Senior Marketing Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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.

Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and technical creativity, you will empower marketing leaders to quickly and accurately measure the impact of our initiatives. We're growing quickly, so you'll need to define, implement, and scale the systems and processes for delivering insights to colleagues across the marketing organization. You'll be a phenomenal fit for this role have a strong bias towards action and enjoy finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong.

On your first day, we'll expect you to have:

• 5-7 years of experience in analytics/data science fields
• Advanced proficiency in SQL
• Ability to measure the impact of marketing tactics like paid digital ads, emails and website experimentation on business results
• A deep understanding of Enterprise SAAS business models and metrics like Pipeline, MQLs, SQLs etc.
• Experience collaborating with senior management, translating data-driven insights into decisions and actions
• Comfort operating in ambiguous, fast-changing environments
• Proficiency in at least one analytics & visualization tool such as Tableau, Mode, Looker etc.

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

• Experience in using at least one scripting language (Python, R, HTML, etc.)
• Experience with Git and the ability to work comfortably with a command line interface
• Proficiency in at least one marketing automation tool such as Marketo, Salesforce etc.
• Deep knowledge of statistics and experimentation
• An advanced degree in a quantitative discipline, such as statistics, economics, mathematics, or computer science