[Hiring] Staff Data Scientist @ClassDojo

Role Description

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 do:

• Build a pipeline analytics system the GTM team can use on their own.
• Make data a genuine input to GTM decisions.
• Make core B2B datasets reliable enough to build on.
• Work alongside District GTM leadership as a trusted analytical partner.

Our stack includes the following technologies:

• Salesforce (CRM)
• SQL
• dbt
• Amazon Redshift
• Metabase
• Airflow
• GitHub

Qualifications

• 8+ years in data science or analytics
• Familiarity with SQL and modern analytics tooling (dbt, Redshift / Snowflake / BigQuery)
• Experience working with CRM systems (Salesforce strongly preferred)
• Experience analyzing B2B SaaS sales pipeline, funnel, or revenue operations data
• Track record of producing data work that changed how a team made decisions
• Experience working alongside GTM or product teams as a peer

Requirements

• Business judgment: Identify what actually matters in a dataset and why it matters for the business.
• Comfort with messy B2B data: Treat constraints as normal and debug messy datasets.
• Analytical problem solving: Turn ambiguous business questions into structured analytical plans.
• Data engineering fluency: Own your own infrastructure and operationalize your analysis.
• Communication and influence: Communicate analytical ideas clearly to non-technical audiences.
• Structured, reusable thinking: Build frameworks that connect individual findings to broader GTM strategy.

Benefits

• Equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
• Accommodations for disabilities or special needs.
• Distributed company hiring regardless of location with significant hours overlap with one of the Americas time zones.
• Compensation considerations include 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)