Full-time Description About Logos
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. 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. 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. A model or analysis is only good if it measurably reduces churn, increases usage,



or drives revenue. Own data science projects end to end — problem framing, method selection, modeling, validation, and presenting results to the leaders who will act on them. Ship data science work as certified, production-ready data products: models, scores, and features that other teams can trust and build on. Build and maintain predictive models and analytical pipelines in Python or R, SQL, and dbt on Databricks.
Help set the data science roadmap alongside the Staff Data Scientist and the Director — including pushing back when a request won't produce value. Partner with Data Champions, the embedded analysts distributed across our business teams, so that data science output gets adopted rather than just delivered. Work with the Data Platform team to validate data quality and the reliability of upstream data products. Requirements 4–7 years of professional experience in data science, applie

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