<div><strong>Data Scientist IV</strong> <br>Are you passionate about using data science to solve real-world problems and communicate insights that leaders can trust? At Ligonier Ministries, we’re looking for a Data Scientist IV to join our Analytics &amp; Information Management (AIM) team within the Technology &amp; Innovation Department (T&amp;I). This is a senior role for an analytics leader who will launch Ligonier’s first machine learning initiatives while occasionally flexing to assist with data engineering and BI as needed to keep value flowing. As part of AIM, you’ll design and deploy trustworthy, interpretable ML models that directly strengthen gospel engagement, discipleship, and generosity. From predictive modeling and A/B testing to SHAP-based explanations and ROI measurement, you’ll help stakeholders not only see what’s possible but also understand and act on it with confidence. And when demand for data science ebbs, your versatility to occasionally assist with data engineering and reporting ensures the ministry continues moving forward. <br><br>This position is fully remote, allowing you to contribute from anywhere in the U.S. while partnering with a mission-driven team dedicated to stewardship, innovation, and impact. <br><br><strong>What You’ll Do</strong></div><ul><li>Build predictive models on constituent data to identify the drivers of mission-critical outcomes.</li><li>Design and interpret controlled experiments (A/B testing, lift, ROI) to measure business impact.</li><li>Deliver clear, executive-ready explanations of model results using SHAP and other methods.</li><li>Operationalize ML solutions with reproducible code, CI/CD, monitoring, and Power BI outputs.</li><li>Collaborate on feature engineering and data pipelines with AIM’s engineering team.</li><li>Champion data governance, quality, and security practices across sensitive data assets.</li><li>Mentor colleagues and evaluate emerging Microsoft and ML tools for responsible adoption.</li><li>Occasionally assist with data engineering and BI delivery during periods of low DS demand.</li></ul><div><br><strong>What You’ll Bring</strong></div><ul><li>Master’s degree in a quantitative field (Computer/Data Science, Statistics, Applied Economics, etc.).</li><li>7–10+ years of progressive experience spanning machine learning, analytics, and data engineering.</li><li>Expertise in predictive modeling and experimentation (GLMs, ensembles, XGBoost/LightGBM, neural nets, etc.).</li><li>Strong proficiency in Python (pandas, NumPy, scikit-learn, XGboost), SQL/T-SQL, and MLOps practices.</li><li>Hands-on experience within Microsoft’s ecosystem (Azure Synapse/Fabric, SSIS/ADF, Delta lakehouse).</li><li>Advanced use of Power BI (datasets, dashboards, DAX, incremental refresh).</li><li>Ability to translate technical models into business-ready explanations and mentor teams.</li><li>Commitment to Ligonier’s General Statement of Faith.</li></ul><div><br>This is a role with meaningful impact in a non-profit Christian ministry. We highly encourage you to include a cover letter with your application.</div><div>At this time, we are only able to hire individuals authorized to work in the United States.</div><div>&nbsp;</div><div>The pay range for this position is $120,000 – $135,000 annually. Pay ranges represent the lowest to highest salary we reasonably believe we would pay for this role at the time of posting. We may ultimately offer more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, geographic location, and organizational needs.</div>

Data Scientist IV

<div><strong>Experience GuideStone!</strong></div><div>We are an innovative organization that invests in the spiritual, relational, financial, physical and professional development of our employees. We have a culture that values excellence, teamwork, humility, integrity, compassion and stewardship.</div><div><br><strong>What We Offer You!</strong></div><div>We offer employees a generous benefits package, flexible work schedules, the opportunity to be involved in community outreach and tuition reimbursement.</div><div><br><strong>Job Summary</strong></div><div>GuideStone is seeking a visionary and hands-on Enterprise Data Architect to lead the design and evolution of our enterprise data estate. This role blends strategic leadership with deep technical expertise to enable secure, trustworthy, and well-modeled data for analytics and applications. As a faith-based, non-profit organization, GuideStone offers a mission-driven culture, strong work/life balance, and a collaborative environment where your work directly supports meaningful outcomes. This is a unique opportunity to shape data architecture across Azure platforms while mentoring teams and influencing enterprise-wide decisions.</div><div><br><strong>What You'll Do&nbsp;</strong></div><ul><li>Define and maintain reference architectures for batch, streaming, and real-time data across Azure Data Lakehouse, Microsoft Fabric, Synapse, and Databricks</li><li>Drive convergence on data modeling approaches (dimensional, medallion and semantic) and sponsor canonical models and domain boundaries</li><li>Design and prototype data pipelines, semantic layers, and medallion/lakehouse patterns using SQL, PySpark, and Azure tools</li><li>Establish data governance standards including SLAs/SLOs, quality rules, lineage, and metadata management via Microsoft Purview</li><li>Implement secure data platform practices: RBAC/ABAC, encryption, key management, and network isolation</li><li>Lead architecture reviews, translate technical concepts for non-technical stakeholders, and align data strategy with business outcomes</li><li>Mentor data engineers, analysts, and citizen developers; elevate engineering standards through enablement and playbooks</li><li>Guide incident reviews, root-cause analysis, and architecture health tracking to ensure operational excellence</li></ul><div><br><strong>What You'll Need</strong></div><div><strong>Required Qualifications ​</strong></div><ul><li>Bachelor’s or Master’s in Computer Science, MIS, Engineering, or related field—or equivalent experience</li><li>10+ years in data/analytics, including 3–5+ years in architecture or lead roles</li><li>Deep expertise in Azure data services: Microsoft Fabric, Synapse, Databricks, ADLS Gen2</li><li>Advanced data modeling experience dimensional, medallion and semantic modeling for Power BI</li><li>Strong proficiency in SQL and Python/PySpark; performance tuning for large-scale datasets</li><li>Proven experience designing secure data platforms with privacy, retention, and access controls</li><li>Hands-on experience with data governance tools and practices (Purview or equivalent)</li><li>Familiarity with CI/CD, DevOps for data (Azure DevOps/GitHub), and infrastructure-as-code (Bicep/Terraform)</li><li>Excellent communication and storytelling skills to bridge technical and business audiences</li><li>High integrity and confidentiality in handling sensitive business matter</li></ul><div><br><strong>​Preferred Qualifications</strong></div><ul><li>Microsoft certifications (e.g., DP-203, DP-600, AZ-305)</li><li>Experience with event streaming (Event Hubs/Service Bus), MDM, and reference data solutions</li><li>Exposure to legacy interoperability (.NET/C#, SSIS/SSRS, SSAS/Tabular)</li></ul>

