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Data Science Intern

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Job Location drjobs

Seattle, WA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

At Qualtrics we create software the worlds best brands use to deliver exceptional experiences build highperforming 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 closeknit highfunctioning teams with an unwavering dedication to serving our customers.

When you join one of our teams youll be part of a nimble group thats 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 wont have to look to find growth opportunities ready or not theyll find you. From retail to government to healthcare were on a mission to bring humanity connection and empathy back to business. Join over 5000 people across the globe who think thats 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 Youll 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 Youll 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 Youll Do

  • You are a big data 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 Were Looking For On Your Resume

  • Pursuing a Masters 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 crossfunctional 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 crossteam 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 Teams 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.
  • Youll have opportunities to develop professional skills & learn more about career opportunities though businessspecific learning sessions.
  • Youll be assigned a mentor on day one. Theyll 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 inperson 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 ActEqual Opportunity EmploymentEmployee 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 thats the right fit for now Qualtrics Insiders is the onestop 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! Youll 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.


Required Experience:

Intern

Employment Type

Intern

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