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Job Description

At Qualtrics, we create software the world’s best brands use to deliver exceptional 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.

Data Science Intern

Why We Have This Role

As a Data Scientist on the Products, eXperience, and Engineering (PXE) Analytics & Data Science Team, you will bring the power of our data to Qualtrics itself. You will be part of the core analytics and data science team, helping to measure our product and analyze our own product data to build and grow a deeply impactful XM product line and platform.

How You'll Find Success

Your analytics will strategically advance how Qualtrics ideates, builds, measures, and improves its products.
You will use your quantitative skills to analyze disparate product clickstream, state and customer feedback data sources (e.g., NPS, Social Media, Call/Case Volumes, Product feedback) to present comprehensive views of customer and product experience.
You will work across the data science stack building tools, visualizations, and predictive models, looking for opportunities to improve the experience of using XM.
Exhibit a strong intellectual curiosity, driving innovative research and data exploration
Be an internal leader in basic statistics, including descriptive statistics, correlation, and regression, and help product teams develop statistical tools for our customers.

How You'll Grow

Design, develop, and program methods, processes, and systems to consolidate and analyze structured and unstructured, diverse “big data” sources to generate actionable insights and solutions to support our own programs and XM platform product enhancement.
Interacts with diverse stakeholders, such as Product Leadership, Program Management, Engineering, Design, and User Research, to identify questions and issues for data analysis and experiments.
Develops and codes software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments.
Develops tools and datasets to democratize insights from our product data across the organization.

Things You'll Do

You are a big data junkie, and you tell stories with big data and can demonstrate how you have used data to change thoughts about how things work.
You love growing technically and experimenting with new data science tools and methodologies.
You care about understanding the customer and want to impact better customer experiences that align strategically with business goals.
You want to join a dynamic, rapidly scaling organization.
You know how to mine data and turn it into measurable outputs that push understanding and action.

What We're Looking For On Your Resume

Pursuing a Master’s Degree in Quantitative Subject (including Business Analytics, Data Analytics, or Data Science), with a BA/BS in Economics, Finance, Management, Marketing, Physics, Math, Statistics, Social Science or any related field.
1+ years work experience, ideally including experience leading complex, cross-functional projects in analytics or related fields (including Finance, Operations, Management Consulting with a quantitative emphasis or Software Engineering).
Strong quantitative analytical skills; with competence in techniques spanning supervised and unsupervised learning and descriptive and inferential statistics.
Fluent in either Python or R, able to query data using SQL, has experience working with cloud based computing platforms and big data tools.
Experience in data mining, advanced data manipulation, machine learning and statistical analysis.
Experience with data visualization and communication projects using software like Tableau or Amplitude.
Strong verbal and written communication skills to present analysis and insights including trends and opportunities to stakeholders and the business.
High standard of detail, excellence, professionalism, and role model behavior.

What You Should Know About This Team

We love turning data into insights or multiplying the impact of data across the company by developing research, analysis or analytics products. We thrive when people take action on the insights we provide or enable. We understand the importance of mining our data to provide input to our case studies and suggestions for improvements to our products. We work effectively cross-team and understand the importance of building strong relationships and earning trust and credibility. Our team has successfully helped this organization harness the power to tell our stories with our data.

Our Team's Favorite Perks And Benefits

Financial support for housing.
ExeQtive Chats connect you with our executive team through Q&As and discussions about their career journeys.
You'll have opportunities to develop professional skills & learn more about career opportunities though business-specific learning sessions.
You'll be assigned a mentor on day one. They'll be a great resource to get advice or direction on your project as well as your personal development and career path.
Seattle employees enjoy commuter benefits, weekday catered lunches, and access to the Qualtrics Tower fitness center.

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.

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.

Not finding a role that’s the right fit for now? Qualtrics Insiders is the one-stop shop for all things Qualtrics Life. Sign up for exclusive access to content created with you in mind and get the scoop on what we have going on at Qualtrics - upcoming events, behind the scenes stories from the team, interview tips, hot jobs, and more. No spam - we promise! You'll hear from us two times a month max with fresh, totally tailored info - so be sure to stay connected as you explore your best role and company fit.

For full-time positions, this pay range is for base per year; however, base pay offered 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, in addition to a range of medical, financial, and other benefits, based on eligibility criteria.

Washington State Annual Pay Transparency Range

$43,000—$72,000 USD

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