Data Architect

<div><strong>HOW YOU WILL IMPACT THE BIG PICTURE:</strong></div><div><br></div><div>As the Engineering Manager, Data Engineering, you will lead the design and operation of a modern, mission-driven data ecosystem for the world’s largest Catholic media network. You’ll own the architecture, implementation, and sustainment of our data platforms—deploying a Customer Data Platform (CDP), a scalable cloud lakehouse/warehouse (e.g., Microsoft Fabric, Snowflake), and cross-platform analytics tools (Mixpanel, PostHog) to unify data across all digital properties.</div><div>You’ll combine hands-on data engineering expertise with strategic leadership to transform fragmented donor, marketing, and content data into actionable insights that power evangelization, audience engagement, and operational efficiency.&nbsp;</div><div><br></div><div><strong>WHAT YOU WILL DO:</strong></div><div><br></div><div>· <strong>Architect &amp; Build:</strong> Implement a unified data lake using medallion architecture (Bronze/Silver/Gold layers) to ingest, cleanse, enrich, and activate data from sources like Virtuous CRM, HubSpot, FlexFormz, and streaming/video platforms.</div><div>· <strong>Integrate &amp; Automate:</strong> Create robust ETL/ELT pipelines with tools like dbt, Apache Airflow, and Fabric Dataflows to deliver Supporter 360 and Household 360 views, enabling identity resolution and multi-touch attribution.</div><div>· <strong>Enable Insights:</strong> Partner with analysts and business teams to design metrics, dashboards (Power BI), and self-service data products that support fundraising, marketing, and content strategy.</div><div>· <strong>Champion Data Quality:</strong> Establish governance, automated hygiene loops (email, address, phone validation), and standardized identity matching rules, ensuring compliance with GDPR/CCPA.</div><div>· <strong>Lead &amp; Collaborate:</strong> Manage a small engineering team and vendor partners, mentoring talent while working cross-functionally with Product, Marketing, Mission Advancement, and Content teams.</div><div>· <strong>Activate Data:</strong> Drive real-time data activation via APIs, reverse ETL, and CDP integrations for personalized, omni-channel engagement.</div><div><br></div><div><strong>ABOUT YOU:</strong></div><div><br></div><div>· 7+ years in data engineering/architecture, with at least 3 years in leadership roles.</div><div>· Proven experience with cloud data platforms (Microsoft Fabric, Snowflake, Databricks, or similar) and modern pipeline tools (dbt, Airflow, Fivetran).</div><div>· Expertise in data modeling, identity resolution, and integrating diverse sources (CRM, marketing automation, e-commerce, OTT).</div><div>· Strong SQL, Python, and BI/visualization skills (Power BI, Tableau, Looker).</div><div>· Experience with data governance, privacy compliance, and vendor management.</div><div>· Familiarity with legacy systems, such as Virtuous CRM.</div><div>· Experience with digital media or streaming analytics.</div><div>· Passion for leveraging data in service of a faith-based, mission-driven organization, ideally a practicing Catholic with spiritual maturity.&nbsp;</div><div><br></div><div><strong>WHAT YOU’LL LOVE ABOUT WORKING HERE:</strong></div><div><br></div><div>· We offer a career with purpose! Apply your God-given talents, knowing your contributions help to advance EWTN’s mission of sharing the Gospel with the world.</div><div>· Caring environment.&nbsp; We value the importance of family/life balance and welcome you as an EWTN family member, not just an employee.</div><div>· Worship at work! Freedom to participate in Mass, visit the chapel for prayer or attend an annual retreat.</div><div>· Competitive salary and comprehensive benefits package including Health, Dental, Vision, Life &amp; Disability insurance and Retirement Savings Plan.</div><div>· 11 Paid Holidays and generous Paid Time Off program.</div><div>· Tuition reimbursement for online continuing education and degree programs through our partnership with Catholic International University.</div><div>· Ability to learn alongside legacy employees while bringing new ideas to the growing team.</div>

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