<div>Indiana Wesleyan University is seeking experienced Adjunct Faculty to teach undergraduate and graduate applied A.I. courses in an online, asynchronous format. Additional opportunities exist to teach international student courses in a hybrid format, which includes online coursework and a two-day in-person session located in Merrillville, IN or Dallas, TX.<br><br>We are seeking faculty with a Doctoral degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Information Technology, or related course work and recent experience in applied A.I. and data analytics. Applicants with a Master’s degree and 5+ years of applied A.I. and/or analytics experience will be considered.<br>&nbsp;</div><div><strong>Duties and Responsibilities</strong></div><ul><li>Perform instruction related duties and responsibilities in a timely manner and in accordance with the mission, policies and procedures of the college.</li><li>Employ a range of suitable strategies to foster student learning, stimulate class discussions, encourage active learning in all students, maintain proper class related records, promptly assess student coursework, and apprise students of progress.</li><li>Articulate, current within his or her discipline, and demonstrate a passion for teaching and learning with related professional experience.</li><li>Incorporate Biblical principles into the content area</li><li>Communicate with all IWU constituents in a professional and academic manner. - (Essential)</li></ul><div>&nbsp;</div><div><strong>Education</strong></div><ul><li>Doctoral degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Information Technology, or related field. Or a Doctorate at 18 graduate hours in the field. Applicants with a Master’s degree and 5+ years of applied A.I. and/or analytics experience will be considered.</li></ul><div><br><strong>Experience</strong></div><ul><li>5+ years of experience in A.I., data science, and/or the integration of emerging technology into the business environment. This may include cross-disciplinary experience into technology application in particular fields such as healthcare, finance, manufacturing, business, and education.</li><li>Prior teaching experience preferred.</li><li>Applicants with at least five years of relevant work experience in Data Analytics/Science, Computer Science, Artificial Intelligence,</li><li>Information Technology are invited to apply. Teaching experience in cross-cultural settings preferred (not required)</li></ul><div><br><strong>Required Skills</strong></div><ul><li>Ability to model an active and mature personal faith in Jesus Christ</li><li>Demonstrated subject matter expertise and active involvement in continuous education/scholarship in the field</li><li>Passion and ability to teach effectively, including effective written and verbal communication</li><li>Ability to motivate and connect with students of diverse ages, cultures, and backgrounds</li><li>Ability to be engaged, reliable, and professional in a distributed work environment</li><li>Proficiency in MS Office products and online Learning Management software</li></ul>

Adjunct Faculty, Artificial Intelligence and Analytics

<h3>About the Company</h3><p>Logos is a purpose-driven tech company dedicated to building technology solutions that equip the church to grow in the light of the Bible. Our team is committed to increasing biblical literacy and accessibility for every Christian around the world. We do so by delivering value along three fronts: software tools, community collaboration, and rich digital content. Based in Bellingham, Washington, Logos also has operations in Chandler, Arizona and Puebla, Mexico.</p><h3>About the Role</h3><p>We're looking for a Data Scientist to join our Analytics team, reporting to the Director of Analytics and Data Science. You'll work as a peer to our Staff Data Scientist, jointly owning the data science function at Logos—predictive modeling, experimentation, and the recommendations work that shapes how hundreds of thousands of customers discover and use our products.</p><p>This is a role with real ownership. You will decide how to approach problems, what methods fit, and—just as importantly—what isn't worth doing. We're a lean team inside a company in the middle of a significant data transformation, which means the work is broad and the impact is visible, but it also means we need someone who brings their own judgment rather than waiting for direction.</p><p>We're results-driven, not academic. A model or analysis is only good if it measurably reduces churn, increases usage, or drives revenue. Methodological elegance that doesn't move a business metric isn't a win here.</p><h3>Responsibilities</h3><ul><li>Own data science projects end to end—problem framing, method selection, modeling, validation, and presenting results to the leaders who will act on them.