<div>The expected salary range for this position is $106,400.00 - $125,010.60. Employees in specific high cost of labor locations in the United States (such as San Francisco, CA and Seattle, WA) may qualify for a geographic differential. Compassion International is not responsible for third parties who omit this information when copying and re-posting job openings.</div><div><br>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.&nbsp;</div><div><br><strong>What will you do?</strong> &nbsp;</div><ul><li>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.&nbsp;</li><li>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.&nbsp;</li><li>Uphold and engage in Compassion’s core <strong>Cultural Behaviors</strong>.&nbsp;</li><li>Develops, analyzes, and models operational, program, marketing, or other organizational data to analyze the competitive performance of Compassion's business segments.&nbsp;</li><li>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.&nbsp;</li><li>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.&nbsp;</li><li>Translates complex analytical and technical concepts for non-technical team members to enable understanding and drive informed business decisions and AI adoption.&nbsp;</li></ul><div><br><strong>What do you bring?</strong>&nbsp;</div><ul><li>Demonstrated ability to act as an AI evangelist—guiding non-technical teams, influencing adoption, and promoting best practices across the organization&nbsp;</li><li>Strong ability to quantify impact, including cost savings, ROI, and prioritization of high-value use cases&nbsp;</li><li>Experience partnering with business stakeholders and translating technical concepts into clear, actionable items and insights&nbsp;</li><li>Strong hands-on experience building and deploying machine learning models end-to-end in production environments&nbsp;</li><li>Proven ability to perform exploratory data analysis and select appropriate algorithms based on business outcomes and data characteristics&nbsp;</li><li>Hands-on experience with AWS (especially SageMaker) for model development, deployment, and orchestration&nbsp;</li><li>Experience working with modern data platforms such as Snowflake and enterprise data warehouses&nbsp;</li><li>Ability to consolidate and operationalize multiple siloed use cases into standardized, scalable solutions&nbsp;</li><li>Seven years Relevant experience working in the Data field&nbsp;</li></ul><div><br><strong>Why work here?</strong>&nbsp;</div><ul><li><strong>The mission:</strong> Join a team that is motivated to release children from poverty in Jesus’ name.&nbsp;</li><li><strong>Our benefits</strong>: 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 <strong>more</strong>.&nbsp;</li><li><strong>Spiritual growth:</strong> Participate in regular chapel services, prayer groups, and department devotionals.&nbsp;</li></ul>

