Friday, Jan 10 2020

Stand Out in Your Data Scientist Interview

Written by

Stand Out in Your Data Scientist Interview

Landing an interview for a data scientist position is exciting. But it can also be a bit anxiety-inducing, particularly if you are worried about how you compare to other candidates. Often, every interview is going to have a similar technical skillset, so you can’t necessarily rely on your data science know-how alone. Instead, you have to figure out what makes you unique and how you can provide the employer with value.

While that may seem daunting, it isn’t as difficult as it appears. If you want to stand out in your data scientist interview, here’s what you need to do.

Aim for Relevance

When you prepare your interview questions, it’s normal to focus on what you bring to the table. However, if you can reframe your responses based on the problems the hiring manager needs the new hire to solve, you are making your answers more relevant.

Do a bit of research in advance. Learn about the company and its industry. Research emerging trends and existing challenges. Review the vacancy announcement for insights.

Then, as you prepare your answers, try to work in details from your research. Combine an overview of a related past accomplishment (quantifying what you can) and how it relates to a problem the company needs to solve or a goal it has. That way, you can showcase the value you provide and not just your capabilities.

Discuss How You Approach Problems

It’s common for hiring managers to ask you to describe a time you faced a challenge and how you overcame it. While you want to include an overview of the skills involved, also incorporate details about how you examine and explore obstacles when you encounter them.

The hiring manager isn’t just assessing your hard skills; they also want to learn about how you think. By explaining why you approached a problem a particular way, you are giving them additional insights.

Plus, this approach gives you a chance to showcase valuable soft skills, like critical thinking, problem-solving, and creativity. Since these are all important in data science, highlighting them in this manner can be beneficial.

Be Authentic

An experienced hiring manager can tell when a candidate is providing answers they think the hiring manager wants to hear. If that happens, you’ll come off as disingenuous, and that will hurt your chances of advancing in the hiring process.

Why does authenticity matter? Because the hiring manager needs to assess cultural fit as well as technical ability. If you aren’t coming off as genuine, the hiring manager may question whether you’re the right candidate for the job. They can’t be sure that you are the person you seemingly are trying to be.

By being yourself, they know they are getting a look at the real you. Then, if they think you’re a good match, they can move forward confidently.

Have Questions? Speak with Our Skilled Recruitment Team

With the tips above, you can stand out in your data scientist interview. If you’d like to learn more about making a great impression on hiring managers, the staff at The Armada Group can help. Contact usto speak with a member of our skilled recruitment team today and see how our interviewing knowledge can benefit you.