</li><li>Ship data science work as certified, production-ready data products: models, scores, and features that other teams can trust and build on.</li><li>Design, run, and interpret experiments, including hypothesis formulation, sizing, and honest reads on inconclusive results.</li><li>Build and maintain predictive models and analytical pipelines in Python or R, SQL, and dbt on Databricks.</li><li>Help set the data science roadmap alongside the Staff Data Scientist and the Director, including pushing back when a request won't produce value.</li><li>Partner with Data Champions, the embedded analysts distributed across our business teams, so that data science output gets adopted rather than just delivered.</li><li>Work with the Data Platform team to validate data quality and the reliability of upstream data products.</li><li>Mentor analysts and less experienced team members, and contribute to code review and team standards.</li><li>Keep documentation and reproducible code current enough that a colleague could pick up your work without you in the room.</li></ul><h3>Requirements</h3><ul><li>4–7 years of professional experience in data science, applied statistics, or a closely related quantitative field.</li><li>A track record of owning projects independently, from ambiguous ask through delivered result, without daily oversight.</li><li>A results-driven mindset: you judge your own work by measurable business impact—churn, usage, revenue—and you can tell when a model isn't earning its keep.</li><li>Strong SQL and fluency in Python or R.</li><li>Solid grounding in statistics and experimental design, including knowing the limits of what a given test can tell you.</li><li>The judgment to prioritize: deciding what to work on, what to defer, and what to decline.</li><li>Excellent communication skills, with the ability to explain technical work to non-technical audiences and to hold your position when the data supports it.</li></ul><h3>Preferred Requirements</h3><ul><li>Experience as the only data scientist—or one of very few—on a team, where you had to operate without a technical safety net.</li><li>Hands-on experience with Databricks and dbt.</li><li>Exposure to production ML systems, recommendation engines, or MLOps practices.</li><li>Experience in a subscription or SaaS business, particularly around churn, retention, and usage analytics.</li><li>Familiarity with a data mesh or distributed analytics operating model.</li></ul><h3>Why This Role</h3><p>Data science at Logos is small, which means your work is not one input among dozens—it is the data science capability of the company. You'll have latitude to shape how the function operates, a Staff Data Scientist to think alongside, and a Director who will back your judgment. As the team and the company's data maturity grow, so does the scope available to you.</p><h3>Benefits</h3><ul><li>Competitive family medical, dental, vision, and life insurance</li><li>3 company-paid holidays per year in addition to regular holidays</li><li>4 days of paid time off (PTO) per year</li><li>Paid time off (PTO) on your birthday</li><li>Law benefits (15-day Christmas bonus, vacation days established by law, 25% vacation bonus)</li><li>Awards and recognition program</li></ul>

Data Scientist

<h3>Position Description</h3><p>Edify promotes holistic and high-quality Christ-centered education in partnership with low-fee independent Christ-centered schools. The Salesforce Systems and Engagement Officer is a full-time position that will thrive in a challenging, innovative, and empowering mission-focused work environment. This role will play a hybrid role that balances technical data execution with user-facing training and support across our Latin America operations. As Edify continues to scale, this position bridges the gap between the technical backend (automation, SQL, and database management) and staff enablement (training, onboarding, and adoption.</p><p>This role is designed as a blend of technical and user enablement work: some of your time will be focused on technical sustainability, system configurations, and exploring programmatic solutions, and some will be dedicated to empowering our field staff in Latin America, running training sessions, and translating user feedback into clear system improvements. This position reports to the Salesforce Lead and will work closely with our Salesforce Engagement Officer in Africa.</p><h3>Work Environment</h3><p>This position will be full-time based in any of Edify operational countries in Central or South America, reporting to the Salesforce Lead. The atmosphere of Edify is one where you can expect to perform widely varied tasks related to the role.</p><h3>Travel Expectation</h3><p>The position requires the ability to travel as needed. Up to 25% travel may be required for regional/global conferences, gathering field feedback, or training staff. In addition to regional travel, Edify holds an annual all-staff meeting, alternating in a US-based or international location each year. Travel would be required to attend this meeting.