You have opted out of job matches in .
To undo this, go to the 'Skills and Interests' section of your preferences.
Shared by 
about 2 months ago
Requirements and responsibilities
About the roleClassDojo’s goal is to give every child on Earth an education they love. 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.What you’ll doBuild a pipeline analytics system the GTM team can use on their own.Integrate CRM, product usage, and marketing signals into a single reliable reporting model with standardized GTM metrics and self-serve dashboards so Sales can check pipeline health without filing a data request.Make data a genuine input to GTM decisions.Identify key drivers of pipeline conversion (e.g., teacher adoption signals, district size, persona engagement), build models that predict deal likelihood, and run structured experiments with Sales and Marketing that measurably change how the team operates.Make core B2B datasets reliable enough to build on.Clean and structure fragmented, inconsistently defined CRM, marketing, and product datasets into stable analytical models with documented definitions; identify instrumentation gaps and resolve them with engineering; create a foundation for new GTM analytics workstreams.Work alongside District GTM leadership as a trusted analytical partner.Translate ambiguous business questions into clear analytical approaches, communicate findings directly, and inform long-term decisions about how and where we grow.Our stack includes the following technologies:Salesforce (CRM), SQL, dbt, Amazon Redshift, Metabase, Airflow, GitHubWhat we’re looking forBusiness judgment: identify what matters in a dataset, ask sharp questions, connect analytical results to concrete GTM actions, and make sound calls when data is incomplete.Comfort with messy B2B data: debug inconsistent Salesforce datasets, design robust pipelines despite imperfect inputs, and propose structural fixes upstream.Analytical problem solving: turn ambiguous business questions into structured analytical plans; design and analyze experiments; apply statistical reasoning; build models that improve how decisions get made.Data engineering fluency: own your own infrastructure—build and maintain pipelines, dbt models, and analytical systems; operationalize analysis without relying on a separate engineer; fix instrumentation bottlenecks.Communication and influence: communicate clearly to non-technical audiences, simplify complex problems into plain explanations, and build cross-functional alignment so analysis gets used.Structured, reusable thinking: build frameworks others can pick up and apply; connect findings to broader GTM strategy so work compounds over time.You will be a match if:You have 8+ years in data science or analytics.You’re 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.Bonus:You have experience in a startup or high-growth environment.You are familiar with experimentation design and analysis in a GTM context.You have exposure to product analytics alongside sales data.You have background in education technology or mission-driven organizations.More contextClassDojo is a distributed company, so they hire regardless of location, as long as you’re willing to have significant hours overlap with one of the Americas time zones.Compensation is based on geographic location, experience, and skillset. Salary ranges (United States): CA, WA, NY, NJ, CT states: $205,000 - $245,000 (USD); all other states in the US: $174,500 - $208,500 (USD).
Optionally, you can add more information later (benefits, pre-screening questions, etc.)