
501 - 1000 employees
Founded 2016
📱 Media
⚽ Sports
Media • Sports
The Athletic is a sports media company known for comprehensive sports coverage and in-depth reporting across various sports such as football, tennis, Formula 1, golf, MLB, NFL, NBA, NHL, and college sports. It provides high-quality articles, live updates, and expert analysis covering significant events and players in the sports world. The platform features content on various leagues and tournaments, providing insights from well-known journalists and analysts. The Athletic aims to set the standard in sports reporting and offers subscription-based access to its content.
🕒 October 6
🌐 United States, Canada – Remote
💵 $125k - $145k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
📊 Data Scientist
🚫👨🎓 No degree required
👻 Ghost score 1%
Where this job comes from
Posted on The Athletic's careers page, not through a job board
First seen by Remote Rocketship October 6
Still open on The Athletic's site. Checked 6 hours ago.

501 - 1000 employees
Founded 2016
📱 Media
⚽ Sports
Media • Sports
The Athletic is a sports media company known for comprehensive sports coverage and in-depth reporting across various sports such as football, tennis, Formula 1, golf, MLB, NFL, NBA, NHL, and college sports. It provides high-quality articles, live updates, and expert analysis covering significant events and players in the sports world. The platform features content on various leagues and tournaments, providing insights from well-known journalists and analysts. The Athletic aims to set the standard in sports reporting and offers subscription-based access to its content.
• Develop advanced machine learning models to understand the business, optimize and automate workflows, and improve product recommendations • Design, build, and implement mathematical models for long-term product goals, such as predicting free-user subscriptions and recommending articles • Lead projects with hands-on analysis and modeling, selecting appropriate analytical methods and complexity • Use quantitative analysis to understand user feedback and develop recommendations • Design and develop data science pipelines in production • Guide complex experiments • Cultivate an outstanding data science environment • Collaborate closely with data, product, growth, and engineering teams
• 2-4 years of experience as a data scientist or data analyst with a proven ability to apply scientific methods to solve real-world problems on web scale data • Strong working knowledge of Python and how to use it to train machine learning models and put them into production • Solid understanding of SQL with an ability to efficiently pull and write to data warehouses • Understanding of subscription media and recommendation engines, with the ability to turn it into insights and optimizations • Knowledge of statistical principles and how they apply to predictive modeling • Strong verbal and written communication skills with ability to build cross-functional relationships • Ability to explain sophisticated concepts to diverse audiences and craft compelling stories with data
• Variable pay, such as an annual bonus • Restricted stock • Medical benefits • Dental benefits • Vision benefits • Flexible Spending Accounts (F.S.A.s) • Company-matching 401(k) plan • Paid vacation • Paid sick days • Paid parental leave • Tuition reimbursement • Professional development programs
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