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 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.
- Mentor analysts and less experienced team members, and contribute to code review and team standards.
- Keep documentation and reproducible code current enough that a colleague could pick up your work without you in the room.
Requirements
- 4–7 years of professional experience in data science, applied statistics, or a closely related quantitative field.
- A track record of owning projects independently, from ambiguous ask through delivered result, without daily oversight.
- 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.
- Strong SQL and fluency in Python or R.
- Solid grounding in statistics and experimental design, including knowing the limits of what a given test can tell you.
- The judgment to prioritize: deciding what to work on, what to defer, and what to decline.
- Excellent communication skills, with the ability to explain technical work to non-technical audiences and to hold your position when the data supports it.
Preferred Requirements:
- Experience as the only data scientist — or one of very few — on a team, where you had to operate without a technical safety net.
- Hands-on experience with Databricks and dbt.
- Exposure to production ML systems, recommendation engines, or MLOps practices.
- Experience in a subscription or SaaS business, particularly around churn, retention, and usage analytics.
- Familiarity with a data mesh or distributed analytics operating model.
*Why This Role
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.
Benefits
- Competitive family medical, dental, vision, and life insurance
- 3 company-paid holidays per year in addition to regular holidays
- 4 days of paid time off (PTO) per year
- Paid time off (PTO) on your birthday
- Law benefits (15-day Christmas bonus, vacation days established by law, 25% vacation bonus)
- Awards and recognition program