Data Scientist, 2027 Graduate U.S.

Grad, Inc.
Seattle, WA, United States
about 1 month ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Starter
Compensation
$124,200.0 - $162,150.0
Working hours
Regular working hours
Job source

Tech stack

A/B Testing Data Analysis BigQuery Software as a Service Data Infrastructure Data Transformation Data Visualization Query Languages R (Programming Language) Human-Computer Interaction Statistical Hypothesis Testing Python (Programming Language)
+17 more
Machine Learning SQL Databases Computational Statistics Tableau (Software) Large Language Models Snowflake Prompt Engineering Apache Spark AI Coding Agents Agentic-AI Matplotlib Information Technology Atlassian Tools Data Analytics Free and Open-Source Software Streamlit Framework Databricks

Job description

  • 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., 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.

Requirements

  • 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 & conditions

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.

Pay Ranges

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

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