Applied Data Scientist III

<div><strong>Position Summary &nbsp;</strong></div><div>Reporting to the Chief Data and Information Officer</div><div>Location within Kansas City, MO or Remote and or Hybrid optional</div><div>Reporting to the Chief Data and Information Officer, the Director, Applied AI leads the practical application of AI and automation to improve operational effectiveness across GO Project. This role functions as an internal continuous improvement leader, working across every department to identify workflow friction, reduce manual work, and implement AI enabled solutions that expand staff capacity.&nbsp;</div><div>This role represents a strategic priority for GO Project’s next phase of operational scale, with executive leadership committed to embedding AI and automation into everyday organizational workflows. The Director begins as a hands on builder, rapidly prototyping and deploying practical automation and AI enabled workflows. Over time, the role will increasingly focus on architecture, standards, and scaling successful approaches across the organization.&nbsp;</div><div>In the first year, success will be measured by delivering practical AI enabled automations that reclaim staff time, reduce manual administrative work, and demonstrate clear operational value across multiple teams.This role owns the organization’s internal AI tooling environment, establishing standards for approved tools, managing evaluation and selection of platforms, and ensuring AI tools are secure, effective, and aligned with organizational workflows. The Director is responsible for building baseline AI literacy across GO Project, ensuring staff understand how to incorporate AI tools safely and effectively into their daily work.&nbsp;<br><br></div><div><strong>Your Responsibilities Include&nbsp;</strong></div><div><strong>Process Discovery and Workflow Improvement&nbsp;</strong></div><ul><li>Conduct systematic reviews of workflows across departments including programs, operations, marketing, finance, and people operations to identify repetitive or inefficient tasks.&nbsp;</li><li>Lead discovery sessions with department leaders and frontline staff to surface operational pain points and automation opportunities.&nbsp;</li><li>Map end to end workflows to identify friction points where AI and automation can create leverage.&nbsp;</li><li>Maintain and prioritize an organization wide backlog of automation opportunities.&nbsp;</li><li>Maintain a steady pipeline of automation initiatives delivering continuous improvements.&nbsp;</li></ul><div><strong>AI Enabled Workflow Automation&nbsp;</strong></div><ul><li>Design and implement AI enabled workflows that automate routine tasks and improve operational efficiency.&nbsp;</li><li>Rapidly prototype and deploy automation solutions and iterate with real users before scaling.&nbsp;</li><li>Build and maintain AI workflows using modern automation platforms and APIs (e.g., n8n, Make, Zapier, Workato, or similar tools).&nbsp;</li><li>Design purpose built AI agents connecting AI models with organizational workflows.&nbsp;</li><li>Prototype tools leveraging internal knowledge sources in collaboration with Data and Engineering teams.&nbsp;</li><li>Maintain clear documentation of key workflows and system dependencies.&nbsp;</li></ul><div><strong>System Evaluation, Selection and Implementation&nbsp;</strong></div><ul><li>Evaluate and select commercial AI tools supporting organizational workflows and productivity.&nbsp;</li><li>Lead vendor demonstrations, pilot programs, and tool evaluations.&nbsp;</li><li>Develop business cases and budget recommendations for AI investments.&nbsp;</li><li>Coordinate implementation with IT, Data, and departmental teams.&nbsp;</li><li>Ensure integration with systems like Office 365, Salesforce, Slack, and Asana.&nbsp;</li></ul><div><strong>AI Tooling Governance and Ownership&nbsp;</strong></div><ul><li>Own the organization’s AI tool inventory and approval process working with CDIO.&nbsp;</li><li>Establish standards for approved AI tools used across the organization.&nbsp;</li><li>Manage lifecycle of AI tools including evaluation, approval, renewal, and retirement.&nbsp;</li><li>Identify and rationalize duplicative or unofficial AI tools.&nbsp;</li><li>Apply governance and architecture standards.&nbsp;</li><li>Serve as the operational lead for implementing AI governance decisions.&nbsp;</li><li>Serve as an intake point for requests to introduce new AI tools and prepare recommendations for governance review.&nbsp;</li><li>Prepare tool reviews, vendor assessments, and risk analyses for governance approval.&nbsp;</li><li>Translate governance principles and policies into practical operational guidance for staff.&nbsp;</li></ul><div><strong>Organizational Adoption and AI Literacy&nbsp;</strong></div><ul><li>Lead organizational change efforts for AI initiatives.&nbsp;</li><li>Design and lead an organization wide AI enablement program including workshops and playbooks.