</p><h3>Primary Responsibilities:</h3><ul><li>Technical Administration & Data Engineering</li></ul><ul><li>AppExchange & Tech Stack Management: Assist in the administration, troubleshooting, and optimization of Edify’s third-party Salesforce ecosystem and integrated packages. This includes managing forms (FormAssembly), offline mobile data collection tools (Taroworks), document generation apps (PDF Butler), and learning management systems (IDE/TalentLMS).</li><li>Data Auditing & SQL/SOQL: Utilize SQL/SOQL to query databases, troubleshoot data inconsistencies, and audit data integrity/hygiene. Master Bulk Import Tools and/or Data Loader to manage large-scale data migrations with high precision.</li><li>Advanced Excel Analytics: Leverage advanced Excel functions (VLOOKUPs, pivot tables, data cleaning formulas) to manipulate, format, and audit complex relational datasets before system ingestion.</li><li>Configuration & Flows: Design, test, and maintain Salesforce Flows, validation rules, and custom formulas to drive platform efficiency and enforce data integrity.</li><li>Reporting & Visualization: Partner with global stakeholders to build, optimize, and maintain complex dashboards and unified reports for leadership, ensuring metrics are clear and accurate.</li><li>Code Foundations: Under the guidance of the Salesforce Lead, actively learn and apply basic Apex or Javascript programming and custom configurations to help systematically absorb consultant-led technical tasks.</li></ul><ul><li>Training, Enablement & Change Management (50%)</li></ul><ul><li>Regional Onboarding & Training: Lead the Salesforce platform onboarding and continuous training of the operations staff in Central and South America, translating complex platform configurations into practical, easy-to-understand daily workflows.</li><li>Process Optimization & "Ride-Alongs": Actively engage field staff through interviews, focus groups, and virtual "ride-alongs" to identify system friction points, simplify data-entry burdens, and streamline field processes.</li><li>Localized Helpdesk Support: Manage the regional Central America and South America technical support queue. Act as an empathetic, collaborative partner to solve staff errors and system bugs, escalating to the Salesforce Lead when necessary.</li><li>Knowledge Base Management: Keep all training resources, Salesforce Knowledge articles, and LMS enablement content up-to-date and tailored to the unique operational context of the staff in Central and South America.</li></ul><h3>Experience and Education Required:</h3><ul><li>Salesforce Experience: 2–4 years of hands-on experience as a Salesforce Administrator or Power User. Salesforce Certified Administrator designation is required (or must be earned within the first 3 months).</li><li>Data & SQL Proficiency: Definite, proven experience working with relational database concepts and querying data via SQL or SOQL.</li><li>Advanced Excel Skills: Mastery of Excel for data manipulation, audit preparation, and data cleaning.</li><li>Enablement & Training Aptitude: Prior experience in software training, customer service, technical onboarding, or user support. Excellent presentation and communication skills.</li><li>Bilingual Fluency: Complete professional fluency in English and Spanish (written and verbal).</li></ul><h3>Additional Preferred Technical Qualifications:</h3><ul><li>Integrated Apps Familiarity: Previous hands-on experience configuring or troubleshooting tools like Taroworks, FormAssembly, or PDF Butler.</li><li>Coding Aptitude: Prior experience with, or a defined, strong interest in learning code (Apex, JavaScript, or Python) to expand into programmatic Salesforce development.</li><li>Salesforce Ecosystem Familiarity: Experience with Non-Profit Success Pack (NPSP) or Sales Cloud, and familiarity using JIRA for agile change tracking.</li></ul><h3>Additional Requirements:</h3><ul><li>Personal confession of faith in Jesus Christ and commitment to Edify’s mission.</li><li>Living example of servant leadership, humble and willing to learn.</li><li>Passionate about Edify’s mission and alleviating global poverty.</li><li>A high degree of integrity.</li><li>Excellent listening skills to understand issues, risks, and goals.</li><li>Ability to work tactfully with others, displaying integrity, discernment, sound judgment, and confidentiality.</li><li>Ability to travel as needed.</li></ul><h3>About Edify</h3><p>The vision of Edify is to see Flourishing, Godly Nations, and we seek to accomplish this by improving and expanding sustainable Christ-centered education globally. Edify is a non-profit organization registered in the U.S. since 2009 and now has operations in 16 countries, including Bolivia, Burkina Faso, the Dominican Republic, Ecuador, El Salvador, Ethiopia, Ghana, Guatemala, Kenya, Liberia, Nigeria, Panama, Peru, Rwanda, Sierra Leone, and Uganda. Edify serves low-fee independent Christ-centered schools through three primary avenues: loans, training, and education technology.</p>

