Data Scientist Intern - People & Culture

US - Remote Ref #12798 01-Aug-2022

Job Description

One team. Global challenges. Infinite opportunities. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We’re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.

Job Responsibilities

We are seeking a People Analytics Intern to join our People & Culture Analytics team for a summer internship. You will be an integral part of the People & Culture Analytics team helping us to complete our vision to:

  • Deliver solutions that scale and are optimized for customer needs
  • Empower and enable others by building individual and organizational data analytics capability
  • Support the creation of embedded analytics at every point in the employee lifecycle
  • Provide consulting & advisory services on the measurement of human capital
In this role you will:

  • Get an opportunity to dive into people related data, conduct research and surface insights that will aid in data driven decision making
  • Conduct analyses on vast amounts of data to ensure an accurate understanding of the current state of our organization and communicate these findings clearly to our internal partners
  • Apply statistical techniques to model internal behavior and trends to identify potential opportunities for growth and improvement
  • Build and test statistical models (both predictive and descriptive) such as network analysis modeling, retention modeling, survey interpretation and exploration, etc.
  • Support the design of dashboards and metrics as needed
  • Automate these results to ensure consistency and repeatability while expanding our ability to understand our organization and scale insights to a variety of collaborators

 Requirements

  • Currently pursuing a bachelor’s degree or higher in Sociology, Social Psychology, Organizational Psychology, Economics, Data Science, Data Analytics, Workforce Development, Business Analytics, Human Resource Analytics or related field
  • Demonstrated experience with project management and collaboration across multiple stakeholders
  • Data analytics skills, including the ability to perform basic statistical techniques (e.g., correlation, regression, factor analysis, T-test, ANOVA) and research design experience
  • Experience with data visualization tools
  • Proficient in using Microsoft Office tools
  • Proven to be laser focused with attention to detail
  • Able to balance quantitative and qualitative methods to make data-informed recommendations
  • Self-starter able to manage work and time in a remote environment
  • Able to commit to a 10-12 week internship
Preferences

  • Master’s degree or higher in Organizational Psychology, Data Science, Data Analytics, or Business Analytics
  • Experience building and troubleshooting PowerBI workspaces and dashboards
  • Statistical experience in HR data is preferred preferably with Python or R
  • Experience building machine learning algorithms such as GLMs, C5.0/CART, Random Forests, Gradient Boosting, Cluster Analysis, Text Mining
  • Understanding of HR business practices and HCM tools, including Workday and its reporting capabilities
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Additional Requirements and Information

Minimum Education
High School Diploma or GED
Years of Experience
0-2 years
Travel
Up to 10%
Citizenship
US Citizenship or Permanent Resident Status required
Worker Classification
Intern

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Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic.

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