&nbsp;</li><li>Build and support an internal AI Champions network.&nbsp;</li><li>Develop practical guidance and examples showing staff how AI can improve everyday work.&nbsp;</li><li>Develop approved tool lists and guidance helping staff comply with the organization’s AI acceptable use policy.&nbsp;</li><li>Proactively intervene when adoption lags expectations.&nbsp;</li></ul><div><strong>AI Strategy Execution&nbsp;</strong></div><ul><li>Translate organizational AI strategy into a pipeline of workflow improvements.&nbsp;</li><li>Identify opportunities where AI can reduce manual work and expand staff capacity.&nbsp;</li><li>Run controlled pilots and recommend scaling or discontinuing initiatives.&nbsp;</li><li>Track KPIs such as time saved and operational efficiency gains.&nbsp;</li><li>Product and Engineering Collaboration&nbsp;</li><li>Provide guidance to engineering teams exploring AI capabilities within CarePortal, Strong Family, and GOEX.&nbsp;</li><li>Share patterns and lessons learned from operational AI implementations.&nbsp;</li></ul><div><strong>What Success Looks Like in the First Year&nbsp;</strong></div><ul><li>Several practical AI automations are live across multiple departments.&nbsp;</li><li>Staff reclaim meaningful time previously spent on administrative tasks.&nbsp;</li><li>Staff understand when and how to use AI tools effectively.&nbsp;</li><li>A clear set of approved AI tools and governance practices is established.&nbsp;</li><li>Department leaders view AI as a practical solution to operational challenges</li></ul><div><br></div><div><strong>Qualifications</strong></div><div><strong>Knowledge and Skills, You Bring to the Organization&nbsp;</strong></div><div><strong>Required&nbsp;</strong></div><ul><li>Bachelor's degree in computer science, Information Systems, Data Science, Engineering, Business Analytics, or related fields required.&nbsp;</li><li>5 to 7 plus years of professional experience in operations, systems implementation, digital transformation, data systems, or technical product development.&nbsp;</li><li>2 to 4 plus years of hands on experience designing and implementing workflow automation, AI enabled systems, or advanced productivity tools within an organizational environment.&nbsp;</li><li>Hands on experience implementing AI enabled workflows or productivity tools.&nbsp;</li><li>Strong working knowledge of current AI technologies and enterprise applications.&nbsp;</li><li>Experience with automation platforms and APIs (e.g., n8n, Make, Zapier, Workato, or similar tools).&nbsp;</li><li>Comfort working with APIs, JSON, and light scripting (e.g., Python).&nbsp;</li><li>Proven ability to analyze workflows and redesign processes.&nbsp;</li><li>Experience leading cross functional initiatives.&nbsp;</li><li>Effective communication skills with technical and non technical stakeholders.&nbsp;</li></ul><div><br></div><div><strong>Preferred&nbsp;</strong></div><ul><li>Experience designing AI workflows integrating LLMs with business processes.&nbsp;</li><li>Familiarity with prompt engineering, agent workflows, or retrieval systems.&nbsp;</li><li>Experience implementing knowledge management or enterprise search platforms.&nbsp;</li><li>Training or certification in change management methodologies.&nbsp;</li></ul><div><br></div><div><strong>Key Traits for Success&nbsp;</strong></div><ul><li>Curious and Diagnostic enjoys understanding how work gets done.&nbsp;</li><li>Pragmatic: focused on solving operational problems.&nbsp;</li><li>Builder: comfortable getting hands on with automation platforms and APIs.&nbsp;</li><li>Change Leader: skilled at helping teams adopt new tools.&nbsp;</li><li>Translator: explains AI capabilities clearly to technical and non technical audiences.&nbsp;</li><li>Organized: maintains understandable workflows and documentation.&nbsp;</li><li>Operational: thinks in terms of capacity and measurable improvements.&nbsp;</li></ul><div>&nbsp;</div><div>The above description is not intended to be comprehensive, but rather a focused list of priorities. Success provides the opportunity to not only build a career but also bring much needed support and care to local children and families in crisis across the United States. Successful candidates, like all GO Project LLC employees, are expected to live and work consistent with GO’s vision, mission, and values.&nbsp;</div><div>&nbsp; &nbsp;</div><div>GO Project offers a competitive benefits package for full time positions (30 plus hours per week) including health, dental, vision and employer paid life insurance, retirement savings and generous PTO plan and a highly competitive, market indexed compensation when compared to similar non profit roles. Compensation is commensurate with relevant skills and experience. &nbsp;</div><div>The Global Orphan Project is a 501c3 nonprofit located at 3161 Wyandotte, Kansas City, MO 64111.&nbsp;</div><div>GO Project associates are at will employees.&nbsp;</div><div><a href="http://www.goproject.org/">www.goproject.org</a> &nbsp;</div>

