
Orange Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 37 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at Orange.
Data Scientist
So, for the Junior Data Scientist job at Orange Maroc, they really wanna see if you're good with numbers AND if you're a good fit. First, you apply online. Then, there's a chat with HR about why you want to work there and what you studied, and if you're into their digital stuff. After that, it's a tech test, maybe some coding, or looking at data, or talking about ML, stats, and how to use Python, SQL, or Spark. Then you'll meet with a manager or someone on the data team, and they'll want to know how you solve problems, what you did in past projects (like school or internships), and how you could actually help with their business problems. Finally, they'll give you feedback, and if it's a go, you get an offer. They're looking for people who know their stuff but are also curious, can roll with the punches, and work well with others.
- Could you detail a data science project you completed, from beginning to end, covering the business goal, your tech stack, any hurdles, and the outcomes?
Data Scientist
You'll likely need to show off your Python, R, or other programming chops. Get ready to code or talk through code. Brush up on stats and math stuff like distributions, hypothesis testing, and ML algorithms. You might get asked about modeling, how to check models, and cross-validation. For ML and data analysis, be prepped to chat about the algorithms you've used, how you picked features, and how you tweaked hyperparameters. It's common to be asked to tackle a real-world or made-up problem, often as a case study. Make sure you can walk through your plan, why you chose it, and what you found.
- Could you explain how LLMs are structured and how they differ from Deep Learning models?
Data Scientist
After you apply online with your resume and cover letter, recruiters will review your profile to see if you fit the job and have the skills we need. If you match, we'll call you in about 15 days for a first chat. Then, you'll have an interview with a recruitment consultant (video or in person). This chat is to get to know you, make sure you understand the role, and discuss your motivations and goals. We'll also talk about your work history, skills, salary expectations, and career growth. Depending on the role, you might take a personality test or a technical test to assess your profile or abilities. If the consultant interview goes well, you'll meet with one or more managers from the team. These meetings will clarify your tasks, see if you'd fit with the team, and dive deeper into the technical and behavioral skills needed. If we decide to move forward, we'll send you a job offer by email. We'll also help you get settled in once you accept.
- Tell me about a project you completed.
Orange Data Scientist Interview Questions
Quoted word for word from Orange interview reports.
“What is the difference between supervised and unsupervised learning?”
Read reports →“What is the difference between supervised and unsupervised methods?”
Read reports →“Can you explain the random forest algorithm to someone completely unfamiliar with it?”
Read reports →“Could you explain how LLMs are structured and how they differ from Deep Learning models?”
Read reports →“Can you explain the various kinds of machine learning?”
Read report →“Was the optimization problem required to be solved using a specific method?”
Read report →“Why do you believe Data Science is an important field?”
Read report →“Are you familiar with Time Series Analysis?”
Read report →“How would you solve problems using Python code?”
Read report →Formats, difficulty and experience
Across all 37 Orange interview reports.