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Introduction
Data scientist is a well-in-demand job profile and also one of the promising career fields in the IT sector. So if you are interested in knowing about a data scientist, then you are at the right place.
This blog will discuss the role and responsibilities of a data scientist at Atlassian, how you can apply, and the essential resources in this blog. But before this, let's have a brief about Atlassian.
About Atlassian
Atlassian is a globally recognized company that originated in Australia. Atlassian develops the software for the developers to make the development process more efficient. Jira is one of the famous software developed by Atlassian to make the testing process more manageable. Atlassian provides more opportunities than data scientists at Atlassian, which you can check in conclusion.
Data Scientist
Now we will discuss the role and responsibilities of a data scientist at Atlassian, which you should be aware of if you want to succeed and become a data scientist at Atlassian. As a data scientist, it is obvious to believe you have good analytical skills; if not, your priority should be to work on this if you want to be a data scientist at Atlassian.
If you are confused about why you should apply for a data scientist role, you can check out the below blogs.
Hottest job in town- data scientist
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Role and Responsibilities
You should be able to recognize patterns in a dataset for optimal solutions.
You should be able to create efficient data models.
To provide quality data or product offerings, you should be proficient in machine learning.
Utilize an analytical solution to address business difficulties, performance bottlenecks, and growth opportunities.
Skills and Requirements
You must have a BS degree in Computer science, mathematics, or in another quantitative sector.
You must have experience solving analytical problems and providing optimal solutions to operational teams.
Strong technical and communication skills.
Always ready to learn and grow mindset.
You should be able to collaborate and works with others without any problem.
Strong foundation in statistics, data distribution, and aggregation methods.
Below is the job profile, which is part of the career map of a data scientist.
Data analyst: If you are new or inexperienced in becoming a Data Scientist, first you need to be a Data Analyst, an entry-level position for a data scientist job profile. Both of the profile's roles and responsibilities are almost similar, but a data scientist is in a higher place than a data analyst. So you have to gain experience to be a data scientist.
Senior data scientist: Once you become a data scientist, you can aim higher in this profile. You can become a senior data scientist once you reach a certain level of experience in the job profile. Once you become a data scientist, you can lead a particular team and propose business expansion proposals based on the dataset result.
For more information about the roadmap of a data scientist, you can check out the video given below:
Salary and Perks
The annual salary of a data scientist at Atlassian may lie in the range of 21 lakhs to 23 lakhs, depending on the skills and experience.
**The average salary mentioned above is subject to change by Atlassian.
Perks
Insurance
Work-life balance
Employee support
Provident fund
Paid timeout and leaves
Parental leave and support
Phone and internet expenses
Anniversary awards
Corporate national pension system
Preparation Strategy
You must work on the following points to be fully prepared for the data scientist role at Atlassian.
You must work on the programming languages like Python or R if you want an upper edge because these are the most used programming languages in Data Science.
You must know how to create graphs and charts means working on your data visualizer skill. You can work with data visualizer software like PowerBI, Tableau, and many more.
You also have to know relevant Machine learning and Big data skills if you are preparing for the data scientist role.
Lastly, work on your communication skills to have an upper edge during the interview.
Resources
Now, if you do not have any doubts regarding the job profile, let's check out the essential resources that will help you become an Atlassian data scientist. Go through every mentioned link for a better understanding.
What is the difference between a data analyst and a data scientist?
A data scientist is considered a senior position than a data analyst with more responsibilities.
What programming languages should we know as data scientists?
Python, R, and Perl are the three most used languages in the field of a data scientist.
Is machine learning necessary to become a data scientist?
Yes, you should have considerable knowledge of machine learning if you want to be a data scientist.
What should be the main priority of a data scientist?
You must have excellent analytical skills to become a data scientist.
Is mathematics compulsory to become a data scientist?
You should be able to perform the required mathematical operations to become a data scientist.
Conclusion
In this post, we learned about Atlassian as a company and the opportunities they provide. We also know how to apply for the data scientist at Atlassian and the roles and responsibilities required. We have also provided the resources so you don't miss your chance to become a data scientist at Atlassian.
To learn more aboutAtlassian as a company, please refer to the following articles: