Multiple employees collaborating on work
Atlassian Logo

Atlassian

Senior Data Scientist - GTM Analytics

Sorry, this job was removed at 06:03 p.m. (AEST) on Friday, Apr 18, 2025
Remote
Hiring Remotely in San Francisco, CA
Remote
Hiring Remotely in San Francisco, CA

Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
You will be part of Atlassian's Go-To-Market Analytics organization focused specifically on planning strategic initiatives spanning Atlassian's entire enterprise business. This role will partner with key stakeholders across product, marketing and sales to deliver accurate forecasts for future cycles.

  • Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work
  • Apply technical expertise with quantitative analysis, time-series analysis, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
  • Partner with cross-functional teams to inform, influence, and execute strategy decisions
  • Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends


  • Bachelor's degree or equivalent in a STEM field (e.g. statistics, mathematics, physics, econometrics, computer science, data science)
  • 4+ years of experience in Data Science or related fields
  • Experience applying models to forecast
  • Proficiency in SQL AND another data manipulation language (e.g. Python, R, Scala)
  • Proficiency in Microsoft Excel/Google Sheets
  • Experience telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, Power BI)
  • Strong understanding of statistical concepts (e.g. regression, clustering, probability, exponential smoothing) and how to apply them to practical questions
  • Experience building machine learning models with emphasis on supervised learning (Naive Bayes, SVM, Regression, KNN, etc)
  • Ability to craft analysis into well-written content


It would be great if you also had

  • Experience with Jupyter Notebook or Databricks
  • Experience applying statistical models to sales data and forecasting pipeline and/or bookings
  • Experience modeling for time series analysis (e.g. exponential smoothing, FB Prophet, LSTM)
  • An understanding of the SaaS business model and key metrics


Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $149,000 - $198,700
Zone B: $134,100 - $178,800
Zone C: $123,700 - $164,900
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Our perks & benefits
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on 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.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .

Similar Jobs at Atlassian

5 Hours Ago
Remote
San Francisco, CA, USA
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The Senior Customer Success Onboarding Manager develops onboarding programs to enhance customer success productivity, collaborates with leaders, and manages program execution.
5 Hours Ago
Remote
San Francisco, CA, USA
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The Sales Onboarding, Sr. Manager designs and develops onboarding programs to enhance sales team productivity, requiring collaboration, content creation, and program management skills.
5 Hours Ago
Remote
Mountain View, CA, USA
Expert/Leader
Expert/Leader
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Principal Software Engineer in Central AI, you'll lead technical direction, enhance cloud infrastructure for AI integration, mentor engineers, and ensure high-quality software delivery.
Top Skills: AWSCloud-Native TechnologiesDistributed SystemsSaaS

What you need to know about the Melbourne Tech Scene

Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account