Salesforce Systems and Engagement Officer

<h3>About Donorbox</h3>
<p>Donorbox is a leading fundraising platform and donor management system for nonprofit organizations. Our mission is to accelerate positive impact worldwide by helping nonprofits become highly effective at raising funds and managing their supporter base. Since 2014, we have powered more than 100,000 global organizations to raise over $4 billion in donations. 🚀</p>
<p>Our fast-growing company is profitable and bootstrapped with a healthy run rate. We have a fully distributed and diverse 150-person team based in 16+ states and 23+ countries. In 2026, Donorbox was named by Built In as one of the Best Places to Work in Washington, DC.🏅 Donorbox is rated the #1 software for fundraising, donor management, and nonprofit payment on G2 based on hundreds of verified customer reviews — a reflection of the care our team puts into building products that nonprofits trust.</p>
<h3>The Team</h3>
<p>You will be joining the <strong>Developer Platform and Integrations Team</strong>. Nonprofits trust Donorbox with the data their work depends on: who their supporters are, what they gave, and when. That data only becomes useful when it reaches the tools each organization has actually chosen to work in. Our job is to move it there safely, automatically, and at scale.</p>
<p>In practice that means deep data integrations — Salesforce, HubSpot, Little Green Light, Blackbaud, Planning Center, QuickBooks Online, HMRC — where Donorbox is the source of truth feeding a customer's system. It means the data imports that bring an org's history across from a previous CRM. And it means standing Donorbox up as a platform for the cases we haven't anticipated: public APIs, webhooks, and the path toward an MCP server and headless capabilities. We operate with a flat hierarchy, a fully remote team, and a deliberate choice to keep our tech stack simple, reliable, and powerful.</p>
<h3>The Role</h3>
<p>At Donorbox, our engineers at this level are what we call "Problem Solvers." At the Senior Engineer level you are handed a problem rather than a task list, and you discover the work it takes to solve it — as we put it internally: "Given this problem, what needs to be done?" This is the level we hire toward and expect engineers to sustain. Integration work rewards it especially: the requirement is rarely the whole story, the third party's documentation is rarely accurate, and the failure modes are rarely visible until someone else's sync has been quietly dropping records for a week.</p>
<h3>Responsibilities</h3>
<ul>
<li><strong>Own integrations as products, not projects:</strong> Build and maintain deep CRM and mass-data-sync integrations, and keep maintaining them as both sides change. Upkeep is part of the job, not an interruption to it.</li>
<li><strong>Protect data in transit:</strong> Get the right record to the right account, exactly once, in a form the receiving system won't mangle. Deduplication, partial failures, and resuming a run that died halfway are the daily substance of the work.</li>
<li><strong>Make integration health visible:</strong> Build the monitoring, error reporting, and unglamorous logging that turns a mysterious sync failure into a diagnosable one — so we find out before a customer does.</li>
<li><strong>Design public surfaces carefully:</strong> Model the data and design the APIs and webhooks that third parties depend on. Once someone builds against a payload shape, you live with it, so naming, pagination, and error semantics are close to permanent.</li>
<li><strong>Champion Product Sense:</strong> Analyze requirements through a "Jobs-to-be-Done" lens, ask whether the customer can already do this with an existing integration, and push back when a requirement doesn't match a real user job. Bring feasibility and engineering cost into prioritization so we build the integrations that demonstrably win and retain customers.</li>
<li><strong>Collaborate and Ship:</strong> Balance shipping quickly with shipping quality. Review peers' pull requests as a teaching tool rather than a gate, help support agents with technical questions during shifts, and treat escalations as signals about the product.</li>
<li><strong>Steward our Knowledge:</strong> Keep developer-facing documentation accurate and add, edit, and delete internal docs as part of the work. In a codebase over ten years old, the reason an integration behaves oddly is often a decision someone made against a third-party constraint years ago.</li>
</ul>
<h3>What We Are Looking For</h3>
<ul>
<li><strong>API Design Judgment:</strong> Strong proficiency building and consuming REST APIs, with real opinions about versioning, pagination, and error semantics formed by having lived with your own decisions.</li>
