Atlassian Data Scientist Interview Guide

Interview Guide

Jun 20

The role of an Atlassian Data Scientist

A Data Scientist at Atlassian plays a vital role in the organization by using their expertise in statistical analysis, machine learning, and data visualization to help the company make informed decisions. They work closely with cross-functional teams to understand the business challenges and develop data-driven solutions.

One of the key responsibilities of a Data Scientist at Atlassian is to create predictive models using large data sets, and build data-driven dashboards to support the decision-making process. They also play a crucial role in the development and deployment of machine learning models and provide insights and recommendations to the business based on their findings.

In addition to being proficient in working with big data technologies like Hadoop and Spark, and programming languages like Python and R, Data Scientists at Atlassian are expected to have a solid understanding of statistical methods and machine learning algorithms. They should also be able to effectively communicate their findings to both technical and non-technical audiences.

Atlassian hires Data Scientists across the company and there are different seniority levels depending on the scope and expected impact. They have Senior, Staff and Principal level roles and some openings for Data Science Managers. These positions may vary depending on the current job openings and the location of the office. Additionally, Atlassian may also have other roles that are not specifically labeled as "data science" positions, but still involve data analysis and modeling in some capacity.

How to Apply for a Data Scientist Job at Atlassian?

To apply for a Data Scientist job at Atlassian, browse the job listings on Atlassian's career website and find the data scientist position that best matches your qualifications and experience. Once you have found a position that you are interested in, you will be able to submit an application online. However, we would highly recommend taking the referral route if you know someone in the company as it increases your chances meaningfully. One tip regarding your resume - make a few tweaks for the position and the role you are applying for which will help you have a better chance compared to other candidates. If you're not sure how to do that, Prepfully offers a resume review service, where actual recruiters will give you feedback on your resume.

It's important to note that the application process may vary depending on the position and location, so you should always check the specific job listing for more information on the application process.

Responsibilities of a Data Scientist at Atlassian

The responsibilities of a data scientist at Atlassian across roles can broadly be seen as-

  • Work with partners and leaders to identify high impact opportunities for analytics, and align analytics & data science priorities with their stakeholder's strategy.
  • Play with large volumes of data to understand insightful trends and employ these insights intelligently to improve user journeys and customer value.
  • Collaborate with partners, customer research, data engineers and other Data Scientists.
  • Build automated internal processes and products.
  • Share your high-quality insights to multiple levels of leadership to build important decisions and shape overall company strategies.

Skills and Qualifications needed for Data Scientists at Atlassian

Here are some of the skills and qualifications that may be required for a Data Scientist at Atlassian.

  • Showcase your experience in applying analytics skills to guide projects that have had a significant impact on strategic and product roadmap decisions.
  • Highlight your expertise in SQL and proficiency in another data programming language, such as Python or R.
  • Emphasize your proficiency in at least one visualization tool, such as Tableau, R-Shiny, Microstrategy, or SAP Business Objects.
  • Make sure to highlight your degree in a quantitative discipline, such as statistics, mathematics, physics, econometrics, or computer science. Having an advanced degree in Computer Science, Math or Statistics can be an added benefit.
  • Demonstrate your knowledge of statistical methods such as regression, cluster analysis, Hierarchical linear models, social network analysis, text analysis, longitudinal methods, etc. This is essential for building and deploying machine learning models.

Atlassian Data Scientist Interview Guide

As a part of the Atlassian Data Scientist interview, you will need to go through multiple interview rounds:

1. Recruiter Screen - In the initial screening stage, the recruiter will ask general questions about your background and provide an overview of the interview process. This screening is then followed by a behavioral interview with a Hiring Manager.

2. Technical Round Interview - The next round of the interview process will focus on assessing the candidate's technical skills.

3. Virtual On-site - The final stage of the interview process will be a virtual on-site interview comprising multiple different interview rounds. Overall the Virtual On-site interview is to give the organization a comprehensive understanding of your skills, experience and how you will fit within the company culture, values and work with the team.

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Check out video guide that delves into the interview process and provides valuable tips tailored to each round of the interview.

Relevant Guides

Atlassian Data Scientist: Recruiter Screen

Overview

This stage is divided into two rounds - a recruiter screen and a behavioral interview with the hiring manager.

