ATLASSIAN Hiring Data Scientist Jobs In USA Salary Upto $ 9,500 to $ 20,000 / Year Apply Now

 

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COMPANY	:	[ ATLASSIAN ]
ROLE	:	[ Data Scientist ]
VACANCY	:	[ 16+ ]
QUALIFICATION	:	[ BE /ME /BTECH /MTECH /DIPLOMA/ MBA /BSC /MSC /BA /MA Or Engineering Related Field ]
EXPERIENCE	:	[ Freshers ]
SALARY	:	[ Upto $ 9,500 to $ 20,000 / Year ]
LOCATION	:	[ USA ]

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ABOUT COMPANY :

The world’s best teams work better together with Atlassian. From medicine and space travel, to disaster response and pizza deliveries, Atlassian software products help teams all over the planet. At Atlassian, we're motivated by a common goal: to unleash the potential of every team.

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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

To learn more about our culture and hiring process, explore our Candidate Resource Hub.

              

JOB DESCRIPTION :

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Some examples of what you'll be doing:

• Work with a team to improve efficiency in a scaling customer support environment, bringing analytic capabilities and insights to bear
• Build operationally improving machine learning solutions including automation, predictive models, segmentation, anomaly detection, and optimization tools
• Work with large amount of text and customer engagement data to help build scalable analytic solutions
• Work with Software Engineering teams to build ML micro-services to integrate analytic solutions into business processes
• Forecast important outcomes to the business using different predictive capabilities and help guide better decision making
• Promote ML adoption and usage in an operational business
• Measure the growth of ML and AI applications on results.
• Develop partnerships with business and operations leaders

Some skills and tools you'll use are:

• DS: NLP, Classification, Anomaly Detection, Econometrics
• MLE: API Integration ,Feature Engineering, Model Lifecycle Management
• Analytics: Statistics, data distributions, summary/aggregation methods, operational metric development, ongoing OKR measurement
• Tools: Python, SQL, Tableau, Excel
• Collaboration: Confluence, Jira

More about you:

• You've been working in Machine Learning/ Data Science for 8+ years and have a BS degree in Statistics, Mathematics, Economics, Computer Science or other quantitative fields.
• Technical skills including best practices for operational Machine Learning Development and Serving
• Experience delivering value through data science, measuring impact, and right sizing solutions.
• Familiarity with Data Engineering and Software Engineering best practices
• You have experience building business improving Machine Learning Models and experience using data to guide efficiency in a business operations
• You have experience driving analytic projects, engaging with non-technical partners, and leading projects
• To keep pace with our growth you enjoy learning new things quickly. You can take an ambiguous assignment and deliver iterative value. You use multiple tools and methods to find trends and correlations by mining data, and light-weight tests to prioritize how to propel complicated problems.
• You are someone who likes to mentor less experienced analysts.
• You love driving strategy, making big changes, and influencing others. You have a history of driving measurable impact in close collaboration with operational colleagues.
• You combine curiosity with critical thinking and like asking "why" to unravel a seemingly complex problem and get to the cause.
• You're a senior 'pillar of the team' with business acuity, analytics expertise and the ability to up-skill those around you.
• When you encounter a problem you come up with multiple solutions, weigh the tradeoffs and efforts, identify the best path forward.

More About our team:

We are a growing analytics and project delivery team located in multiple regions across the globe. We challenge each other always to improve our work and ask hard questions. We're direct and demand excellence, but there's laughter in every meeting because we thoroughly enjoy the work we do and the impact it has. We're constantly learning new things.

JOB DESCRIPTION : ( SAME DESCRIPTION ONLY USE TO PRINT OUT PERSON )

Some examples of what you'll be doing:

• Work with a team to improve efficiency in a scaling customer support environment, bringing analytic capabilities and insights to bear
• Build operationally improving machine learning solutions including automation, predictive models, segmentation, anomaly detection, and optimization tools
• Work with large amount of text and customer engagement data to help build scalable analytic solutions
• Work with Software Engineering teams to build ML micro-services to integrate analytic solutions into business processes
• Forecast important outcomes to the business using different predictive capabilities and help guide better decision making
• Promote ML adoption and usage in an operational business
• Measure the growth of ML and AI applications on results.
• Develop partnerships with business and operations leaders

Some skills and tools you'll use are:

• DS: NLP, Classification, Anomaly Detection, Econometrics
• MLE: API Integration ,Feature Engineering, Model Lifecycle Management
• Analytics: Statistics, data distributions, summary/aggregation methods, operational metric development, ongoing OKR measurement
• Tools: Python, SQL, Tableau, Excel
• Collaboration: Confluence, Jira

More about you:

• You've been working in Machine Learning/ Data Science for 8+ years and have a BS degree in Statistics, Mathematics, Economics, Computer Science or other quantitative fields.
• Technical skills including best practices for operational Machine Learning Development and Serving
• Experience delivering value through data science, measuring impact, and right sizing solutions.
• Familiarity with Data Engineering and Software Engineering best practices
• You have experience building business improving Machine Learning Models and experience using data to guide efficiency in a business operations
• You have experience driving analytic projects, engaging with non-technical partners, and leading projects
• To keep pace with our growth you enjoy learning new things quickly. You can take an ambiguous assignment and deliver iterative value. You use multiple tools and methods to find trends and correlations by mining data, and light-weight tests to prioritize how to propel complicated problems.
• You are someone who likes to mentor less experienced analysts.
• You love driving strategy, making big changes, and influencing others. You have a history of driving measurable impact in close collaboration with operational colleagues.
• You combine curiosity with critical thinking and like asking "why" to unravel a seemingly complex problem and get to the cause.
• You're a senior 'pillar of the team' with business acuity, analytics expertise and the ability to up-skill those around you.
• When you encounter a problem you come up with multiple solutions, weigh the tradeoffs and efforts, identify the best path forward.

More About our team:

We are a growing analytics and project delivery team located in multiple regions across the globe. We challenge each other always to improve our work and ask hard questions. We're direct and demand excellence, but there's laughter in every meeting because we thoroughly enjoy the work we do and the impact it has. We're constantly learning new things.

How to apply :

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