Applied Data Scientist III

Compassion International

Applied Data Scientist III developing scalable AI solutions for Compassion's mission to release children from poverty. Conducting data analysis and representing AI capabilities for business stakeholders.

Posted 4/16/2026full-timeRemote • California, Washington • 🇺🇸 United StatesSeniorLead💰 $106,400 - $125,010 per yearWebsite

Tech Stack

Tools & technologies

AWS

About the role

Key responsibilities & impact

Turn backlog of AI use cases into scalable, production-ready solutions
Standardize efforts, drive measurable business impact, and elevate data science best practices across the team and enterprise
Represent AI platform capabilities to neighbor groups, translating complex ideas and needs into clear value for both non-technical and technical stakeholders
Develop, analyze, and model operational, program, marketing, or other organizational data to analyze the competitive performance of Compassion's business segments
Develop innovative strategies, quantify the competitive performance of the organization's operations and/or markets
Perform exploratory data analysis to understand relationships, opportunities to influence outcomes and how to attribute cross-channel outcomes
Further develop proofs of concept to verify ideas and close the loop to make sure that the proposed solution is performing as it should and is correctly understood by clients
Translate complex analytical and technical concepts for non-technical team members to enable understanding and drive informed business decisions and AI adoption.

Requirements

What you’ll need

Seven years Relevant experience working in the Data field
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
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.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningexploratory data analysisdata modelingalgorithm selectiondata analysisproofs of conceptAI adoptionquantifying impactcompetitive performance analysisdata science best practices

Soft Skills

communicationinfluencingstakeholder engagementtranslating technical conceptsguiding non-technical teamscollaborationstrategic thinkingproblem-solvingorganizational impactbusiness acumen