Job Details

Senior Sales Data Scientist

  2025-09-13     Atlassian     San Francisco,CA  
Description:

Overview

Senior Sales Data Scientist role at Atlassian.

We are looking for a sharp, analytically-minded Data Scientist to join our Sales & Success Strategy team and accelerate Atlassian's transformation across AI adoption and growth of our Collections (Teamwork, Service, Strategy, and Software). This is a high-impact role designed for someone who can blend analytical depth, business fluency, and data engineering capabilities.

Responsibilities

  • Advanced GTM Analytics & Modeling: 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.
  • Insight Generation & Storytelling: 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.
  • Cross-Functional Business Partnership: Partner with Product GTM, Sales, Customer Success, and Enablement teams to shape initiatives, define KPIs, and monitor execution.
  • Use Salesforce and Gainsight data to analyze customer health, usage signals, and expansion likelihood to inform CSM and AE plays.

Qualifications

  • 4–7 years in data science or GTM analytics roles in SaaS or high-growth tech.
  • 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.
  • Excellent communication and synthesis skills—able to translate data into clear recommendations.
  • 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.

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. The baseline of our range is higher than the typical market range, and we hire near this baseline. Base pay within the range is determined by a candidate's skills, expertise, or experience. In the United States, the current base pay ranges for new hires in each geographic zone are:

  • Zone A: $149,400 - $195,050
  • Zone B: $135,000 - $176,250
  • Zone C: $124,200 - $162,150

This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on locations included in each zone. Confirm your zone with your recruiter.

Benefits & Perks

At Atlassian offers a wide range of perks and benefits designed to support you and your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. We can support accommodations or adjustments at any stage of the recruitment process. For more about our culture and hiring process, visit go.atlassian.com/crh.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: Software Development

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