20 Dataiku Interview Questions and Answers

Dataiku is a software company that specializes in data science and machine learning. The company was founded in 2013 and is headquartered in New York City. Dataiku has over 1,000 customers in more than 50 countries.

If you’re interviewing for a job at Dataiku, you can expect to be asked questions about your technical skills, experience with data science and machine learning, and your ability to work in a fast-paced environment. In this article, we’ve compiled a list of sample Dataiku interview questions and answers to help you prepare for your interview.

Dataiku Interview Process

The interview process at Dataiku is lengthy, and can involve up to eight rounds of interviews, including a role play. However, the interviewers are friendly and make it pleasant to converse with. The process is also transparent, and you will know exactly what is required and assessed at each step.

1. Why do you want to work at Dataiku?

This question is a great way to learn more about the candidate’s interest in your company. It also allows you to see if they have done their research on the organization and its culture. When answering this question, it can be helpful to mention specific aspects of the job listing that appeal to you.

Example: “I want to work at Dataiku because I am passionate about data science and artificial intelligence. Your company has an excellent reputation for these fields, which makes me excited to join the team. I would love to use my skills to help your company grow.”

2. What are your thoughts on the future of data science?

This question is a great way to see how you think critically about the field of data science. Your answer should show that you are aware of current trends and have an opinion on where the industry is headed. You can use your response to showcase your knowledge of emerging technologies, such as artificial intelligence (AI), machine learning and big data.

Example: “I believe that in the future, we will be able to collect more data than ever before. This will allow us to make better predictions and understand our world even better. I also think that AI will become increasingly important for data scientists. As it becomes easier to implement this technology into our work, I expect many companies to start using it to automate some of their processes.”

3. How would you deal with a conflict between two team members?

This question is a good way to assess your interpersonal skills and ability to resolve conflicts. When answering this question, it can be helpful to mention specific steps you would take to help the team members work together again.

Example: “I would first ask each person what they want from the other person. I would then talk with both people separately about how their actions affect others. If one of them was being disruptive or disrespectful, I would have a conversation with that person alone to discuss why their behavior is inappropriate. After talking with everyone involved, I would make sure all parties understand the expectations for working together.”

4. Tell me about an experience where you had to use a lot of creativity to solve a problem.

This question is a great way to see how you approach challenges and solve problems. It also allows the interviewer to get an idea of your creativity level. When answering this question, it can be helpful to give examples that show your ability to think outside the box and use innovative solutions.

Example: “In my last role as a data analyst, I was tasked with creating a new dashboard for our marketing team. The company wanted to create a more user-friendly interface so they could better understand their audience’s needs. After researching different types of dashboards, I decided to create a hybrid between a traditional dashboard and a storytelling platform. This allowed us to provide more information about our products while still making it easy for users to navigate.”

5. What is your previous experience working in sales?

This question is a great way to learn more about your candidate’s experience and how they apply it to their work. If you’re hiring for a sales position, this can be an especially important question to ask because it helps you understand the applicant’s ability to sell products or services.

Example: “I have worked in sales for five years now, but I started out as a customer service representative at my previous company. My manager saw that I had a knack for connecting with customers and helping them find solutions to their problems, so she offered me a promotion to sales associate. Since then, I’ve learned a lot about what makes a good salesperson and how to use those skills to help my clients.”

6. How do you handle stress and pressure?

Dataiku is a complex platform that requires you to have strong analytical skills. The interviewer may ask this question to see if you can handle the pressure of working with data and analytics in a fast-paced environment. Use your answer to show that you are confident, detail-oriented and able to work under pressure.

Example: “I find that I am most productive when I am calm and focused. When I feel stressed or overwhelmed, it’s hard for me to think clearly and make good decisions. To avoid feeling stressed, I try to stay organized and plan ahead so I know what tasks I need to complete each day. This helps me manage my time effectively and meet deadlines without feeling overwhelmed.”

7. Describe a time when you had to make a difficult decision without much information, how did you come to your conclusion?

This question is a great way to test your problem-solving skills and ability to make decisions. When answering this question, it can be helpful to describe the steps you took to come to your conclusion.

Example: “In my previous role as an IT specialist, I was tasked with finding out why one of our servers wasn’t working properly. After running some diagnostic tests, I found that there were several issues causing the server to malfunction. The first issue was that the hard drive had crashed, which meant we would have to replace it. However, when I went to check the backup system, I noticed that it hadn’t been updated in over six months. This meant that all of the data on the server was lost.

I decided to call my manager for advice. She told me that she trusted my judgment and that if I thought it was best to start from scratch, then that’s what we should do. We replaced the hard drive and started fresh.”

8. What tools do you use for data analysis?

This question is a great way to see if you are familiar with the tools Dataiku offers. You can list out all of the data analysis tools you have used in the past, and then explain why you prefer one over another.

Example: “I use Tableau for most of my data analysis because it’s easy to learn and has an intuitive interface. I also like that it allows me to create visualizations from large amounts of data quickly. However, I find that Tableau isn’t as powerful as other tools when it comes to complex calculations. For this reason, I often use R or Python to do more advanced work.”

9. Do you have any experience working with software engineers?

This question can help the interviewer determine your ability to work with other team members. Use examples from previous experience working with software engineers and highlight your communication skills, problem-solving abilities and teamwork skills.

Example: “I have worked with software engineers in my last two positions. In my current role as a data analyst, I work closely with software engineers on a daily basis. My previous position was also similar, where I would collaborate with software engineers to create reports for clients. These experiences have helped me develop strong communication skills and learn how to effectively communicate with others.”

10. What is your preferred programming language?

This question is a great way to see if you are familiar with the programming language used by Dataiku. It also allows you to show your knowledge of other languages and how they can be applied to data analytics.

