Anti-Trafficking Data Science Volunteer

LOVE JUSTICE INTERNATIONAL • , NE

4d • Remote

About The Position

Love Justice International (LJI) is a Christian nonprofit whose mission is to drive the downfall of slavery by disrupting human trafficking in transit. Through transit monitoring at transportation hubs, LJI teams identify and intercept potential trafficking victims and gather information that can assist law enforcement in arresting traffickers and disrupting trafficking networks. LJI has intercepted more than 115,000 individuals, resulting in more than 2,300 arrests. The organization also operates family homes and a school in South Asia for formerly orphaned and abandoned children.

The Data Science Volunteer will join LJI’s Impact Engineering Team, which develops and improves practical, data-driven models and processes to support frontline staff and maximize measurable impact. The volunteer will create data science models and conduct quantitative analyses supporting anti-trafficking operations, child-focused programs, and organizational learning. Work may also include analyzing educational and well-being data to support children in LJI’s care. The role’s analyses are intended to inform real-world action, improve interventions, and help the organization maximize impact while minimizing harm through rigorous, iterative evaluation.

This is an unpaid, remote volunteer opportunity with a flexible duration and a minimum commitment of 100 hours. The volunteer reports to the Lead Data Scientist. Work takes place within LJI’s Christian culture and mission, which emphasizes faith, prayer, and obedience to Christ.

Requirements

• Mature Christian faith and agreement with LJI’s Global Value to “Abide in Christ.”
• Knowledge, understanding, and agreement with how the Christian Gospel ministers to “the least of these” (Matthew 25:40) and guides LJI’s mission.
• Agreement with LJI’s Core Value “Be the Kingdom” in mission execution and personal conduct.
• Acknowledgment of LJI’s Statement of Faith.
• Passion for justice and advocacy on behalf of vulnerable populations.
• Excellent oral and written communication skills.
• Strong analytical and problem-solving skills, including the ability to assess complex issues and find systematic solutions.
• At least a bachelor's degree in data science, mathematics, statistics, economics, or a related field; graduate students are welcome.
• Proficiency in R or Python and relevant data science tools.
• Demonstrated ability to use AI tools to improve work through drafting, research, analysis, or workflow redesign, while verifying outputs, catching errors, and recognizing when AI is not appropriate; use must comply with LJI’s AI Tool Usage Policy.

Nice To Haves

• Prior experience in data analytics, statistical modeling, or machine learning.
• Familiarity with data science tools such as pandas, tidyverse, scikit-learn, or ggplot2.

Responsibilities

• Use data, statistical analysis, and modeling to generate insights that advance anti-trafficking efforts, child-focused programs in South Asia, and organizational learning.
• Apply analytical findings to real-world action, including informing anti-trafficking operations and investigations, improving program design, and strengthening accountability.
• Develop and maintain objective measures of impact, including assessing child well-being and benchmarking outcomes against relevant populations where appropriate.
• Design, build, and continuously improve predictive assessments that support consistent and effective hiring across a range of roles.
• Establish and document reproducible analytical workflows and standards.
• Contribute to ongoing improvements in organizational data systems, metrics, and data quality.

Benefits

• Opportunity to contribute to anti-trafficking work and programs supporting children in South Asia.
• Remote volunteer opportunity with flexible duration.

What This Job Offers

• Career Level: Entry Level