Principal Data Scientist - Machine Learning Engineering, Atlassian

Principal Data Scientist - Machine Learning Engineering

Atlassian

Location:

United States, San Francisco

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

175100.00 - 233400.00 USD / Year

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Job Description:

Atlassian is looking for a Principal Data Scientist to uncover valuable insights from customer friction that will help the business improve our products. This role leverages analytics, NLP/LLM, and data science methods to identify areas of customer friction and build solutions to improve products within the Service Enablement Team of the Customer Support Organization.

Job Responsibility:

Influence strategy & important decisions around customer friction by surfacing data driven insights
Define, set and report on department level metrics or KRs to the CSS Executive team
Build and implement measurement frameworks, machine learning models and NLP/LLM tooling to accelerate Atlassian’s growth and improve product quality
Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team

Requirements:

Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performance
8+ years of experience in Data Science or related fields. (Preferred - 10+ years experience with a post-graduate degree in a quantitative discipline like Statistics, Mathematics, Econometrics, Computer science)
Expertise in applying a broad variety of ML methods including NLP and LLM to solve business problems and a strong sense of when to apply them to the problem at hand
Experience in managing ML projects end-to-end including deployment and monitoring
Expertise in SQL and a high level of proficiency in another data science programming language (e.g Python, R) with expertise in libraries like Pandas, Numpy, Scikit-learn etc.
A very high bar for output quality, while balancing 'having something now' vs. 'perfection in the future'
Comfort explaining complex concepts to diverse audiences and creating compelling stories for non-data experts
Proficiency in visualization tools (e.g. Streamlit, Tableau)

What we offer:

health coverage
paid volunteer days
wellness resources

Additional Information:

Job Posted:

March 19, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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