<div>GiveDirectly has delivered more than $1B in cash directly to 2+ million people living in poverty across 15 countries since 2011. We believe cash transfers are one of the most scalable, cost-effective, and dignified forms of aid, with the research to back it up. Our work has been covered by The Economist, NPR, TED, and The Washington Post. We are one of Time100’s Most Influential Companies of 2026. <br><br></div><div>Our culture is candid, analytical, and non-hierarchical. We support high ownership and real professional growth. Curious about what it's really like to work here? Read our values and hear from the people who do. If they resonate, this could be a great fit!<br><br></div><div><strong>Location: Remote, with a requirement to overlap with an East Africa timezone by at least 3 hours. </strong>We can only employ people in certain places at the moment, so it's worth checking our <strong>current list of eligible countries</strong> to see if yours is included. If you're based elsewhere, it's not an automatic no, but do flag it early with your recruiter. <strong>We are unable to sponsor or take over sponsorship of employment visas in the U.S. or U.K. at this time.</strong><br><br></div><div><strong>About this role</strong></div><div>GD moves cash directly into the hands of people living in poverty, often in contexts with limited infrastructure and oversight. Protecting that cash from fraud — whether attempted by external bad actors, field staff, or recipients — is core to our mission and to donor trust. Internal Audit is GD's second line of defense against fraud, and this role sits at the center of it.<br><br></div><div>We're looking for a Data Analyst who can turn raw operational, payments, and enrollment data into a clear picture of where fraud risk is emerging across our programs, translate those patterns into recommendations that change how projects are designed, and partner with our Product team to build the tools that help us catch fraud earlier and more reliably. You'll move fluidly between deep analysis, clear storytelling to stakeholders who aren't data specialists, and hands-on collaboration with engineers and product managers.<br><br></div><div>This role sits within Internal Audit but has a dotted reporting line to the Director of Data in order to ensure we meet the organisational technical quality bar and standardise analytical and engineering practises and ways of working across the organisation. Internal Audit owns fraud-risk questions, indicator definitions, investigative analysis, and interpretation, while the central Data team owns shared data infrastructure, production pipelines, governed data models, and platform standards. The analyst bridges the two: contributing domain requirements, validation, and quality assurance, and ensuring this work aligns with organization-wide analytical and engineering practices. <br><br></div><div>You are as comfortable in a spreadsheet or SQL console as you are in a room with country program leads explaining why a trend matters and what to do about it. You default to evidence over instinct, but you know that a good insight is only useful if someone acts on it.<br><br></div><div><strong>What you'll do</strong></div><ul><li><strong>Analyze fraud risk trends:</strong> Mine enrollment, payment, survey, and field-operations data to identify patterns, anomalies, and emerging fraud typologies (e.g., duplicate enrollments, collusion, identity fraud, diversion of funds) across GD's programs and geographies.</li><li><strong>Design and oversee fraud-risk indicators:</strong> Build, validate, and maintain recurring monitoring in partnership with central data and operational control owners.</li><li><strong>Identify data quality issues</strong> in data currently collected by Internal Audit, and help design and implement process improvements to resolve them.</li><li><strong>Embed data-driven thinking into IA design:</strong> Identify fraud-related decisions where GiveDirectly should be more data-driven, and incorporate this into Internal Audit process design.</li><li><strong>Translate findings into action:</strong> Package analysis into clear, credible briefs and presentations for country teams, operations leadership, and senior management, with concrete recommendations for reducing fraud risk.</li><li><strong>Support fraud investigations:</strong> Provide data pulls, quantify exposure, and help reconstruct events for specific cases — ensuring analysis is reproducible and audit-ready, with documented queries, data lineage, assumptions, exclusions, and QA checks.</li><li><strong>Partner with Product and Central Data on fraud-detection tooling:</strong> Translate validated risk signals into product requirements, contribute domain expertise and acceptance criteria, and test whether controls operate as intended — while maintaining clear ownership and independence boundaries.</li><li><strong>Partner with Data Engineering</strong> on upstream data quality and pipeline improvements, while owning the downstream analytical layer.