<li><strong>Third-Party Resilience:</strong> Experience integrating with systems you don't control — rate limits, partial failures, retries, idempotency, and webhook delivery — and the patience to read documentation and issue descriptions thoroughly rather than jumping through keywords.</li>
<li><strong>Data Movement at Scale:</strong> Experience moving data between systems with mismatched models: deduplication, mapping records that don't fit cleanly, and reconciling two systems that disagree about the same person.</li>
<li><strong>Rails &amp; PostgreSQL Proficiency:</strong> Ability to design the data model and Rails objects for medium-sized features and get feedback on that design right, including SQL for non-trivial operational and bulk queries and the ability to read a Postgres EXPLAIN.</li>
<li><strong>Quality &amp; Testing:</strong> A habit of writing tests that survive refactors because they test behavior, not implementation — including tests that hold up against services you don't control. We use Minitest.</li>
<li><strong>Independent Problem Solving:</strong> A track record of taking an ambiguous problem, finding the work it contains, and driving it to completion without detailed specifications. Honest about trade-offs, and does not promise dates that depend on heroics.</li>
<li><strong>Team-First Instincts:</strong> Willingness to pause your own work to unblock a peer, and to optimize for team throughput over personal output.</li>
</ul>
<h3>Our Tech Stack</h3>
<ul>
<li><strong>Backend:</strong> Ruby, Ruby on Rails</li>
<li><strong>Frontend:</strong> Vanilla JavaScript, Hotwire (Turbo/Stimulus), Semantic HTML, CSS (Design Tokens)</li>
<li><strong>Database:</strong> PostgreSQL, Relational Databases, SQL</li>
<li><strong>Integration:</strong> REST APIs, Webhooks, OAuth</li>
<li><strong>Testing:</strong> Minitest, Fixtures</li>
<li><strong>Mindset:</strong> "Omakase" Rails, MVC, Object-Oriented Programming</li>
</ul>
<h3>Details</h3>
<ul>
<li>Fully remote based in India or Pakistan</li>
<li>Salary: $52,200 - $58,000 USD, depending on experience and location</li>
</ul>
<h3>Benefits &amp; Perks</h3>
<ul>
<li>Fully remote work from the comfort of your home</li>
<li>Eligibility for employee equity plan (stock options)</li>
<li>Reimbursement package for home office expenses and professional development, up to $1.5k</li>
<li>Generous time off policy of 21 days (birthday included 🎉), 8 holidays of your choice, and 2 paid volunteer days</li>
<li>Wellness program with fitness and mindfulness classes</li>
<li>Love your work and our mission of serving nonprofits!</li>
</ul>

Senior Engineer

<h3>Job Description</h3><p>Chick-fil-A, Inc. ('Chick-fil-A' or 'the Company') Staff members play a vital role in achieving our strategic goals by developing their skills, fostering inclusive teamwork, and embracing innovation. All Staff are expected to contribute to a compelling future by inspiring and motivating those around them. Growth and development are essential at Chick-fil-A. We want Staff to seek new perspectives and adopt new methods to drive continuous improvement and adaptation to evolving business needs. Lastly, we ask Staff to seek wisdom, expect the best, accept responsibility, respond with courage, and think others first.</p><p>Our Flexible Futures Model offers a healthy mix of working in person (currently a minimum of 8-10 days per month) and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.</p><h3>Overview</h3><p>The Professional/Individual Contributor Staff member is responsible for performing work responsibilities, building relationships, and sharing expertise and experience as he/she contributes to specific bodies of work, builds connections, and optimizes performance.</p><p>As a Senior Lead Data Engineer, you will be responsible for leading complex project work as a part of a larger cross-functional team in support of Supply Chain. Sr. Lead Data Engineers typically design, implement, maintain, and optimize necessary analytics infrastructure on technically complex projects, focusing on developing solutions to data modeling and/or analytics technology needs. You must have a general understanding of Supply Chain operations and be able to quickly develop mastery of the needed subject area across Supply Chain.</p><p>Our Senior Lead Data Engineers work with wide latitude for action or decisions on projects that are more complex and cross-functional in nature. They serve as technical anchors within one or more product areas or platform capabilities, applying advanced knowledge to outcomes of complexity and providing technical leadership and consultation to peer engineers on the design patterns, modeling standards, and testing frameworks that keep data products consistent, scalable, and aligned to enterprise standards. They act as a subject-matter expert and resource on data and/or analytics technology, and they may represent SCDA in external conversations. They also assist with the selection or oversight of outside vendor partners. They are expected to influence the project execution of IT and analyst teams. Successful candidates for this role must have strong analytical and data modeling skills, a deep understanding of database technology and data use within analytic platforms, and they must have strong programming skills with SQL and Python.