Data Scientist, 2027 Graduate U.S

About the Role

Atlassian's Grad++ program offers hands-on technical training, professional growth, mentorship, and social connections for students. This role is located in the Seattle hub and requires the ability to work from this location. F1 and J1 students, and any work sponsorship, are not eligible for this position.

Data Scientists at Atlassian collaborate with product, engineering, and business teams to transform platform data into actionable decisions. They design and analyze experiments, build statistical frameworks, and develop machine learning models to address business challenges and drive product innovation. This role influences product and business roadmaps by defining success metrics and uncovering user behavior trends, combining technical expertise with strategic communication for high-impact decision-making.

Key Responsibilities

• Develop data-driven hypotheses to identify opportunities and apply rigorous statistical methods to evaluate product experiments, feature rollouts, and user behavior.
• Analyze 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 diverse audiences.
• Partner cross-functionally with product managers, engineers, designers, data engineers, and data scientists to drive decisions.

Requirements & Tech Stack

• SQL or other query languages
• 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
• Visualization tools (e.g., Streamlit, Tableau, R-shiny) and libraries (e.g., matplotlib, bokeh)
• Modern AI tools and GenAI workflows (e.g., LLM APIs, AI coding assistants, prompt engineering, building AI agents/skills and/or agent orchestration) Preferred
• Modern data platforms (e.g., Databricks, Snowflake, BigQuery, Spark) or data transformation tools (e.g., dbt) Preferred
• Understanding of the SaaS business model and important metrics Preferred

Qualifications

• Currently enrolled full-time in a Master's program in Statistics, Mathematics, Physics, Econometrics, Computer Science, or Equivalent, graduating by August 2027.
• 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.