Staff Data Scientist, District GTM

ClassDojo•San Francisco, CA

22h•$174,500 - $245,000•Remote

About The Position

ClassDojo's goal is to give every child on Earth an education they love. We started by building a powerful network for communication. ClassDojo’s flagship app is the #1 communication app connecting K-12 teachers, children, and families globally. Teachers use it to share what’s happening throughout the day through photos, videos, and messages that make parents feel like they’re there. It’s actively used in over 95% of US schools, reaching over 45 million children in 180 countries, with a team of just around 200 people [1]. We are now beginning to use this network to give kids the best learning experiences in the world, far beyond those a standard school can provide. We hire for talent density. Our team comprises the most talented, entrepreneurial, and innovative teammates from around the world, with experience in education and large scale consumer internet companies, including Instagram, Netflix, Dropbox, Stripe, Uber, Y Combinator, and more. We’re building a company where the most talented people want to work. We believe you’ll do the best work of your life here—and you’ll pioneer the future of education, too. The Role: As a Staff Data Scientist embedded with our District GTM team, you'll own the analytical work supporting ClassDojo's district growth. You'll work directly with Sales, Marketing, and Product leadership to build the systems, find the insights, and inform the decisions that move the business forward. The scope runs from raw CRM and product usage data through to the recommendations that shape how we sell, market, and prioritize. You'll build the infrastructure your work depends on, define what good data looks like, and make sure the analysis actually reaches decisions. At ClassDojo, Staff means setting the direction. You'll have real influence over how the GTM team operates, with leadership treating you as a peer.

Requirements

Business judgment You identify what actually matters in a dataset and why it matters for the business. You ask sharp questions that surface the real problem, connect analytical results to concrete GTM actions, and make sound calls when the data is incomplete.
Comfort with messy B2B data District GTM data arrives from multiple systems with inconsistent definitions and incomplete coverage. You treat that as a normal constraint. You can debug a messy Salesforce dataset, design robust pipelines despite imperfect inputs, and propose structural fixes when the problem is upstream.
Analytical problem solving You can take an ambiguous business question and turn it into a structured analytical plan. You design and analyze experiments, apply statistical reasoning to draw conclusions, and build models that improve how decisions get made.
Data engineering fluency Staff DS at ClassDojo means owning your own infrastructure. You can build and maintain the pipelines, dbt models, and analytical systems your work depends on, and operationalize your analysis without relying on a separate engineer. You know when instrumentation is the bottleneck and can fix it.
Communication and influence You communicate analytical ideas clearly to non-technical audiences, simplify complex data problems into plain explanations, and build enough cross-functional alignment that the analysis actually gets used.
Structured, reusable thinking You build frameworks that others can pick up and apply, connecting individual findings to broader GTM strategy. Your work compounds over time rather than sitting in a one-off report.
You have 8+ years in data science or analytics
You are familiar with SQL and modern analytics tooling (dbt, Redshift / Snowflake / BigQuery)
You have experience working with CRM systems (Salesforce strongly preferred)
You have experience analyzing B2B SaaS sales pipeline, funnel, or revenue operations data
You have a track record of producing data work that changed how a team made decisions
You have experience working alongside GTM or product teams as a peer