Data Scientist, Atlassian

Data Scientist

Atlassian

Location:

Australia, Sydney

Category:

IT - Software Development

Contract Type:

Not provided

Salary:

Not provided

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Job Description:

You will be part of a world-class Data Science team that leverages data to drive insights about our products and customers. The Data Science team partners with Product Managers/Researchers/Data Engineers/Marketers/Privacy and Executive teams to drive and influence. They use a variety of analysis and data-science techniques to understand how Atlassian’s customers engage with our products and communications and, in doing so, identify, design, and measure the success of product investments.

Job Responsibility:

Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work
Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
Define, understand, and test opportunities to improve the products and influence roadmaps through insights and recommendations
Partner with cross-functional teams to inform, influence, and execute strategy decisions
Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends

Requirements:

Bachelor’s degree or equivalent in a STEM field (e.g. statistics, mathematics, physics, econometrics, or computer science)
2+ Years of Experience in Data Science or related fields
Proficiency in SQL OR another data manipulation programming language (e.g. Python, R)
Experience telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker)
Working knowledge of basic statistical concepts (e.g. regressions, A/B tests, clustering, probability) and how to apply them to practical questions
Experience applying your analytics skills to projects which have had impact on business strategy and performance
Ability to craft analysis into well-written content

What we offer:

health coverage
paid volunteer days
wellness resources

Additional Information:

Job Posted:

March 19, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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