Principal Data Scientist – Product Performance

Full time @Atlassian in Information Technology (IT)
  • San Francisco | Remote, Remote | View on Map
  • Post Date : May 30, 2025
  • Apply Before : June 13, 2025
  • 0 Application(s)
  • View(s) 3
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Job Detail

  • Job ID 24113
  • Experience  8 Years +
  • Qualifications  Degree Bachelor
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Job Description

“Your future team

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 closely with Product Managers/Engineers/Researchers/Data Engineers/Marketers/Privacy and Executive teams across Atlassian to drive and influence. The team is responsible for using 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.

In this role, you will:

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 business 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.

You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.

You will use storytelling techniques to communicate insights broadly, including to company leadership teams.

Minimum Qualifications / Your background:

8+ Years of Experience in Data Science or related fields

Proficiency in SQL AND another data manipulation programming language (e.g Python, R)

Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)

Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand

Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills

A proven track record for crafting analysis into well-written content

Experience advising, presenting to and serving as a thought partner to senior executives

Desirable Qualifications:

10+ Years of Experience in Data Science or related fields

An understanding of the SaaS business model and key metrics

Expertise in analyzing, forecasting, and explaining business performance, and delivering actionable insights and recommendations to executive audiences

Strong track record of partnering with stakeholders across Data Science and cross-functional teams to drive alignment and business impact

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Required skills

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