Atlassian is continuing to hire with all interviewing and on-boarding done virtually due to COVID-19. Everyone new to the team, along with our current staff, will temporarily work from home until it is safe to return to our offices.

We are looking for a top-tier data scientist to be an integral part of our newly formed customer analytics team in our Mountain View office. This candidate will play a key role in building customer behaviour models and deliver meaningful insights to improve customer experience and retention. He/She will partner closely with our machine learning team to build and optimize LTV and Customer Health Index (CHI) scoring models.

This is an outstanding opportunity for someone who has a proven record of partnering with internal stakeholders to bridge the gap between customer behaviors and cross channel customer views to propose retention, cultivation and win-back strategies.

On the first day, we'll expect you to have

• 7+ years of experience in analytics or closely related fields
• Expertise in SQL and proficiency in another data programming language (Python, R, etc.) 
• Understanding of machine learning techniques such as Regression, ANOVA, Clustering, Decision Trees, Gradient Boosting Machines
• A strong intuition for crafting raw data and analysis into well-written and persuasive content
• Passionate about customer experience, and customer analytics as a craft
• Great communication to share analyses and recommendations to non-technical audiences 
• Experience in designing and analyzing experiments that drive key product decisions 
• Strong sense of accountability, self-drive, and the ability to function independently 
• Undergraduate in a technical subject from a top school

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

• Experience in both enterprise (or B2B) as well as consumer (or B2C) environments 
• Track record of presenting at meet-ups and conferences 
• An advanced degree in a quantitative subject area, such as statistics, economics, mathematics, or computer science

More about our team

The Customer Success Analytics team at Atlassian is tasked to drive insights about our customers throughout their lifecycle with Atlassian. The team is responsible from defining and maintaining a customer health score, provide insights on customer churn and customer retention, build and manage models to predict potential churn and work cross-functionally to help customers get more value from our product suite, drive insights on the multi-year effort to transition on-prem customers to Cloud. This team partner very closely with other analytics teams

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.

All your information will be kept confidential according to EEO guidelines.