Career Development Data Scientist

The Church of Jesus Christ of Latter-day Saints

Data Scientist at BYU-Pathway Worldwide, working with data to provide insights and support career development. Collaborating with directors to create analytical models and reports.

Posted 5/5/2026full-time🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

JavaPythonScalaSQLTableau

About the role

Key responsibilities & impact

Work with both structured and unstructured data from multiple sources and provide strategic data models using machine learning algorithms to deepen insights and address business problems.
Defining what the data is, where it is coming from, how it will be captured, and how it will be received
Address usability, data modeling & structuring, aggregation, and statistical validity
Channeling the data to where it is needed, for predictive/statistical modeling, machine learning algorithms, and forecasting
Using business requirements to tell the story, developing dashboards & reports that are actionable and measurable
Audience access, viewing including how the data will be received, communications, instruction on data use
Data that enables business leaders to make informed decisions

Requirements

What you’ll need

BS/BA Degree in data science, mathematics, statistics, computer science, or a related field
Minimum 5 years performing in a Data Scientist or related role.
Intermediate skill using R, SQL and Python; familiarity with Scala, Java is an asset
Experience using business intelligence tools (e.g. Tableau) and data frameworks
Understanding of machine-learning and operations research
Works with minimal to moderate oversight and meets established deadlines
Delivers defined projects with regular oversight
Problem solving, debugging/troubleshooting and the designing and implementation of solutions to complex technical issues
Thrives in both a team environment and as an individual contributor
Inherent curiosity while applying scientific methodology to learning and discovery
Effective Data Visualization and teaching
Prefer Data Analytics, Data Science or AI/Machine Learning Certification

Benefits

Comp & perks

Hybrid schedule
Standard hours: Monday–Friday, 8:00 a.m. – 5:00 p.m.
Occasional evenings and weekends for global coordination

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data modelingmachine learningRSQLPythonScalaJavadata visualizationstatistical analysispredictive modeling

Soft Skills

problem solvingdebuggingcuriosityteam collaborationindependent workcommunicationinstructionproject managementcritical thinkingadaptability

Certifications

Data Analytics CertificationData Science CertificationAI/Machine Learning Certification