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Data Scientist, 2027 Graduate U.S.

Role overview

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).

Responsibilities

  • 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.

Key facts

Hard skills

Other skills

  • Communication

About the company

Atlassian logo

Atlassian

Computer Software / SaaS

We're a team of 7000+ Atlassians supporting an international group of 170,000+ customers. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned.

Company details

Company typeLarge
IndustryComputer Software / SaaS
Company size10001

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Job description

Working at Atlassian

Atlassians have the flexibility to work where they can collaborate most effectively with their team, whether at home, one of our global offices, or both. We hire in any country where we have a legal entity. Learn how we work at go.atlassian.com/distributed.

Your Future Org

Atlassian’s Grad++ program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections. This holistic approach empowers students to hit the ground running and sets them up for a successful and impactful career at Atlassian!

This is a hybrid role located in Seattle, WA. You must be willing and able to work out of this location to qualify.

This position is not eligible for F1 and J1 students. It is not available for any work sponsorship.

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.

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.

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 believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, 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.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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