</li><li><strong>Strengthen methodology over time:</strong> Back-test risk indicators against investigated cases, monitor precision, coverage, and false-positive rates, and refine based on outcomes and emerging risks.</li><li><strong>Communicate uncertainty honestly:</strong> Distinguish confirmed fraud from suspicious-but-unconfirmed patterns, helping stakeholders make decisions without overstating findings.</li></ul><div><strong>What you'll bring</strong></div><ul><li>4+ years of experience in data analysis, audit, risk, or a related analytical role; experience in internal audit, fraud/forensics, or a nonprofit/development context is a plus but not required.</li><li>Strong SQL skills and comfort working directly in large, sometimes messy operational datasets (Salesforce data, payments data, survey data).</li><li>Experience using Python for reproducible analysis, automation, record linkage, anomaly investigation, or data-quality testing is strongly preferred.</li><li>Familiarity with analytical notebooks, version control, and documenting analysis so it can be reviewed and reproduced by others is a plus.</li><li>Experience with visualization tools (e.g., Looker, Tableau, Power BI) and/or Python/R for analysis.</li><li>Demonstrated ability to turn ambiguous, exploratory analysis into a clear, defensible narrative for non-technical stakeholders.</li><li>Experience or strong interest in working cross-functionally with product and engineering teams to translate analytical needs into product requirements.</li><li>Sound judgment on evidence quality: knowing the difference between a real signal and noise, and communicating that distinction transparently.</li><li>High integrity and discretion — this role will have visibility into sensitive information about staff, recipients, and active investigations.</li><li>Alignment with GiveDirectly's values, including prioritizing recipient wellbeing above all else.</li></ul><div><strong><strong>Compensation</strong></strong></div><div>At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy <strong>here</strong>.<br><br></div><div>Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income.<br><br></div><div><strong>United States</strong><br><br></div><ul><li><strong>Base Salary:</strong> $107,070</li><li><strong>Bonus at Target Performance:</strong> 10% (~$10,707, with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be $12,527 in 2025)</li><li><strong>Estimated Total Compensation at Target: $117,777</strong></li><li><strong>Annual Benefits Stipend:</strong> $21,393</li></ul><div><strong>United Kingdom</strong><br><br></div><ul><li><strong>Base Salary:</strong> £70,250</li><li><strong>Bonus at Target Performance:</strong> 10% (~£7,025, with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be £8,219 in 2025)</li><li><strong>Estimated Total Compensation at Target: £77,275</strong></li><li><strong>Annual Benefits Stipend:</strong> £2,760</li></ul><div><strong>Kenya</strong><br><br></div><ul><li><strong>Base Salary:</strong> $72,550</li><li><strong>Bonus at Target Performance:</strong> 10% (~$7,255, with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be $8,488 in 2025)</li><li><strong>Estimated Total Compensation at Target: $79,805</strong></li><li><strong>Annual Benefits Stipend:</strong> $0</li></ul><div>This role is fully remote, so if you are not based in the US, UK or Kenya, we will share an estimated salary benchmark for the country you are based in during the hiring process. <br><br></div><div><strong><strong>Why work at GiveDirectly?</strong></strong></div><div>At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including:<br><br></div><ul><li>A supportive team that works hard and cares hard</li><li>A robust health benefits plan (exact details will vary by country)</li><li>Flexible paid time off that staff is encouraged to take</li><li>Allowances for desk set-up and learning and development</li></ul><div> #LI-REMOTE<br><br></div><div><strong>Working at GiveDirectly</strong><br><br></div><div>GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.<br><br></div><div><em>Flagging for US applicants:</em> We invite you to "Know Your Rights" as an applicant.<br><br></div><div><strong>Commitment to Safeguarding</strong><br><br></div><div>As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.<br><br></div><div>These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.<br><br></div><div>**GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**<br><br></div><div><strong>Reasonable Accommodations</strong><br><br></div><div>We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs.<br><br></div><div><strong>Want to put your best foot forward on your GiveDirectly application?</strong> Take a look at our Candidate Application Prep Guide<strong>!</strong><br><br></div><div><strong><strong>Referrals</strong></strong></div><div>Know the right person for this role? Please consider <strong>referring them</strong>. We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!<br><br></div> Departments: Internal Audit

Data Analyst, Internal Audit

<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>

Remote Christian Python Jobs

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