Senior Data Scientist
Listed on 2026-01-03
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IT/Tech
Data Analyst, Data Science Manager
Overview
Analytics & Data Science | San Francisco, United States | Remote, Remote
Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
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. 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.
Inthis 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.
- 5+ 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, Micro Strategy, SAP Business Objects, Looker, etc.)
- Experience in applying statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems
- Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
- Ability to craft analysis into well-written and persuasive content
- 7+ Years of Experience in Data Science or related fields OR 5+ Years of experience in Data Science along with a post-graduate degree or equivalent in a related field
- An understanding of the SaaS business model and key metrics
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that 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 ranges for new hires in each zone are:
Zone A: $175,500 - $229,125
Zone B: $158,400 - $206,800
Zone C: $145,800 - $190,350
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit 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.
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
About AtlassianAt 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…
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