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Internship

Data Scientist Intern - Seattle

Logo of Qualtrics

Qualtrics

13d ago

🚀 Off-cycle Internship

Seattle

AI generated summary

  • You need strong quantitative skills, experience in data mining and machine learning, proficiency in Python or R and SQL, and excellent communication skills. Attention to detail and professionalism are key.
  • You will design, develop, and analyze big data sources to generate insights, interact with stakeholders, develop software programs, identify meaningful insights, democratize data insights, and lead in basic statistics for product enhancement.

Off-cycle Internship

DataSeattle

Description

  • 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

Requirements

  • 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.

Education requirements

Currently Studying

Area of Responsibilities

Data

Responsibilities

  • 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.

Details

Work type

Full time

Work mode

office

Location

Seattle

Benefits

  • Relocation and 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.