IT Data Scientist

The Church of Jesus Christ of Latter-day SaintsRiverton, UT

About The Position

An IT Data Scientist is a master professional who is fully responsible for advising the appropriate use and application of data science methods as well as overseeing the development and implementation of data science solutions. The Data Scientist provides senior-level leadership on the full spectrum of data science efforts. This role directs and guides the use, development, testing, implementation, and maintenance of data science models, in partnership with internal business intelligence stakeholders and in compliance with technical and architectural standards. This position is a senior technical expert in the application of data science methods to support strategic, operational, and tactical decision making. The person in this role mentors other data scientists and has influence across the organization. This individual works with divine guidance to provide or support technology that furthers the mission of the Church and reflects the eternal impact of the gospel. Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord’s work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings— giving Church members places to worship, teach, learn, and receive sacred ordinances—our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.

Requirements

  • Master professional in data science
  • Senior technical expert in the application of data science methods
  • Ability to support strategic, operational, and tactical decision making
  • Influence across the organization
  • Must be a member of the Church who is worthy of a temple recommend

Responsibilities

  • Advising the appropriate use and application of data science methods
  • Overseeing the development and implementation of data science solutions
  • Providing senior-level leadership on the full spectrum of data science efforts
  • Directing and guiding the use, development, testing, implementation, and maintenance of data science models
  • Mentoring other data scientists
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