Data Scientist Intern - Seattle

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 6,000 people across the globe who think that’s work worth doing.

 

Data Science Intern - Seattle, Washington

 

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.

 

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.
• Be an internal leader in basic statistics, including descriptive statistics, correlation, and regression, and help product teams develop statistical tools for our customers.

 

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 BA/BS in Economics, Finance, Management, Marketing, Physics, Math, Statistics, Social Science, or any related field.
• 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 int