[Hiring] Data Scientist III @Compassion International

Role Description

This career Data Scientist is responsible for developing complex algorithms using advanced modeling techniques to interpret data, extract insights, and help produce business-driven solutions.

• Works with large data sets and leverages machine learning techniques to inform and advise business decisions.
• Conducts broad scale data science projects and initiatives independently or participates as a team member for major, complex, or international programs.
• Coaches and oversees the work of other specialists.

What will you do?

• Maintains a personal relationship with Jesus Christ and is a consistent witness for Jesus Christ.
• Acts as an advocate to raise awareness of the needs of children and commits to child protection considerations in all decision-making.
• Develops, analyzes, and models operational, program, marketing, or other organizational data to analyze competitive performance.
• Applies and integrates statistical, mathematical, predictive modeling, and business analysis skills to manage complex high volume data.
• Performs exploratory data analysis to understand relationships and opportunities to influence outcomes.
• Translates complex analytical and technical concepts for non-technical team members.
• Collaborates with cross-functional teams across the organization to support data and cloud computing strategies.
• Stays up-to-date on industry and job-related trends and best practices.
• May coach and provide expertise to other professionals and support staff in the Data Science discipline.

Qualifications

• Proven experience operationalizing large backlogs of AI/ML use cases.
• Ability to establish AI best practices, standards, and reusable frameworks.
• Strong background in exploratory data analysis and algorithm selection.
• Demonstrated experience consolidating and rationalizing AI use cases across platforms.
• Deep understanding of MLOps and production ML lifecycle.
• Hands-on experience designing and orchestrating end-to-end AI systems across teams and platforms.
• Proficiency with modern data and AI platforms, including AWS (SageMaker), Snowflake, DataRobot, Salesforce, and enterprise data warehouses.
• Experience implementing Retrieval Augmented Generation (RAG) and context-driven AI systems.

Benefits

• Generous paid time off.
• 10% contribution to a 403(b) retirement fund on top of your salary.
• Excellent healthcare coverage.
• Free short-term professional counseling.
• Spiritual growth opportunities through regular chapel services, prayer groups, and department devotionals.