Data Scientist - Family History Department

Data Scientist 2 - Family History Department

Lehi, UT, United States (No Local)

To meet the needs of the Church, we seek to build teams that represent the diverse perspectives, broad life experiences and backgrounds of our global Church membership. With that in mind, we encourage all qualified applicants to apply.

The Family History Department (Family Search International) seeks to enable inspiring journeys that bring joy to all people as they discover, gather, and connect their family—past, present, and future.

The Business Intelligence team empowers leaders across Family Search to develop strategy and make data-informed decisions. This Data Scientist role will play a pivotal part in automating evaluations of digitized image quality and indexed records collected over many years, helping surface opportunities for improvement. The position focuses on building scalable analytical and machine-learning solutions that assess image readability, index accuracy, and process quality—ultimately guiding innovation, prioritizing investment, and ensuring long-term data reliability.

This is a full-time, benefitted position. It is not a remote role
; candidates must be available to work onsite at our Lehi, Utah office 4–5 days per week.

• Work with structured and unstructured data from multiple sources to build strategic data models and machine-learning solutions that deepen insights and address business problems.
• Develop machine-learning models or analytical processes to evaluate large volumes of genealogical record data based on business-defined quality standards, categorize results, and recommend the scope and scale of remediation efforts.
• Communicate, interpret, and visualize analytical findings for department leadership.
• Define data sources, data capture methods, and data flow requirements.
• Ensure usability, statistical validity, and proper modeling/structuring of data, including aggregation logic.
• Deliver data where needed for predictive modeling, machine-learning algorithms, forecasting, and statistical analyses.
• Create actionable reporting and dashboards based on business requirements, enabling leaders to make informed decisions.

• BS/BA degree in data science, mathematics, statistics, computer science, or a related field.
• Minimum 5 years of experience as a Data Scientist or in a closely related role.
• Intermediate proficiency with Python, R, and SQL; familiarity with Scala or Java preferred.
• Experience with business intelligence tools (e.g., Tableau, Power BI) and modern data frameworks.
• Understanding of machine learning techniques and operations research principles.
• Ability to work with minimal to moderate oversight while meeting established deadlines.
• Strong problem solving and debugging skills, including designing and implementing solutions to complex technical issues.
• Ability to work effectively both independently and within a collaborative team environment.
• Demonstrated curiosity and a commitment to applying scientific methodology to learning and discovery.

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.

Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.

Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.