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Principal Data Scientist

Posted a month ago

  • London, Greater London
  • Any
  • External
  • Expires In 2 months
Excited about this role, but not sure if you meet 100% of the criteria? Employers would still love to hear from you. 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.CompensationAt Atlassian, we strive to design equitable, explainable,and competitive compensation programs. To support this goal, the baseline of our range is higher thanthat of the typical market range, but in turn we expect to hire most candidates near this baseline.Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.In the United States, we have three geographic pay zones. For this role, our current base pay rangesfor new hires in each zone are:Zone A: $201,300 - $268,400Zone B: $181,200 - $241,600Zone C: $167,100 - $222,800This role may also be eligible for benefits, bonuses, commissions, and equity.Please visit go.atlassian.com/payzones
for moreinformation on which locations are included in each of our geographic pay zones. However, please confirmthe zone for your specific location with your recruiter.Required Qualifications8+ Years of Experience in Data Science or related fieldsProficiency 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 handExperience driving projects or programs which have had proven impact on business strategy and performance through your analytics skillsA proven track record for crafting analysis into well-written contentExperience advising, presenting to and serving as a thought partner to senior executives
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