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.
We value early, mid and late-career candidates and encourage all applicants with the posted skills and abilities to apply.
Execute large scale models using advanced analytical, modeling, and machine learning techniques, including, but not limited to, Logistics Regression, Linear Models, Conjoint Analysis, Spatial Models, Time-series models
As part of the data intelligence team, create and support a cloud-based data science solution
Create scalable, efficient, automated processes for data analysis and machine learning models
Work closely with data engineers and product managers to turn data analysis into actionable algorithms
Champion a data-driven culture and help develop best-in-class data science capabilities
Create standards and procedures for data science teams
Provide significant direction for strategic plans and product roadmaps
Inform the development of requirements related to the creation, tracking, collecting, and accessing data
Analyze and protect data, including troubleshooting
Follow data science best practices
Fulfill technical lead role for data science solutions
Respond to escalated incidents and engage vendors as necessary
Conduct general research and evaluate emerging trends
Leverage skills, knowledge, and general professional experience to aid and mentor teammates
Preferred:
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