Atlassian is looking to accelerate its transformation across AI and Rovo adoption and growth of its Collections (Teamwork, Service, Strategy, and Software) by hiring a Sales Data Scientist to provide analytical depth, business fluency, and data engineering capabilities.
Requirements
- Proficiency in Databricks, SQL, Python, and strong visualization skills in Tableau/Looker.
- Experience building and interpreting models (e.g., propensity, clustering, churn risk, lookalikes).
- Familiarity with Salesforce, Clari, Gong, and other Sales Tech tools.
- Experience working on AI product adoption, Sales transformation, or customer expansion strategies preferred.
- Familiarity with Atlassian’s GTM motion or similar PLG-driven SaaS business preferred.
- Background in sales performance and analytics is a plus preferred.
Responsibilities
- Build and operationalize propensity models, lookalike targeting, cohort analysis, and other advanced analytics to drive strategic segmentation and GTM prioritization.
- Analyze product adoption (e.g., Rovo agents, JSM usage) to surface patterns and leading indicators of success.
- Collaborate with Sales Strategy and Marketing teams to deploy data-backed targeting and messaging strategies.
- Run analysis using SQL, Python, Databricks, and visualize insights with Tableau or Looker.
- Identify trends in pipeline health, renewal performance, AI feature usage, and expansion motion effectiveness.
- Communicate findings in crisp, business-relevant terms to Sales and Product stakeholders.
- Use Salesforce and Gainsight data to analyze customer health, usage signals, and expansion likelihood to inform CSM and AE plays.
Other
- 4–7 years in data science or GTM analytics roles in SaaS or high-growth tech.
- Excellent communication and synthesis skills—able to translate data into clear recommendations.
- Partner with Product GTM, Sales, Customer Success, and Enablement teams to shape initiatives, define KPIs, and monitor execution.