  1. Recruiter Screen: The initial screening stage where the recruiter will ask general questions about your background and provide an overview of the interview process.
  2. Hiring Manager Behavioral Interview: The next stage is the behavioral interview with the hiring manager. The manager will ask questions about why you are interested in the company and what you are looking for in your next role. The manager will also talk about their background, the history of the team and the current needs of the team.

Interview Questions

  • Why do you want to join Atlassian?
  • Why do you think you will be a good fit for the role?
  • What responsibilities do you expect to have from your job at Atlassian?
  • What makes you the best candidate for this position?
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Atlassian Data Scientist: Technical Round Interview

Overview

The next round of the interview process will focus on assessing the candidate's technical skills. For instance, the interviewer will assess the candidate's SQL, Python and other coding skills through a series of assessments and questions. Some candidates also reported facing product case questions along with the technical questions.

Interview Questions

  • Explain the difference between supervised and unsupervised learning?
  • Can you walk me through the steps you typically take when building a basic machine learning model?
  • Explain the concept of regularization in machine learning and how it can be used to prevent overfitting in a model?
  • How would you write a function in Python that takes a list of integers as an argument and returns the sum of all even numbers in the list?
  • Given a list of strings, write a Python function that returns a new list containing only the strings that have more than 3 characters.
  • Write a SQL query to join two tables named "customers" and "orders" on the customer ID and return the customer name, email and total order amount for each customer.
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Atlassian Data Scientist: Virtual Onsite Interview

Overview

The final stage of the interview process will be a virtual on-site interview comprising multiple different interview rounds. Some of the example rounds are:

  1. Values Interview: You will be interviewed by someone who is not a member of the team you're interviewing for or any adjacent team that your prospective team will be working with. The focus of this interview will be on understanding your values and how they align with the company's culture.
  2. Business Case Study: This interview will be a business case study where you will be asked hypothetical questions to test your understanding of the business or domain related to the position you're interviewing for. For instance, one candidate reported they were shown a "user growth" graph and asked - why do you think it looks like this; what could be some underlying factors?
  3. Advanced SQL Assessment: This will be an advanced SQL assessment that will include questions involving aggregate and window functions.
  4. Stakeholder Interview: This interview will be a stakeholder interview with mostly behavioral questions on past projects and experiences working with teams. The interviewer will likely be someone you will be working with in the future.

Please note that these are just some of the examples of the rounds you could face. However, the rounds can be different for different roles and positions.

Interview Questions

  • Tell me about a time when you undertook an important initiative.
  • How do you handle conflict or disagreement with a manager or teammate?
  • Tell me about a project where you made an impact.
  • In a past project you worked on, can you give an example of a time when you had to deal with a difficult stakeholder and how you handled it?
  • Can you give an example of a time when you have had to work with a remote team? How did you ensure effective communication and collaboration?
  • How would you use window functions to aggregate data from multiple tables?
  • How would you use subqueries and joins to return data from multiple tables?
  • How would you use aggregate functions to calculate the sum, average, or other values of a specific column?
  • How would you assess the current market for our product?
  • What strategies could we use to increase demand for our product?

Interview Tips

When you are preparing for a Atlassian Data Science interview - we’d recommend the following things to keep in mind:

  • Prepare specific examples from your past projects or experiences that align with the skills and qualifications required for the role.
  • Reflect on how your personal values align with the company culture, as this may be a topic of discussion during the values interview.
  • Brush up on your knowledge of SQL aggregate functions and be ready to give specific examples of how you have used them in previous data analysis.
  • Practice your technical skills, such as SQL, Python, and machine learning, to be able to confidently answer technical questions during the interview.
  • Consider how you handle conflicts or disagreements with managers or teammates and be prepared to provide examples during the interview.

Conclusion

The interview process for a Data Scientist role at Atlassian typically includes 3 primary rounds - a recruiter screen, a technical round, and a virtual onsite interview. In the initial screening stage, the recruiter will ask general questions about your background and provide an overview of the interview process. This screening is then followed by a behavioral interview with a Hiring Manager. The second round of the interview process will focus on assessing the candidate's technical skills. The final stage of the interview process will be a virtual on-site interview comprising multiple different interview rounds. Overall the Virtual On-site interview is to give the organization a comprehensive understanding of your skills, experience and how you will fit within the company culture, values and work with the team.

Good luck with your interviews!

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