Director of Applied AI

<div>GMO Global Media Outreach harnesses the power of digital technology to spread the Gospel around the globe. Through advanced data-driven strategies, we connect with millions, fostering their spiritual growth in Christ. We aim to offer every person on Earth the chance to discover Jesus via various digital channels, creating a faith-based community that unites volunteers with individuals worldwide seeking spiritual enlightenment.<br><br></div><div>We are seeking a skilled and mission-driven Data Scientist to join our growing team. This role is pivotal in helping us understand, engage with, and support people at every stage of their spiritual journey. As a <strong>Data Science &amp; Analytics Director </strong>at Global Media Outreach, you’ll apply statistical modeling, machine learning, and data mining techniques to generate insights that inform outreach strategies, measure spiritual engagement, and optimize impact. You’ll work closely with stakeholders across the organization to ensure data is used to advance our mission effectively and responsibly.<br><br></div><div><strong>Key Responsibilities:<br></strong>This role will provide leadership to the Data Science &amp; Analytics team and foster cross-functional collaboration (including engineering, product, etc.) to align data initiatives with broader business objectives. This role reports to the Chief Technology Officer and works closely with the Director of Engineering and Sr. Director of Solutions as part of the Technology Solutions leadership team.&nbsp;<br><br></div><div><em>Modeling, Metrics &amp; Analysis:</em></div><ul><li>Design and implement machine learning models to classify contacts, predict user engagement, and identify behavioral trends.</li><li>Develop and refine metrics to quantify spiritual growth and content effectiveness.</li><li>Analyze large datasets to extract insights that inform strategic decisions, campaign performance, and digital outreach strategies.</li></ul><div><br><em>Experimentation &amp; Optimization:</em></div><ul><li>Design and evaluate A/B tests, multivariate experiments, and causal analyses to test hypotheses and optimize messaging, user flows, and engagement pathways.</li><li>Leverage data insights to assess the efficacy of product enhancements, content approaches, and operational workflows. This analysis will inform solution development and drive continuous improvement.</li></ul><div><br><em>Data Engineering Collaboration:</em></div><ul><li>Partner with the Director of Engineering to source, clean, and prepare structured and unstructured data for analysis and model deployment.</li><li>Contribute to refining data pipelines and support the execution of scalable models in production environments.</li></ul><div><br><em>Communication &amp; Visualization:</em></div><ul><li>Communicate complex data insights to stakeholders at all levels through clear narratives and effective data visualizations, enabling data‑driven decision‑making across the organization.</li><li>Create compelling dashboards, reports, and visualizations to communicate trends and recommendations to internal stakeholders and leadership.&nbsp;</li></ul><div><br>Research &amp; Innovation:</div><ul><li>Stay informed on trends in data science, machine learning, and AI—especially those applicable to digital engagement and nonprofit work.</li><li>Explore emerging technology trends such as NLP, recommender systems, and responsible AI to inform future innovation.</li></ul><div>&nbsp;</div><div><strong>Skill Requirements:</strong></div><ul><li>Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field.</li><li>5–7 years in data science/analytics with leadership experience.</li><li>Proficiency in Python or R and experience with relevant libraries (e.g., pandas, scikit-learn, TensorFlow, caret).</li><li>Strong SQL skills and experience working with relational databases and data warehouses.</li><li>Demonstrated experience with supervised and unsupervised learning techniques.</li><li>Strong grasp of experimental design, hypothesis testing, and statistical inference.</li><li>Excellent communication and visualization skills, with the ability to explain complex models to non-technical stakeholders.</li><li>Experience deploying models and working with data in production environments.</li></ul><div><br><strong>Bonus Skills:</strong></div><ul><li>Experience in digital engagement, donor analytics, or non-profit impact measurement.</li><li>Familiarity with cloud platforms such as AWS or Google Cloud Platform.</li><li>Exposure to NLP and chatbot-related applications.</li><li>Proficiency in data visualization tools such as Tableau, Power BI, or Looker.</li><li>Understanding of data ethics and responsible AI practices.</li></ul><div>&nbsp;</div><div><strong>Additional Requirements</strong></div><ul><li>This position is fully remote.</li><li>Only U.S.-based applicants will be considered.</li><li>Applicants must be authorized to work in the U.S.</li><li>Alignment with our Statement of Faith is required.</li></ul><div>&nbsp;</div><div><strong>To Apply<br></strong>If you have a passion for using your skills for Gospel purposes, we encourage you to apply. Please submit your <strong>resume</strong> and a <strong>cover letter below. </strong>Your cover letter should detail your interest in joining Global Media Outreach and highlight your experience and skills.<br><br></div><div>Join us in our mission to make a significant global impact through innovative digital means, spreading the gospel and connecting people with the message of Jesus Christ!</div>

Data Science & Analytics Director

<div>Life.Church wants to make a lasting difference in your life, in our community, and in the world. Our mission is to lead people to become fully devoted followers of Christ. That's how we’re able to make a difference, and it's the driving force behind everything we do. The Data Analyst is primarily responsible for partnering with ministry and operational leaders across Life.Church to transform data into strategic insights. This role delivers deep analytical insights, balanced perspectives, and clear recommendations that create confidence in decision-making at the tactical, operational, and strategic levels.</div><div><br></div><div>The Data Analyst builds technical proficiency, analytical rigor, and fosters stakeholder collaboration to execute independent analytical projects, support strategic framing, and partner with stakeholders effectively. The Data Analyst provides data solutions that equip teams and ministries to further Life.Church’s mission and to reach people for Christ.</div><div><br></div><div>At Life.Church, we exist to lead people to become fully devoted followers of Christ. It’s been our mission since 1996 and has guided us every day. Leading people isn’t just an expectation; it’s a necessity.&nbsp; It’s a cornerstone of our culture. That's why we’re always seeking leaders—leaders like you—to bring your skills to life. We are one church meeting in multiple locations, and we want to help you become the person God made you to be.&nbsp;</div><div><br></div><div>The Finance Team partners with the organization to facilitate the financial reporting needs of Life.Church, including payroll, accounts payable, giving operations, accounting, forecasting, and data analytics. We equip the organization with the tools needed to plan for, understand, and steward the resources God has provided for our ministry.<br><br></div><h3>What You’ll Do</h3><ul><li>Guide analytics beyond presentation to clarify trends, tradeoffs, and implications for action.</li><li>Create tools and dashboards that present data in a clear and compelling way with consistent definitions.</li><li>Conduct comprehensive cross-functional data analysis to uncover trends and insights.</li><li>Build and maintain analytical tools that support recurring ministry processes (forecasting, health metrics, performance tracking).</li><li>Design, enhance, and optimize Tableau dashboards and visualizations, collaborating with data engineers on underlying data structure improvements as needed.</li><li>Translate analytics projects into clear technical requirements.</li><li>Lead discovery conversations with stakeholders at various levels to seek understanding, develop solutions, and identify areas of analytical exploration.</li><li>Partner with leaders to design analytical deliverables (dashboards, reports, frameworks) that address recurring strategic questions and support ongoing decision-making.</li><li>Collaborate on long-term and short-term forecast development across several domains.</li><li>Collaborate with internal and external teams on data initiatives, integrations, and other system focused needs.</li></ul><div><br></div><h3>Skills Needed to Succeed</h3><ul><li>Excellent verbal, written, and interpersonal communication skills to clearly explain complicated processes and foster partnerships.</li><li>Ability to clearly explain complex analyses in concise, accessible ways.</li><li>Frame cross-functional analysis strategically and deliver actionable insights.</li><li>Maintain a systematic and organized approach to completing assignments accurately, thoroughly, and timely.</li><li>Ability to translate analytics projects into technical requirements.</li><li>Self-motivated with ability to take initiative, make independent decisions, and problem-solve.</li><li>Ability to collaborate in team environment and work independently.</li><li>Bachelor's degree in Data Analytics, Data Science, or related quantitative field.</li><li>1-3 years of experience in financial planning, data analysis or business intelligence or demonstrated technical proficiency in SQL, Tableau, and/or data visualization tools.</li></ul>

