Atlassian is looking for a Senior Data Scientist to join our new Data Science team based in Mountain View CA. In a data-driven place like Atlassian experiencing rapid growth, business opportunities from the application of data science abounds. These include:
Building algorithms to optimize parts of our marketing funnel
Using behavioral data and insights to improve the value provided to our end-users.
have a proven record of developing algorithms and models to optimize and scale business applications, have expertise in data analytics and excel at communicating highly technical topics to non-technical partners. You are passionate about data science and its applications to create business value. You want to make an impact to the way millions of users use our products in their day-to-day work.
On the first day, we'll expect you to have
MS or PhD in a quantitative topic (statistics, physics, engineering, math or computer science)
5+ years of related industry experience in the data science domain
Expertise in SQL and comfortable in an additional data programming language (such as Python or R)
Experience building and scaling machine learning models in business applications
Technical expertise building data tools using large amount of data
Focus on business practicality and 80/20 very high bar for output quality, but recognizes the business benefit of 'having something now' vs 'perfection sometime in the future'
Agile development mindset, appreciating the benefit of constant iteration and improvement
Ability to communicate and representing data science concepts to diverse audiences
Strong sense of accountability and self-drive and the ability to function independently.
It's great, but not required, if you have
Experience leading and mentoring data science talent
Experience working in an enterprise or B2B space, as well as the consumer or B2C space
Experience working with go-to-market (GTM) and Growth teams (in addition to Product and Engineering)
Track record of presenting at meet-ups and conferences.
More about our team
This new team is being built within the broader Analytics group and tasked to pursue business opportunities that can generate revenue or MAU improvements. The team is expected to work cross-functionally, using insights generated by marketing and product analytics that can be scaled or automated to generate business value. The team will be highly nimble, with a focus on velocity between ideation and initial output, and laser-focus on business impact.
More about our benefits
Our offices are open, 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 to support your favorite cause, plenty of food and beverages, ergonomic workstations with sit/stand desks, unique ShipIt days, a company paid trip after five years, generous employer-paid insurance coverage (medical, dental, and vision) for you and your family, 401k matching and more.
More about Atlassian
Software is changing the world, and we're at the center of it all. With a customer list that reads like a who's who in tech, and a highly disruptive business model, we're advancing the art of team collaboration with products like Jira Software, Confluence, Bitbucket, and Trello. Driven by honest values, an amazing culture, and consistent revenue growth, we're out to unleash the potential of every team. From Amsterdam and Austin to Sydney and San Francisco, we're looking for people who are powered by passion and eager to do the best work of their lives in a highly autonomous yet collaborative, no B.S. environment.
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.