Projects that demonstrate an ability to work in groups and build relationships easily, especially in a product development context.
- Strong communications skills: Demonstrated ability to explain complex statistical concepts to non-technical stakeholders. An ability to write well.
- Proactive about learning: Evidence of seeking out feedback and experimenting with new tools, methodologies and problem-solving approaches. Evidence of curiosity about the broader business or product context in which you work.
- Operate independently: Evidence of thriving without clear direction. Evidence of asking clarifying questions, and then figuring out the best approach and executing.
- Care about impact: You want your work to influence real product and business decisions, not just produce interesting analyses. You care about winning
- Nice to have: Experience with or deep knowledge of experimental design (A/B testing) or causal inference. Exposure to product analytics tools like Amplitude, Mixpanel, or Pendo.
What You Should Know About This Team
The PXE Analytics & Data Science Team has 3 specialized pillars: Data Science, Analytics, and Analytics Engineering.
- Data Science focuses on deep research, experimentation, and predictive modeling.
- Analytics focuses on operational reporting and structured insights.
- Analytics Engineering focuses on building reliable datasets and data infrastructure.
You will work alongside a passionate group of experts in Seattle and Mexico City, all dedicated to bringing the power of data to Qualtrics itself.
Our Team’s Favorite Perks and Benefits
- Qualtrics Experience Bonus: A program designed to provide experiences to our employees they might not otherwise have.
- Hybrid Work Model: We gather in the office three days a week (Mondays, Thursdays, and one team day) to collaborate, and work where we want the rest of the week.
- Career Action Planning: Personalized career planning to help you achieve your goals inside and outside Qualtrics.
- Wellness: Comprehensive benefits including a wellness reimbursement and mental health benefits.
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.
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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 Annual Pay Transparency Range
$100,000—$149,000 USD
Top Skills
Python
R
SQL
Qualtrics San Francisco, California, USA Office
San Francisco, CA, United States
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