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Atlassian
Principal Data Scientist
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Scorecard
Based on Illinois data
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What they do
A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.
$101,074 / year median in Illinois
+16% projected growth
Job Description
OverviewDoes the challenge of scaling a fast-growing company with the latest in data science and AI methodologies and tooling excite you?
Using your business instincts and creativity, you will leverage your business, data science, analytics and AI acumen to support a highly strategic, mission-critical initiative for Service Collection. This role aims to leverage analytics, data science and AI/ML to identify opportunities, build tools and solutions that will influence our Service Collection roadmap. If you love blazing new innovative trails, making the complex simple and driving decision-making speed across business units with data insights, then read on!
Atlassian is looking for a Principal Data Scientist to be the wizard who will uncover valuable insights from large amounts of data which will help the business improve our products. We're looking for someone with superb business instincts, comfort with executive stakeholders, proficiency in statistical analyses, expertise in AI/LLM, experience partnering with cross-functional teams and mentoring junior data scientists.
Working at AtlassianAtlassians 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.
ResponsibilitiesInfluence strategy & important decisions around Service Collection by blending end-to-end business acumen with advanced data science methodologiesDefine, set and report on department level KRs to the Service Collection R D teamBuild and implement measurement frameworks, machine learning models and other tooling leveraging various data science methods to accelerate Atlassian's growth and influence our product roadmap.
Envision, scope, and lead high impact projects by collaborating with Engineering, Product Management and Design, Data Engineering and Research and Insights teams.
Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performance9+ 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 LLM to solve business problems and a strong sense of when to apply them to the problem at handExpertise in SQL and 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 \
Using your business instincts and creativity, you will leverage your business, data science, analytics and AI acumen to support a highly strategic, mission-critical initiative for Service Collection. This role aims to leverage analytics, data science and AI/ML to identify opportunities, build tools and solutions that will influence our Service Collection roadmap. If you love blazing new innovative trails, making the complex simple and driving decision-making speed across business units with data insights, then read on!
Atlassian is looking for a Principal Data Scientist to be the wizard who will uncover valuable insights from large amounts of data which will help the business improve our products. We're looking for someone with superb business instincts, comfort with executive stakeholders, proficiency in statistical analyses, expertise in AI/LLM, experience partnering with cross-functional teams and mentoring junior data scientists.
Working at AtlassianAtlassians 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.
ResponsibilitiesInfluence strategy & important decisions around Service Collection by blending end-to-end business acumen with advanced data science methodologiesDefine, set and report on department level KRs to the Service Collection R D teamBuild and implement measurement frameworks, machine learning models and other tooling leveraging various data science methods to accelerate Atlassian's growth and influence our product roadmap.
Envision, scope, and lead high impact projects by collaborating with Engineering, Product Management and Design, Data Engineering and Research and Insights teams.
Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performance9+ 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 LLM to solve business problems and a strong sense of when to apply them to the problem at handExpertise in SQL and 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 \
Benefits
- Dental Insurance