Senior Data Scientist, End-to-End Analytics & ML

Logos; Northern (KY); Hybrid; USD 125,000 - 135,000; Full time

Benefits offered by this job

Medical insurance

Dental & Vision insurance

Paid time off

10 holidays per year

Sabbatical after 10 years

Maternity/paternity leave

401(k) with employer match

Employee recognition program

Job summary

Logos is a purpose-driven tech company that builds data-powered solutions to equip churches worldwide. This role sits in the Analytics team with real ownership, from problem framing to production-ready models, where you decide what methods fit and what isn't worth pursuing.

You will ship data science work as models and features on Databricks, design and interpret experiments, mentor analysts, and partner with data champions and the Data Platform team to ensure trustworthy upstream data and

Qualifications

• 4-7 years of professional experience in data science, applied statistics, or a closely related quantitative field.
• 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.

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.

Skills

SQL

Python or R

Statistics

Experiment design

Communication

Independent ownership

Tools

Databricks

dbt

Job description

Logos is a purpose-driven tech company that builds data-powered solutions to equip churches worldwide. This role sits in the Analytics team with real ownership, from problem framing to production-ready models, where you decide what methods fit and what isn't worth pursuing.

You will ship data science work as models and features on Databricks, design and interpret experiments, mentor analysts, and partner with data champions and the Data Platform team to ensure trustworthy upstream data and