07 sep
|
Logos
|
Miguel Hidalgo
07 sep
Logos
Miguel Hidalgo
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. Based in Bellingham, Washington, Logos also has operations in Chandler, Arizona and Puebla, Mexico.
About the Role
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.
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.
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.
Responsibilities
- 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.
- Design, run, and interpret experiments, including hypothesis formulation, sizing, and honest reads on inconclusive results.
- Build and maintain predictive models and analytical pipeline
📌 Data Scientist (Miguel Hidalgo)
🏢 Logos
📍 Miguel Hidalgo