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Principal Data Scientist, AI

Atlassian

San Francisco (CA)

Remote

USD 201,000 - 269,000

Full time

Yesterday
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Job summary

Atlassian is seeking a seasoned Data Scientist to join their remote team, focusing on leveraging data to drive strategic decision-making across diverse business challenges. The ideal candidate will have over 8 years of experience and an ability to communicate insights effectively, utilizing statistical techniques and data visualization skills. This role supports flexible working arrangements and comes with a competitive salary and comprehensive benefits.

Benefits

Health Coverage
Paid Volunteer Days
Wellness Resources

Qualifications

  • 8+ years of experience in Data Science.
  • Proficiency in SQL and a programming language like Python or R.
  • Expertise in data storytelling and statistical analysis.

Responsibilities

  • Collaborate on product and business problems with cross-functional partners.
  • Use data for product development, quantifying opportunities and challenges.
  • Measure success through forecasting and monitoring product metrics.

Skills

Data Analysis
Statistical Concepts
SQL
Python
Data Visualization

Tools

Tableau
Microstrategy
R-Shiny
Looker

Job description

Analytics & Data Science | Seattle, United States | Remote, Remote | San Francisco, United States | Full-Time

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.

In this role, you will:

Collaborate on a variety of product and business problems with a diverse set of cross-functional partners, become a trusted strategic partner, and build credibility through the structure and clarity of your work.

Apply technical expertise with statistical 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.

Minimum Qualifications / Your background:

8+ 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 that have had a proven impact on business strategy and performance through your analytics skills

A proven track record for crafting analysis into well-written and persuasive 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

An understanding of the SaaS business model and key metrics

Experience in developing insights for Chat, Search or LLM-based products

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: $201,300 - $268,400

Zone B: $181,200 - $241,600

Zone C: $167,100 - $222,800

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.

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.

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