Senior Data Scientist, Economy Analytics (Distribution Network)

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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Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the 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.
Atlassian helps teams everywhere change the world and our software is used by more than half of the Fortune 100 companies, connecting people with content and co-workers they need to get their jobs done, faster. Our products are revolutionising the software industry and helping teams collaborate and craft the magic that delivers their best work. Think NASA launching the Rover on Mars or Cochlear gifting those born deaf with the ability to hear, your work directly impacts the products they use to advance humanity!
Do you have a passion for directing product roadmap with data? Do you love finding the next big ‘aha’ which changes the way a business thinks about its customers and products? Would you like to drive real change, with global impact at the HQ of the world's hottest SaaS company?
We'd love you to join us!
We are looking for a Senior Data Scientist to join our Economy Analytics team. We’re seeking someone with strong business instincts, creativity and analytics mastery, who is passionate about applying these skills to build data and analytics foundations that drive smarter product decisions and ultimately, delight our customers.
At Atlassian, we are taking our next big swing towards our 100 million MAU company goal by building out a distribution network of our products, along with products built outside of Atlassian, united by a single mission to make teams more productive. You’ll be part of newly formed, multidisciplinary Distribution Network team that aims to connect people to relevant, exceptional software.

In this role, you'll get to:

  • Design targeted explorations of our seriously big data, in order to understand trends, find opportunities and make recommendations to improve user journeys and customer value
  • Drive the measurement culture and understand the impact our distribution strategy
  • Envision, scope, and execute projects by collaborating with partners, customer research, data engineers, ML platform and other data scientists
  • Design and analyse experiments that allow fast iterations of learning in order to build a distribution network from ground up
  • Be part of building an outstanding analytics culture at Atlassian. 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 the first day, we'll expect you to have:

  • Proven experience applying your analytics skills to projects which have had a positive impact on company level business and product decisions
  • A growth mindset, appreciating the benefit of constant iteration and improvement
  • A very high bar for output quality, balancing “having something now" vs. "perfection in the future"
  • Strong ability to communicate, explaining complex concepts to diverse audiences, and crafting compelling stories
  • Familiarity working with Product Management, Engineering, Design, Customer Research and Data Engineering teams
  • Expertise in data manipulation and statistical programming languages (e.g. SQL, R, Python), and knowledge of cloud data environments (e.g. AWS)
  • Experience in using statistics as part of your role (e.g. experiment design, forecasting, regression, decision tree learning, clustering)
  • Proficiency in at least one visualisation tool (e.g. Tableau, R-Shiny)
  • A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, actuarial science, or computer science)

It's a bonus, but not required, if you have:

  • Previously worked in global teams and high growth companies
  • An understanding of ad-tech products, marketplace business model and metrics
  • Experience in customer and/or product analytics, particularly in delivering outputs that can be used to advance analytics projects across an organisation
  • Experience in building ETL pipelines using any tools or scripting languages
  • Are an active member of the broader analytics and data science community
  • Advanced degree in Computer Science, Math or Statistic
More about our benefits
Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.
More about Atlassian
Creating software that empowers everyone from small startups to the who’s who of tech is why we’re here. We build tools like Jira, Confluence, Bitbucket, and Trello to help teams across the world become more nimble, creative, and aligned—collaboration is the heart of every product we dream of at Atlassian. From Amsterdam and Austin, to Sydney and San Francisco, we’re looking for people who want to write the future and who believe that we can accomplish so much more together than apart. At Atlassian, we’re committed to an environment where everyone has the autonomy and freedom to thrive, as well as the support of like-minded colleagues who are motivated by a common goal to: Unleash the potential of every team.
Additional Information
We believe that the unique contributions of all Atlassians is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
Atlassian is committed to providing reasonable accommodations to all individuals participating in the application and interview process, and while performing job functions. Please note that you will have the opportunity to request accommodations at each stage of the assessment process. To request accommodations before scheduling an interview, please reach out to atlassian-accommodations@atlassian.com and someone will follow up shortly.
All your information will be kept confidential according to EEO guidelines.
If your experience looks a little different from what we’ve identified and you think you can rock the role, we’d love to learn more about you.
Learn more about Atlassian’s culture, interviewing flow, and hiring process by checking out our Candidate Resource Hub.

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

Tags: AWS Big Data Bitbucket Computer Science Econometrics Engineering ETL Jira Machine Learning Mathematics Physics Pipelines Python R Research SQL Statistics Tableau

Perks/benefits: Career development Flex hours Flex vacation Salary bonus Startup environment Travel

Region: Asia/Pacific
Country: Australia
Job stats:  1  0  0

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