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Data Science Intern

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

Average salary estimate

$57500 / YEARLY (est.)
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$43000K
$72000K

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What You Should Know About Data Science Intern, Qualtrics

Are you ready to dive into the world of data and make a real impact? At Qualtrics, we’re looking for a passionate Data Science Intern to join our Products, eXperience, and Engineering (PXE) Analytics & Data Science Team in Seattle, Washington! This is not just an internship; it's your opportunity to explore how data can drive exceptional experiences for our clients. As a key player in a close-knit team, you will utilize your analytic skills to turn various data sources, like customer feedback and product usage, into compelling insights that improve our own products. We believe in a culture of curiosity, innovation, and collaboration, so your ideas and findings will directly influence how we build and enhance our XM product line. With your proficiency in Python or R, and a strong grounding in statistics, you’ll work closely with diverse stakeholders, helping to identify critical questions and testing hypotheses through data analysis. This role offers a plethora of growth opportunities—from learning advanced data manipulation techniques to developing predictive models that reveal the heart of customer experiences. So if you are eager to learn, grow, and help shape the data-driven future of Qualtrics, this internship could be the perfect fit for you!

Frequently Asked Questions (FAQs) for Data Science Intern Role at Qualtrics
What are the responsibilities of a Data Science Intern at Qualtrics?

As a Data Science Intern at Qualtrics, your primary responsibilities include analyzing diverse datasets to drive product improvements, collaborating with cross-functional teams to define analytics needs, and creating visualizations to communicate insights effectively. You will use your quantitative skill set to work with big data, develop predictive models, and assist teams in statistical analysis, making your contributions critical to shaping our product strategies.

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What qualifications do I need for the Data Science Intern position at Qualtrics?

To qualify for the Data Science Intern role at Qualtrics, you should be pursuing a Master’s Degree in a quantitative field such as Data Science or Business Analytics. A strong foundation in statistics, experience in data analysis, and proficiency in programming languages such as Python or R are essential. Previous experience in analytics or a related field will also be a plus, helping you stand out as a candidate.

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What kind of projects will I work on as a Data Science Intern at Qualtrics?

As a Data Science Intern at Qualtrics, you'll work on diverse projects that revolve around analyzing customer feedback, improving product features, and creating data visualizations. You will leverage various data sources to derive actionable insights that influence product strategy, and you may also develop tools to help democratize data insights across the organization, contributing significantly to our success.

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What professional development opportunities does Qualtrics offer for Data Science Interns?

At Qualtrics, Data Science Interns can expect to engage in a wealth of professional development opportunities. From being assigned a mentor to participating in business-specific learning sessions, you will have access to various resources to help you grow your technical skills and develop your career further. Additionally, executive chats and networking events provide chances to learn from experienced team members and leaders.

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What is the work environment like for a Data Science Intern at Qualtrics?

The work environment for a Data Science Intern at Qualtrics is dynamic and collaborative. With our hybrid work model, you'll have the flexibility to work both in the office and remotely, allowing for a balance between focused work and in-person collaboration. The culture emphasizes innovation, teamwork, and continuous improvement, ensuring you feel supported and engaged throughout your internship.

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Common Interview Questions for Data Science Intern
What attracted you to the Data Science Intern position at Qualtrics?

In your response, focus on Qualtrics’ reputation for innovation in Experience Management and your eagerness to work in a data-rich environment that fosters growth and collaboration. Mention specific aspects of their company culture or product line that excite you about contributing your skills and learning more in this domain.

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Can you explain a data analysis project you've worked on in the past?

When discussing a past project, highlight the problem you aimed to solve, the data sources you used, the methods and tools applied for analysis, and the insights you gathered. This showcases your analytical skills and your ability to communicate complex findings effectively.

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What data-related tools and technologies are you proficient in?

It's essential to list the tools you are familiar with, including Python, R, SQL, and data visualization tools like Tableau. Be sure to explain your level of expertise and how you have used these tools in your academic projects or previous roles.

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How do you handle incomplete or messy data?

Your answer should demonstrate your problem-solving abilities. Discuss techniques such as data cleansing, handling missing values, and implementing strategies to maintain data integrity. Providing an example from your experience can also illustrate your capacity to navigate these challenges.

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Describe your experience with statistical analysis.

Explain your background in statistics, including any coursework or projects that involved using statistical methods. Discuss specific techniques you are comfortable with, such as regression analysis or hypothesis testing, and how you’ve applied these methods in practical scenarios.

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What is your understanding of Experience Management?

Share your knowledge of the Experience Management category, emphasizing how data-driven insights improve customer experiences and business outcomes. Articulate specific examples or trends in the industry that illustrate the growing importance of addressing customer needs through experience management.

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How do you prioritize tasks when working on multiple projects?

Describe your approach to time management and prioritization. You might explain how you assess project urgency and importance, possibly using tools like project management software to keep clear track of deadlines and expectations, showcasing your organizational skills.

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Can you give an example of how you’ve worked in a team setting?

Reflect on a collaborative project where you contributed as part of a team. Discuss your role, how you communicated with team members, and how you navigated challenges, illustrating your teamwork and interpersonal skills beneficial for the Data Science Intern position.

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What are your long-term career goals in data science?

In your response, convey your passion for data and desire to grow as a data scientist. Outline your aspirations, whether they involve advancing into specialized areas like machine learning, or leadership roles, showing your ambition and commitment to the field.

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Why should we choose you for the Data Science Intern position at Qualtrics?

Summarize your key qualities, emphasizing your analytical skills, willingness to learn, and passion for leveraging data to enhance customer experiences. Reflect on how your background aligns with Qualtrics' goals, making a convincing case for why you would be a strong addition to their team.

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At Qualtrics, our mission is to build technology that closes experience gaps.

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Internship, hybrid
DATE POSTED
April 18, 2025

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