Senior Data Scientist (Agile), Product Analytics

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 is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. All new and existing Atlassians will continue to work from home until it’s safe to return to our offices. When our offices re-open, we will provide the choice to work from home or return to work in an office unless a job requirement makes it necessary for a particular role to be performed at an Atlassian office.
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 crafting products and insights with data? Do you love finding the next big ‘aha’ 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 a Senior Data Scientist to join our Product Analytics team in Sydney, Australia. We’re seeking someone 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.
You’ll be part of Atlassian’s multi-discipline Agile product organisation whose mission is to enable our customers to connect every dimension of their work with greater visibility, organisation, and impact through our industry leading Jira Software.

In this role, you'll get:

  • Work with other product leaders to identify high impact opportunities for analytics, and align analytics & data science priorities with the product roadmap and strategy
  • Play with our seriously large volume of analytics data to understand insightful trends and employ this behavioural data and insights to intelligently to improve user journeys and customer value
  • Drive the measurement culture and understand the impact our product strategy; including crafting and analysing experiments and product launches
  • Envision, scope, and execute projects by collaborating with partners, customer research, data engineers and other analysts
  • Share your high-quality insights and recommendations to various levels of leadership to drive critical business decisions
  • Foster an extraordinary 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:

  • Demonstrated ability applying your analytics skills to drive projects which have had shown impact on strategic and product roadmap decisions
  • An agile development approach, 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 data manipulation and statistical programming languages (e.g. SQL, R, Python)
  • Experience in using statistics as part of your role (e.g. regressions, A/B tests, forecasting)
  • Proficiency in at least one visualisation tool (e.g. Tableau, R-Shiny)
  • Strong ability to communicate. Explaining complex concepts to diverse audiences, and crafting compelling stories
  • Project management & prioritisation experience; preferably with Data Engineering, Product Management, Research and Engineering teams
  • A degree in a quantitative field (e.g. statistics, mathematics, physics, econometrics, or computer science)

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

  • Previously worked in global teams and high growth companies
  • Advanced degree in Computer Science, Math or Statistics
  • An understanding of the SaaS development, business model and metrics
  • Experience in customer analytics, particularly analytical insight into how product changes impact customer and user happiness and engagement
  • Experience in building ETL pipelines using any tools or scripting languages
  • Are an active member of the broader analytics and data science community
More about the team
The Product Analytics team’s mission is to improve every decision in the product. We work across the entire build-measure-learn cycle of product development. We inform high level strategy by analysing the business. But we also drive insights from user behavioural data and seek to make a positive impact on the way our customers use our products in their day-to-day work. We are a highly collaborative team with a high bar of rigorous analyses, and we love to have fun along the way.
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.

Tags: A/B testing Agile Bitbucket Computer Science Econometrics Engineering ETL Jira Mathematics Physics Pipelines Python R Research SQL Statistics Tableau

Perks/benefits: Career development Equity Flex hours Flex vacation Home office stipend Startup environment Travel

Region: Asia/Pacific
Country: Australia
Job stats:  9  0  0

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