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About the Role

Data Scientists at Atlassian partner with product, engineering, and business teams to transform platform data into actionable decisions. They design experiments, build statistical frameworks, and develop machine learning models to solve business challenges and drive product innovation. This role is part of the Grad++ program, offering hands-on training, professional growth, mentorship, and social connections.

Responsibilities

Develop data-driven hypotheses to identify new opportunities.
Apply rigorous statistical methodology 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.
Communicate results to broad audiences.
Partner cross-functionally with product managers, engineers, designers, data engineers, and data scientists to drive decisions.

Requirements

Currently enrolled full-time in a Masters program in Statistics, Mathematics, Physics, Econometrics, Computer Science or Equivalent, graduating by August 2027.
Proficiency with SQL or other query languages.
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.
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.

Skills

SQL
Python
R
Statistical computing
Data analysis
Predictive modeling
Statistical methods
Hypothesis testing
Experimental design
A/B testing
Machine learning fundamentals
Visualization tools
Streamlit
Tableau
R-shiny
matplotlib
bokeh
AI tools
GenAI workflows
LLM APIs
AI coding assistants
Prompt engineering
AI agents
Agent orchestration
Data platforms
Databricks
Snowflake
BigQuery
Spark
Data transformation tools
dbt
SaaS business model
Communication skills

Location

Seattle hub

Work Type

Distributed
Hybrid

Experience Level

Masters program
Grad++ program

Education Level

Masters

Salary/Compensations

Zone A: $124,200 - $162,150
Zone B: $111,780 - $145,935
Zone C: $103,086 - $134,585

Benefits

Health and wellbeing resources
Paid volunteer days

About the Company

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.

Equal Opportunity

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 with accommodations or adjustments at any stage of the recruitment process.