Identifying patterns that drive meaningful engagement, and building data models that tie those patterns to conversion outcomes
Build models that estimate how stories may perform based on topic and format, and use those signals to support editorial planning and story budgeting
Identify and quantify meaningful relationships between user behaviors and outcomes such as return visits and membership
Build and improve models to improve the member experience and grow revenue
Improve campaign targeting and email/newsletter performance through segmentation and modeling
Provide guidance on experiment design and evaluate results, ensuring tests are statistically sound and insights are accurately interpreted and applied
Quantify how product changes impact user experience
Build user-level datasets and tools that support content recommendations, audience segmentation, and targeted product experiences on owned channels
Work with analytics and engineering to support modeling and segmentation
Drive adoption of models and outputs across teams
Identify where data science can meaningfully improve decisions and lead the development of solutions to address those gaps.

Strong SQL skills and experience working with messy and large datasets
Proficiency in Python or R for data analysis and modeling
Experience building and applying predictive models in real-world settings
Strong foundation in statistics, including experimentation (A/B testing) and interpreting results
Experience working with user-level behavioral data (pageviews, sessions, event data)
Ability to communicate results clearly and influence decisions
Interest in exploring how AI can support analysis and improve internal workflows
Experience in media, publishing, nonprofit, or subscription-based organizations

Data Scientist

Key skills