Senior Data Scientist

Sydney, Australia

Applications have closed

Atlassian

Atlassian's team collaboration software like Jira, Confluence and Trello help teams organize, discuss, and complete shared work.

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Working at Atlassian
Atlassian can hire people in any country where we have a legal entity. Assuming you have eligible working rights and a sufficient time zone overlap with your team, you can choose to work remotely or return to an office as they reopen (unless it’s necessary for your role to be performed in the office). Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
With a sufficient timezone overlap with the team, we're able to hire eligible candidates for this role from any location in Australia and New Zealand. If this sparks your interest, apply today and chat with our friendly Recruitment team further.
We’d love you to join us!
Do you have a passion for crafting products and insights with data? Do you love finding the next big ‘aha’ insight which changes the way a business thinks about their customers? Would you like to drive real change with global impact at the HQ of the world's hottest SaaS company?
Atlassian is looking for Senior Data Scientists to join our team. We’re seeking people with strong business instincts, creativity, and analytics mastery, who is passionate about applying these skills to drive smarter product decisions and ultimately, delight our customers.
As well as being an integral part of a stakeholder team, you’ll also be a valued member of the Analytics and Data Science team. Your peers will rely on your expertise and you will help drive initiatives that keep Atlassian at the forefront of world-class in analytics and data science. 

In this role, you'll get to:

  • Work with stakeholders and leaders to identify high impact opportunities for analytics, and align analytics & data science priorities with our stakeholder’s roadmap and strategy
  • Play with our seriously large volume of data to understand insightful trends and employ these insights to intelligently to improve user journeys and customer value
  • Drive the measurement culture and understand the impact of our stakeholder’s strategy; including designing and analysing experiments and feature launches
  • Envision, scope, and execute projects by collaborating with partners, customer research, data engineers and other Data Scientists
  • Share your high-quality insights and recommendations to various levels of leadership to drive critical business decisions and shape overall company strategies
  • Foster a world-class analytics culture, leading by example, through education and creation of self-service tools, to make a lasting change in how your partners use data to make decisions

On your first day, we'll expect you to have:

  • Proven experience applying your analytics skills to drive projects which have had demonstrated impact on strategic and product roadmap decisions
  • A strong ability to communicate, demonstrated through explaining complex concepts to diverse audiences and crafting compelling stories
  • Project management & prioritisation experience; preferably with Data Engineering, Product Management, Research and Engineering teams
  • An agile development mindset, appreciating the benefit of constant iteration and improvement. A very high bar for output quality, while balancing “having something now" vs. "perfection in the future"
  • Expertise in SQL and proficiency in another data programming language (Python, R, etc.)
  • Proficiency in at least one visualisation tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects)
  • A degree in a quantitative discipline (e.g. statistics, mathematics, physics, econometrics, or computer science)

It's great, but not essential, if you have:

  • Previously worked in global teams and high growth companies
  • An understanding of the SaaS development, business model and metrics
  • Experience in building ETL pipelines using any tools or scripting languages
  • Experience contributing to the broader data community, through meetups, conference attendance, open-source library contribution, or other roles
  • Advanced degree in Computer Science, Math or Statistics

More about our teamThe Analytics teams at Atlassian is tasked to derive insights and inform better decision making from our rich datasets across user behavioural, products and customer data. We aim to positively impact the way our stakeholders shape their roadmaps and better improve our customers experiences. The teams are highly collaborative across all functions with a high bar for rigorous analyses, having fun along the way.
We currently have multiple opportunities across the Data & Analytics team for Senior Data Scientist so please reach out if you are interested on hearing more.
Our perks & benefits
To support you at work and play, our perks and benefits include ample time off, an annual education budget, paid volunteer days, and so much more.
About Atlassian
The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To learn more about our culture and hiring process, explore our Candidate Resource Hub.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Computer Science Econometrics Engineering ETL Mathematics Physics Pipelines Python R Research SQL Statistics Tableau

Perks/benefits: Career development Startup environment Travel

Region: Asia/Pacific
Country: Australia
Job stats:  14  3  0
Category: Data Science Jobs

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