Your Future Team

Data Scientists at Atlassian partner with product, engineering, and business teams across multiple domains such as Product Development, Growth, Marketing, and Operations to turn massive amounts of platform data into actionable decisions.

They design and analyze robust experiments, build statistical frameworks, and develop machine learning models to solve complex business challenges and drive product innovation. By defining core success metrics and uncovering user behavior trends, they directly influence product and other business team roadmaps. The data science role combines technical craft with strategic storytelling to empower high-impact decision-making across the entire company.

• Develop data-driven hypotheses to identify new opportunities and apply rigorous statistical methodology to evaluate product experiments, feature rollouts and user behavior.

• Analyze rich user interaction and telemetry datasets to uncover user journey patterns, identify friction points and surface growth opportunities.

• Translate business questions into analytical approaches and communicate results to broad audiences.

• Partner cross functionally with product managers, engineers, designers, data engineers and data scientists to drive decisions.

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

This role may also be eligible for benefits, bonuses, commissions, and equity.

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $124,200 - $162,150

Zone B: $111,780 - $145,935

Zone C: $103,086 - $134,585

Minimum Qualifications

• Currently enrolled full time in a Masters program in Statistics, Mathematics, Physics, Econometrics, Computer Science or Equivalent and graduating by August 2027.

• Proficiency with SQL or other query languages and experience with Python or R for statistical computing, data analysis and predictive modeling.

• Understanding of statistical methods, hypothesis testing, experimental design (A/B testing) or machine learning fundamentals.

• Proficiency in visualization tools (e.g. Streamlit, Tableau, R-shiny) and libraries (e.g. matplotlib, bokeh).

• Demonstrated practical experience through internships, academic research, open-source contributions, or a portfolio of data projects.

• Strong communication skills with the ability to convey quantitative insights to both technical and non-technical teammates.

Preferred Qualifications

• Familiarity with modern AI tools and GenAI workflows (e.g., LLM APIs, AI coding assistants, prompt engineering, building AI agents/skills and/or agent orchestration).

• Familiarity with modern data platforms (e.g., Databricks, Snowflake, BigQuery, Spark) or data transformation tools (e.g., dbt).

• An understanding of the SaaS business model and important metrics.

Benefits & Perks

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