Principal Data Scientist - Machine Learning Engineering

Overview

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

The AI, Systems, and Technology (AIST) team drives transformative changes through Machine Learning and Artificial Intelligence solutions for our Customer Support Services (CSS) organization with a focus on efficiency and effectiveness & AI responsibility while encouraging Human in Loop. Our team consists of Machine Learning Engineers, Data Scientists, Systems Engineers, and Software Engineers and provides many opportunities for collaboration, knowledge sharing, and individual growth.

We are looking for a Principal Machine Learning Data Scientist to develop and implement our machine learning algorithms, train sophisticated models, collaborate with our technical and non-technical partner teams, to ultimately expand our AI/ML functionality in partnership with our CSS and/or Sales organization. A successful candidate will have strong business instincts, be comfortable communication with executive stakeholders, have expertise in NLP/LLMs, experience partnering with cross-functional teams, and a passion for peer mentorship.

Qualifications

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

• 8+ years of experience in Data Science or related fields

• Expertise in applying a broad variety of ML methods including NLP and LLM to solve business problems using large amounts of data

• Proven track record of delivering ML projects end-to-end, including designing, development, deployment and monitoring

• Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story

• Expertise in programming languages such as Python or Java with and the ability to write performant code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)

• Agile development mindset, appreciating the benefit of constant iteration and improvement

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

• 10+ years experience with a post-graduate degree in a quantitative discipline

• Experience working in a consumer or B2C space and/or domain knowledge of customer support and/or sales including it’s challenges and dynamics

• Comfort in solving complex problems in ambiguous spaces

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: $175,100 - $233,400

Zone B: $157,500 - $210,100

Zone C: $145,300 - $193,700

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.