Principal Technical Data Scientist, Atlassian
$154-285k
Salary is dependent on candidates location. This role may also be eligible for bonuses
Software development and collaboration platform
Job no longer available
Software development and collaboration platform
1001+ employees
Job no longer available
$154-285k
Salary is dependent on candidates location. This role may also be eligible for bonuses
1001+ employees
Company mission
To give all teams the tools required to collaborate and innovate with new levels of productivity.
Role
Who you are
- 10+ years of experience with a combination of data science, analytics and data engineering experience
- Experience working with software and data engineering teams, an understanding of the software development. lifecycle, what drives software team to succeed and exposure to typical software engineering tools (e.g. Jira, SCM, CI/CD systems)
- Expertise in data modeling, (e.g. SQL, Python), knowledge of cloud data environments (e.g. AWS), and experience with DBT, data ETLs, and UAT processes
- 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"
- Experience applying your analytics skills to identify and lead projects that have had impact on strategic and product roadmap decisions
- A very high bar for output quality; with experience coaching teams to balance thoughtfulness, perfection and speed
- Experience in at least one visualization tool (e.g. Tableau, R-Shiny, dash, Microstrategy)
- Comfort explaining complex concepts to diverse audiences (such as Product Managers, Designers, Engineers), and creating compelling stories
- Project management and prioritization experience; preferably with Data Engineering, Product Management, and Software Engineering teams
- We're looking for a Data leader with business instincts and analytics mastery that has led projects improving data science efficiency
- You are someone that is passionate about applying these skills to increase data quality, reduce the need for data scientists to perform data engineering tasks and love working across the organization to create the proper data layer to increase data science productivity
What the job involves
- Draw on your expertise in understanding software development lifecycle and developer productivity to think about what are data and insights features that we should ship to our internal data science customers to influence the way they work
- Partner with the data engineering and platform teams to Identify and support a short, medium and long-term portfolio of projects that improves data assets used across data science
- Envision, scope, and lead projects by collaborating with partners, software and data engineering leaders, and data scientists
- Guide the creation of tools that allow a centralized data framework that improves the efficiency, quality and capabilities of all data analysts and scientists
- Oversee business case development, data requirement gathering (including metrics and definitions), establishing acceptance criteria, QAing, and testing for new transformational data products from start to finish to ensure everything is implemented and validated
- Work across marketing and product to develop monitoring and action plans across the data quality lifecycle (instrumentation → transformation → data/metrics/segments)
- Lead, coach, and build solutions from within a center of excellence
- Collaborate with the Business Intelligence team to define and achieve standard segment and metric definitions and governance
- Contribute into overall Data Science team OKRs
- 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 data is used to make decisions
- Guide demo sessions and education roll out for new data products and features to ensure adoption and usage
- You will be reporting to our Head of Experimentation
Our take
Atlassian creates software products for developers and project managers to help teams work together more efficiently. Since its founding in 2002, the global company has built up a strong suite of high-performing products including Jira, Trello, and Confluence.
Whilst their focus has predominantly been on software team management, products like Trello mark a shift in strategy for Atlassian, who intend to expand their coverage to other sectors. It is a smart move: with companies increasingly operating globally, the ability to coordinate projects from a common hub is more useful than ever. This is further compounded by the shift to remote workforces over the early 2020s.
Atlassian plans to further enhance the user experience of its products by minimizing friction in its connecting apps, meaning that product integration will be easier for its customers. Atlassian continues to perform strongly financially, and with its products playing a key role in two major fields - Agile and DevOps - they look set to remain an integral and successful market leader as the industry develops.
Freddie
Company Specialist at Welcome to the Jungle
Insights
41% employee growth in 12 months
Company
Funding (1 round)
Jul 2010
$60m
SERIES A
Total funding: $60m
Company benefits
- 5 annual paid Volunteer Days
- Company equity
- Flexible working hours
- Work from home opportunities
- Health insurance
Company HQ
Wynyard, Sydney, NSW
Leadership
Scott Farquhar
(co-CEO)While studying at the University of New South Wales, Scott founded Atlassian in October 2001. They have been co-CEO since, alongside being a Director of RedBalloon, and an Investor and Advisor.
Mike Cannon-Brookes
(co-CEO)Having studied Information Systems at the Univeristy of New South Wales, Mike co-founded Atlassian on graduation. As well as investing, mentorship, and directorship, Mike serves as co-CEO with Scott.
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