Principal Data Scientist
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.
Responsibilities
Your future team - You will be part of a world-class Data Science team that leverages data to drive insights about our products and customers. The Data Science team partners closely with Product Managers/Engineers/Researchers/Data Engineers/Marketers/Privacy and Executive teams across Atlassian to drive and influence. The team is responsible for using a variety of analysis and data-science techniques to understand how Atlassian's customers engage with our products and communications and, in doing so, identify, design, and measure the success of product investments.
In this role, you will -
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, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges.
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations.
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.
You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian.
You will use storytelling techniques to communicate insights broadly, including to company leadership teams.
Qualifications
Minimum Qualifications / Your background:
9+ Years of Experience in Data Science or related fields
Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand
Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills
A proven track record for crafting analysis into well-written content
Experience advising, presenting to and serving as a thought partner to senior executives
Desirable Qualifications
10+ Years of Experience in Data Science or related fields
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Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Short-Term Disability
- Long-Term Disability
- FSA
- HSA With Employer Contribution
- Fitness Subsidies
- Mental Health Benefits
- On-Site Gym
- HSA
Parental Benefits
- Adoption Leave
- Birth Parent or Maternity Leave
- Non-Birth Parent or Paternity Leave
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Remote Work Opportunities
- Hybrid Work Opportunities
- Work-From-Home Stipend
Office Life and Perks
- Holiday Events
- Casual Dress
- Pet-friendly Office
- Happy Hours
- Snacks
- Some Meals Provided
- On-Site Cafeteria
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Volunteer Time Off
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Company Equity
- Performance Bonus
- Relocation Assistance
- Financial Counseling
Professional Development
- Access to Online Courses
- Internship Program
- Leadership Training Program
- Tuition Reimbursement
- Learning and Development Stipend
- Promote From Within
Diversity and Inclusion
- Founder led
- Employee Resource Groups (ERG)
- Diversity, Equity, and Inclusion Program
Company Videos
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