Example: “I prefer Python because it’s an easy-to-learn, general-purpose programming language that I have been using for over five years. However, I am also proficient in Java, C++ and R, which I use when working on specific projects. For example, I recently worked on a project where we needed to analyze large amounts of data quickly. In this case, I used R to create predictive models based on historical data.”

11. Explain what A/B testing is.

This question is a basic test of your knowledge about Dataiku. A/B testing is a common practice in data analysis, and you should be familiar with it if you want to work as a data scientist. In your answer, define what A/B testing is and give an example of how you would use it.

Example: “A/B testing is when you compare two versions of the same thing to see which one performs better. For instance, I once worked for a company that wanted to know whether its website was more effective with a blue or red background. So we set up an A/B test where half of our visitors saw the site with a blue background and the other half saw the site with a red background. After a week, we found that the red background increased conversions by 5%.”

12. What is your experience with building applications?

This question is a great way to learn about your experience with programming languages and frameworks. You can discuss the types of applications you have built in the past, what type of data they used and how long it took you to build them.

Example: “In my last role as a software engineer, I was responsible for building new features into our company’s website. This included creating an online store where customers could purchase products and adding social media integration so that users could share their purchases on Facebook or Twitter. It usually took me two weeks to complete each project because I had to test every feature before releasing it to the public.”

13. We often have to be able to communicate complex technical concepts to our customers. Have you ever been in a situation like this before?

This question is a great way to see how you can communicate with non-technical people. It also shows the interviewer that you have experience working in customer service and are able to explain technical concepts to others.

Example: “Yes, I’ve had many experiences where I needed to translate complex data into something my customers could understand. In one instance, I was helping a client who wanted to know what their sales would look like if they increased their marketing budget by 10%. I explained to them that this percentage increase wouldn’t be enough to make up for the seasonal dip we were experiencing at the time. They understood after I broke it down further.”

14. What challenges does the field of machine learning face today?

This question is a great way to test your knowledge of the industry and how it’s changing. You can use this opportunity to show that you’re aware of what’s happening in the field, as well as how you plan to adapt to these changes.

Example: “The biggest challenge facing the machine learning field today is the lack of diversity among data scientists. There are many reasons for this, including the fact that there aren’t enough women entering the field. This means that we don’t have enough people who understand different perspectives and experiences. Another issue is that there isn’t enough training available for those who want to enter the field. We need more resources so that everyone has access to learn about machine learning.”

15. What languages do you speak?

This question is a great way to see if you have the ability to communicate with your coworkers. If you are interviewing for a position that requires working in a team, this question can be especially important. When answering this question, it’s best to list any languages you speak fluently and briefly explain what they are.

Example: “I speak English fluently, as well as Spanish at an intermediate level. I am currently learning French, but I’m not fluent yet.” This answer shows that you’re willing to learn new things and actively work on improving yourself. It also shows that you understand the importance of communication within a team.

16. What is your experience working with SQL databases?

SQL is a common language used to communicate with databases. Your experience working with SQL can help you understand the data structures and functions of Dataiku. If you have no prior experience, consider describing your knowledge of how SQL works.

Example: “I’ve worked with SQL in my previous role as an IT specialist. I was responsible for maintaining the company’s database servers and ensuring they were secure. I also helped create new tables and stored procedures within the database. In addition, I created reports using SQL queries that allowed me to analyze the data and make recommendations based on the results.”

17. In what ways can we better leverage AI in the workplace?

AI is a hot topic in the tech industry, and many companies are looking for ways to implement it into their business. Your answer should show that you understand how AI can be used to improve data analytics processes. You can list several ways in which AI can help businesses by providing insights from large amounts of data.

Example: “AI has the potential to make huge improvements in the workplace because it can automate repetitive tasks and provide valuable insights from big data sets. For example, I once worked with a client who was using Dataiku to analyze customer feedback on social media. The company wanted to use this information to better tailor its products to customers’ needs. Using AI, we were able to create an algorithm that analyzed thousands of comments and provided insight into what customers liked about the product and what they would like to see improved. This allowed the company to make changes to its product line based on real-world feedback.”

18. What is your experience with Python?

Python is a popular programming language that many data scientists use. Your answer should show the interviewer your experience with Python and how you apply it to your work. If you have no experience, consider describing another programming language you know or explain why you prefer not to use one.

Example: “I’ve been using Python for about five years now. I started learning on my own before taking an online course through Udemy. Since then, I’ve used Python in all of my projects at my current job. It’s a great language for data science because it has so many libraries that make coding easier. For example, I can use Pandas to import and analyze data much faster than if I had to do it manually.”

19. How would you describe yourself as a leader?

This question is a great way to assess your leadership skills and how you would apply them in the workplace. When answering this question, it can be helpful to describe yourself as a leader by describing some of your past experiences or accomplishments that show your ability to lead others.

Example: “I believe I am an effective leader because I have always been able to motivate my team members to work hard and achieve their goals. In my previous position, I was responsible for managing a large group of data scientists who were working on various projects. I made sure everyone had what they needed to complete their tasks and encouraged them to ask questions if they ever felt overwhelmed. As a result, we were able to meet all deadlines and exceed our company’s expectations.”

20. What do you think is the most important thing to remember when trying to develop a good relationship with a customer?

This question is a great way to see how you interact with others and your ability to build relationships. When answering, it can be helpful to think of a time when you developed a good relationship with a customer or client.

Example: “I believe the most important thing to remember when trying to develop a good relationship with a customer is that they are people too. I try to treat them as such by being friendly and empathetic. If I understand what they’re going through, it makes it easier for me to help them solve their problem.”