Data Scientist III

Compassion International

1d • Remote

About The Position

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. The specialist further works with large data sets and will leverage machine learning techniques to inform and advise business decisions. At this career level, the incumbent generally conducts broad scale data science projects and initiatives independently or participates as a team member for major, complex, or international programs. He or she may coach and oversee the work of other specialists. What will you do? Maintains a personal relationship with Jesus Christ. Is a consistent witness for Jesus Christ, maintains a courteous, Christ-like attitude in dealing with people within and outside of Compassion, and faithfully upholds Compassion’s ministry in prayer. Acts as an advocate to raise the awareness of the needs of children. Understands Christ’s mandate to protect children. Commits to and prioritizes child protection considerations in all decision-making, tasks and activities across the ministry. Abides by all behavioral expectations in Compassion’s Statement of Commitment to Child Protection and Code of Conduct. Reports any concerns of abuse, neglect or exploitation of children through Compassion’s internal reporting process and appropriately supports responses to incidents if they occur.

Requirements

• Proven experience operationalizing large backlogs of AI/ML use cases
• Ability to establish AI best practices, standards, and reusable frameworks, enabling internal data scientists and analysts to deliver consistently
• Strong background in exploratory data analysis and algorithm selection, with a focus on prioritizing measurable financial impact and business value
• Demonstrated experience consolidating and rationalizing AI use cases across platforms, including savings calculations and alignment to enterprise technology strategy
• Deep understanding of MLOps and production ML lifecycle, including model deployment, monitoring, governance, and integration with mature DevOps processes
• Hands-on experience designing and orchestrating end-to-end AI systems across teams and platforms, not just isolated models or prompts
• 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 where prompts are augmented or replaced by governed data sources

Responsibilities

• Develops, analyzes, and models operational, program, marketing, or other organizational data to analyze the competitive performance of Compassion's business segments.
• Develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets.
• Further evaluates potential operational changes, and designs new approaches and data methodologies accordingly.
• Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources.
• Further tests and troubleshoots internal advanced analytics tools and data programs.
• Works closely with vendors to manage maintenance of data modeling tools.
• Performs exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross-channel outcomes.
• Further develops proofs of concept to verify ideas and closes the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients.
• Translates complex analytical and technical concepts for non-technical team members to enable understanding and drive informed business decisions.
• Collaborates with cross-functional teams across the organization to support data and cloud computing strategies.
• Stay up-to-date on industry and job-related trends and best practices, including reading relevant publications, articles, blogs, etc.
• May coach and provide expertise to other professionals and support staff in the Data Science discipline.

Benefits

• Receive 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, and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed