Remote - USA, United States of America
Remote only
We’re seeking an Applied Data Scientist III to turn our backlog of AI use cases into scalable, production-ready solutions. This role is both hands-on technical and strategy, combining model development, system design, and operationalization in AWS alongside AI adoption and domain readiness. You’ll work to standardize efforts, drive measurable business impact, and elevate data science best practices across the team and enterprise. You’ll also represent AI platform capabilities to neighbor groups, translating complex ideas and needs into clear value, for both non-technical and technical stakeholders.
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.
Uphold and engage in Compassion’s core Cultural Behaviors.
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.
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 and AI adoption.
What do you bring?
Demonstrated ability to act as an AI evangelist—guiding non-technical teams, influencing adoption, and promoting best practices across the organization
Strong ability to quantify impact, including cost savings, ROI, and prioritization of high-value use cases
Experience partnering with business stakeholders and translating technical concepts into clear, actionable items and insights
Strong hands-on experience building and deploying machine learning models end-to-end in production environments
Proven ability to perform exploratory data analysis and select appropriate algorithms based on business outcomes and data characteristics
Hands-on experience with AWS (especially SageMaker) for model development, deployment, and orchestration
Experience working with modern data platforms such as Snowflake and enterprise data warehouses
Ability to consolidate and operationalize multiple siloed use cases into standardized, scalable solutions
Seven years Relevant experience working in the Data field
Why work here?
The mission: Join a team that is motivated to release children from poverty in Jesus’ name.
Our 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.
Spiritual growth: Participate in regular chapel services, prayer groups, and department devotionals.
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