Data Analyst

<div><strong>MailWell: Data Services<br></strong>masterworks.agency<br><br></div><div><strong>General Description:</strong></div><div>The Marketing Data Specialist will leverage data management tools to clean, prepare and deliver audiences selected for marketing efforts. This role selects data based on written targeting strategies, works with our project management, client engagement and analytics teams to ensure accuracy, then prepares and delivers marketing files for use by a vendor or an internal marketing team.&nbsp;<br><br></div><div><strong>Primary Responsibilities:</strong></div><ul><li>Follow established processes to select audiences and prepare data for marketing efforts, delivering on the project requirements with a very high degree of accuracy.</li><li>Incorporate data from multiple sources using a variety of data software tools which include Google BigQuery, Microsoft Excel, Matillion, and Magnus.</li><li>QC data elements for projects received from clients, transformed data, final output file, and reports. &nbsp;</li><li>Partner with developers, analysts, project management, and client engagement teams to gather documentation and instructions necessary to complete data projects on time.</li><li>Create and update documentation on current processes for the data team and&nbsp; other agency teams, client contacts, and third-party data partners.</li><li>QC your work and the work of team members for data quality, process and accuracy.&nbsp;</li><li>Troubleshoot data errors and anomalies, and provide recommended solutions.</li><li>Perform ad-hoc queries as needed to answer questions about the data.&nbsp;</li><li>Create data query logic from non-technical requests.&nbsp;</li><li>Escalate any data or project issues to the Data Services Manager, as required.</li></ul><div><br></div><div><strong>Professional Competencies:</strong></div><ul><li>An adaptable and resilient mindset, comfortable with a dynamic work environment and evolving technological landscape</li><li>A very high level of attention to detail&nbsp;</li><li>Excellent organizational skills&nbsp;</li><li>Proactive communication&nbsp;</li><li>Ability to multi-task&nbsp;</li><li>Ability to manage assigned tasks and projects to ensure they are completed on schedule</li><li>Self-directed and able to work at peak performance in a fast-paced, production-oriented environment&nbsp;</li><li>A desire to work as part of a team in a collaborative environment</li><li>Ability to think critically and think outside the box</li><li>A commitment to continuous learning</li></ul><div><br></div><div><strong>Technical Competencies:</strong></div><ul><li>Knowledge of database relationships and architecture</li><li>Demonstrated ability to quickly learn and adapt to new software, tools, and technological advancements</li><li>Proficiency with Google Workspace and Microsoft Office Suite</li><li>Intermediate coding language skills (SQL, etc)</li><li>Proficiency in data management tools appropriate to this position:<ul><li>Relational database tools&nbsp;</li><li>Data encryption and transfer technologies (SFTP or use of APIs)&nbsp;</li><li>Cloud-based data lake technologies such as Google Big Query</li><li>Knowledge of basic direct mail and digital marketing metrics a plus</li></ul></li></ul><div><br></div><div><strong>Work Experience:</strong></div><ul><li>1+ years of experience in a related field (data science, database management, analytics, information technology, or marketing analytics)</li></ul><div><br></div><div><strong>Educational Requirements:&nbsp;</strong></div><ul><li>Bachelor’s Degree in a related field (data science, data analytics, data technology, database management, software and data engineering, information technology, applied mathematics, computer science)</li></ul>

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