Data Scientist

• We are looking for a data scientist who will bring a deep understanding of our sportswriting, our in-game experience, and the way our subscribers use The Athletic to help us make our best-in-class product even better
• In this role, you will work closely with our data, product, growth, and engineering teams to develop advanced machine learning models
• These models will help us understand our business, optimize and automate our workflows, and have our product make smarter recommendations
• As a member of our data science team, your work will have a significant impact at The Athletic
• Design, build, and implement mathematical models to drive key long-term product goals, like training a model that predicts which of our free users are most likely to subscribe, or recommending the right articles to the right users at the right time
• Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods to choose the right tool and right level of complexity appropriate for the job
• Use quantitative analysis to deeply understand what our users are saying, and to develop recommendations based on that analysis
• Design and develop data science pipelines in production
• Guide complex experiments
• Cultivate an outstanding data science environment

Benefits

• Paid Time Off
• Paid Sick Leave
• Paid Parental Leave
• 401 (k)
• Short & Long Term Disability
• Free Subscription
• Competitive Health Care
• HSA & FSA
• Commuter Benefits

• An understanding of subscription media and recommendation engines, with the ability to turn it into insights and optimizations
• Can explain sophisticated concepts to diverse audiences and craft compelling stories with data
• 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
• A strong working knowledge of Python and how to use it to train machine learning models and put them into production
• Knowledge of statistical principles and how they apply to predictive modeling
• Strong verbal and written communication skills with ability to build cross-functional relationships
• A solid understanding of SQL with an ability to efficiently pull and write to our data warehouses