</p><p>We expect our Senior Lead Data Engineers to have demonstrated fluency in both the technology language of IT and the analyst language of Supply Chain. They bring deep experience developing and implementing data models for analytic use and strong proficiency with cloud database architecture. They apply seasoned judgment to ambiguous, multi-source data problems, balancing performance, cost, and maintainability, and they work steadfastly with cross-functional partners to create impactful change.</p><h3>Responsibilities</h3><ul><li>Exhibits wide latitude in aligning Supply Chain stakeholders and IT to translate business logic into scalable data and analytic solutions on complex projects.</li><li>Develops ETL pipelines for Supply Chain consumption, establishing patterns for repeatable, scalable ETL work that others can leverage in their work.</li><li>Develops tool, data, and analytics best practices for SCDA and advises on their integration into operational practices.</li><li>Designs specific tool implementations, understanding Databricks, DBT, and cloud compute performance requirements and expectations.</li><li>Helps design patterns for efficient use of cloud compute resources.</li><li>Drives architecture decisions and establishes the technical approach for the product area, balancing performance, cost, and maintainability on ambiguous, multi-source data problems.</li><li>Defines design patterns, modeling standards, and testing frameworks for the product area, and leads design reviews to guide engineering work across the team.</li><li>Provides technical direction and mentorship to peer engineers, building capability across the product area without requiring managerial oversight.</li><li>Owns and is accountable for data model and code quality and any relevant documentation.</li><li>Acts as a technical anchor for one or more product areas or platform capabilities, owning end.</li><li>Implements data governance and master data management principles across specific project execution.</li><li>Acts as a subject matter expert and resource on data and/or analytics technology issues for the larger SCDA community.</li><li>Drives complex projects to success and enables others to own the impact.</li><li>Manages any needed maintenance and quality control on data pipelines or data products they have built which are actively in use.</li></ul><h3>Required Qualifications (Knowledge, Skills, & Abilities)</h3><ul><li>Has strong analytical and data modeling skills</li><li>Has a deep understanding of cloud database technology</li><li>Has a deep understanding of analytic platform data use</li><li>Has strong programming skills in SQL and Python</li><li>Has experience developing and implementing data models for analytic use</li><li>Has moderate experience with cloud database architecture</li><li>Has the skill to partner with cross-functional teams using strong written and verbal communication</li><li>Fast learner and proven problem solver</li><li>Keen eye for system thinking and process design, especially with respect to scalability and automation</li><li>Keen eye for detail and thoughtful investigation of data</li><li>Has a steadfast focus on creating impactful change</li></ul><h3>Preferred Qualifications (Knowledge, Skills, & Abilities)</h3><ul><li>Has some experience using the AWS big data technology stack</li><li>Has extensive experience with Databricks, dbt, Snowflake, or similar distributed platforms</li><li>Has extensive experience with Tableau or similar data visualization tools</li><li>Has some experience implementing data governance principles</li><li>Has experience defining engineering standards, design patterns, or leading design reviews for peer engineers within a product area or discipline</li></ul><h3>Required Years of Experience</h3><p>5</p><h3>Preferred Years of Experience</h3><p>10</p><h3>Travel Requirements</h3><p>10%</p><h3>Required Level of Education</h3><p>Bachelor's Degree</p><h3>Preferred Level of Education</h3><p>Master's Degree</p><h3>Required Major/Concentration</h3><p>MIS, Decision Sciences, Engineering, Business Analytics, Computer Science or other similar fields</p><h3>Preferred Major/Concentration</h3><p>MIS, Decision Sciences, Engineering, Business Analytics, Computer Science or other similar fields</p><h3>Relocation Assistance Provided</h3><p>No</p>

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