About the job
At ClassDojo, we aspire to provide every child on Earth with an education they truly love.
Our journey began with the creation of a dynamic communication network. ClassDojo’s flagship application stands as the foremost communication tool linking K-12 educators, students, and families on a global scale. Teachers utilize it to share daily activities through engaging photos, videos, and messages that make parents feel included. Currently, it is actively utilized in over 95% of schools across the United States, impacting more than 45 million children in 180 countries, supported by a dedicated team of approximately 200 individuals.
We prioritize talent density in our hiring process, bringing together a team of the most skilled, innovative, and entrepreneurial professionals from around the globe, with backgrounds in education and major consumer internet enterprises such as Instagram, Netflix, Dropbox, Stripe, Uber, and Y Combinator. Our aim is to cultivate an environment where top talent thrives, empowering you to perform at your best while playing a pivotal role in shaping the future of education.
Your Role:
As a Staff Data Scientist within our District Go-To-Market (GTM) team, you will lead the analytical efforts that facilitate ClassDojo's district expansion. Collaborating closely with leaders in Sales, Marketing, and Product, you will establish systems, uncover insights, and guide decisions to propel the business forward.
Your responsibilities will encompass everything from raw CRM and product usage data to formulating recommendations that influence our sales strategies, marketing approaches, and prioritization efforts. You will build the necessary infrastructure for your analyses, define quality data standards, and ensure your insights lead to actionable decisions.
At ClassDojo, as a Staff member, you will help set the strategic direction. You will possess significant influence over the operations of the GTM team, with leadership recognizing you as an equal.
Key Responsibilities:
Develop a self-service analytics pipeline for the GTM team.
Currently, our district sales organization relies on multiple conflicting data sources (CRM, product usage, and marketing signals) and conducts ad hoc analyses for basic pipeline inquiries. The objective is to create a singular, reliable reporting model that consolidates all three data sources, establishes standardized GTM metrics, and offers self-service dashboards to allow Sales to monitor pipeline health independently, without needing to submit data requests.
Integrate data-driven insights into GTM decision-making.
You will pinpoint the primary influences on pipeline conversion (e.g., teacher adoption signals, district size, persona engagement) and ensure that data serves as a vital component in shaping GTM strategies.

