• 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.