Senior Data Scientist, Workforce Analytics

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.

Are you an analytics champion with a deep toolset who thrives on helping business partners strategize, implement and measure data-driven initiatives? Do you relish the opportunity to dive headfirst into vast, high-impact projects and make foundational contributions across analytics, strategy and operations? If so, this role is for you!

As a Senior Data Scientist, Workforce Analytics on our Customer Support Services (CSS) team, you will partner closely with key business leads, focus on some of the most exciting challenges Atlassian faces.

Some examples of what you will be doing:

• Work closely with finance, product, and CSS leadership team
• Be responsible for predictive modeling and analyses of workforce data: workforce growth, organization structure, and talent management
• Own and drive improvement of inbound business volume forecasting; working with Operations partners to better enable staffing, training, and optimization of resources
• Own and enhance predictive pipelines and advanced analytic tools support CSS Workforce Management forecasting and allocation
• Key contributor to workforce planning strategy which is critical to Atlassian customer support experience
• Work closely with Data Engineering team on measurement and data instrumentation maturity

Some examples of the skills and tools you'll use are:

• Analytics: Statistics, predictive modeling, advanced analytics, metrics and measurement, ETL automation, and data pipelines, data story telling
• Tools: SQL, Tableau, R / Python, Excel, etc.
• Collaboration: Confluence, Jira

More about you

You've been working with data for 5+ years and have a BS degree in Statistics, Mathematics, Economics, Computer Science or other quantitative field.

You have experience in building business impacting analytic solutions and experience using data to influence operational teams, especially in workforce analytics or people analytics domains.

You have strong business acumen, love driving strategy, making big changes, and influencing others. You have a history of driving measurable impact in close collaboration with operational colleagues.

You have strong communication skills (non-technical) and core tech skills.

To keep pace with our rapid growth you enjoy and are capable of learning new things quickly. You can take an ambiguous assignment and move rapidly to deliver iterative value. You use multiple tools and methods to find trends and correlations by mining data, and couple that with intuition and light-weight tests to prioritize how to drive forward on complicated problems.

You are someone who actively likes to mentor / grow less experienced analysts.

You combine curiosity with critical thinking and good judgment, and like asking why to unravel a seemingly complex problem and get to the root cause.

You know how to gather, document, and interpret business requirements; always knowing how to ask the ‘why’ underpinning all requests.

You’re a senior ‘pillar of the team’, confident in your business acuity, analytics expertise and communication / coordination skills to push through ambiguity and up-skill those around you.

When you encounter a problem you come up with multiple solutions, weigh the tradeoffs and efforts, identify the best path forward, and exercise good judgment to drive ahead.

More about our team

You'll be joining a growing analytics and project delivery team located in multiple regions across the globe. We challenge each other constantly to improve our work and ask hard questions. We're direct, focused, and demand excellence, but there's laughter in every meeting because we thoroughly enjoy the work we do and the impact it has. We're constantly growing, learning, adapting, and trying new things. BBQ, tacos, and coffee are a few of our favorite things.