Remote Data Scientist — Subscriber Analytics & ML

The Athletic; United States; Remote; USD 125,000 - 145,000; Full time

Job summary

The Athletic is seeking a data scientist to blend sports insight with advanced analytics. You will collaborate with data, product, growth, and engineering to build and deploy machine learning models that understand subscriber behavior, optimize workflows, and improve recommendations.

The role is 100% remote for US/Canada-based candidates. Ideal candidates have 2-4 years of experience in data science or analytics, strong Python and SQL skills, and the ability to communicate complex results to

Qualifications

• 2-4 years of experience as a data scientist or data analyst.
• Strong working knowledge of Python to train models and put them into production.
• Solid understanding of SQL and data warehouses.
• Knowledge of subscription media and recommendation engines, with the ability to generate insights.
• Knowledge of statistical principles as they apply to predictive modeling.
• Strong verbal and written communication with cross-functional collaboration.
• Ability to explain complex concepts to diverse audiences and tell data-driven stories.

Responsibilities

• Design, build, and implement mathematical models to drive long-term product goals.
• Lead projects with hands-on analysis and modeling, choosing appropriate methods.
• Use quantitative analysis to understand user signals and derive recommendations.
• Design and develop data science pipelines in production.
• Guide complex experiments.
• Foster an outstanding data science environment.

Skills

Python

SQL

Data analysis

Communication

Job description

The Athletic is seeking a data scientist to blend sports insight with advanced analytics. You will collaborate with data, product, growth, and engineering to build and deploy machine learning models that understand subscriber behavior, optimize workflows, and improve recommendations.

The role is 100% remote for US/Canada-based candidates. Ideal candidates have 2-4 years of experience in data science or analytics, strong Python and SQL skills, and the ability to communicate complex results to