Data Scientist, Talent Acquisition

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

Does the challenge of scaling a fast-growing company by powering it with data, reporting, and analytics excite you? Using your business instincts and creativity, you will partner with other analysts to help support best-in-class talent acquisition with nuanced analysis, actionable insights, and strong recommendations. We're growing quickly, so you'll need to help define, implement, and scale the systems and processes for sustainable growth across the talent acquisition and analytics organizations. If you love finding patterns amidst chaos, making quick decisions, and aren't afraid of being wrong then this role could be a great fit!

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

• 3-5 years of experience in HR/recruiting analytics or closely related fields
• Proficiency in reading and writing SQL queries
• A strong intuition for crafting raw data and analysis into well-written and persuasive content
• The ability to prioritize your time wisely against multiple competing projects and requests
• Experience translating insights into decisions and actions that have a direct business impact
• Comfort working with remote teammates and remote-friendly workflows
• Experience with at least one analytics & visualization tool such as Tableau, Looker, Mode, Plotly, etc.
• A willingness to learn and adapt to new technologies and methods as needed

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

• Experience with HR and recruiting in high-growth companies
• Experience with scripting and analysis languages (Python, R)
• Experience with Git
• Experience with providing analytics support for recruiters and leadership teams
• Familiarity with statistics and probability

More about our team

Atlassian is two decades old, but our team is much younger. We'll have to blaze new trails to enable important growth decisions, so we're constantly growing, learning, and trying to do things differently. Key to this growth is bringing in the right talent - and valuable analytics are paramount to that effort. We've been described as scrappy, but thorough, because we're dedicated to an agile methodology that enables moving fast while still ensuring quality deliverables. We also know all too well the importance of validating assumptions in our data, and we use various types of testing to prove those assumptions. It's all about enabling Atlassian to grow by delivering data in the right way to partners across the company.