Remote Data Scientist: ML & Recommendations for Subscriptions

Remote; San Francisco (CA); Remote; USD 120,000 - 180,000; Full time

Job summary

The Athletic is seeking a data scientist to help advance our in-game experience and subscriber engagement through advanced machine learning models. You will collaborate with data, product, growth, and engineering teams to understand business needs, optimize workflows, and deliver smarter recommendations.

This role is 100% remote for candidates based in the United States or Canada, with opportunities to influence product direction and subscriber insights across the organization.

Qualifications

• 2-4 years of experience applying scientific methods to real-world problems on web-scale data.
• Strong working knowledge of Python to train ML models and productionize them.
• Solid understanding of SQL and data warehouses.

Responsibilities

• Design, build, and implement mathematical models to drive long-term product goals.
• Lead projects with hands-on analysis and modeling, selecting appropriate methods.
• Use quantitative analysis to understand user behavior and develop data-driven recommendations.
• Design and develop data science pipelines for production environments.
• Guide complex experiments and foster an outstanding data science culture.
• Collaborate with data, product, growth and engineering teams to impact the product.

Skills

Python

SQL

Machine learning

Data analysis

Job description

The Athletic is seeking a data scientist to help advance our in-game experience and subscriber engagement through advanced machine learning models. You will collaborate with data, product, growth, and engineering teams to understand business needs, optimize workflows, and deliver smarter recommendations.

This role is 100% remote for candidates based in the United States or Canada, with opportunities to influence product direction and subscriber insights across the organization.