Our Top Five Tips For Your Data Scientist Interview

Wesley Taupin our consultant managing the role
Posting date: 3/28/2019 11:38 AM
The role of Data Scientist is one of the most in-demand jobs in the tech world now. But, given that it is still a relatively new job, in a relatively new field, a lot of companies are still struggling to source enough quality candidates for their team.

Despite the demand, tech companies are very specific about the candidates they’d like to hire. Passing a Data Science interview can be very tricky, especially considering that businesses are looking for the right technical knowledge, business sense, and culture fit. 

With this in mind, here are five key tips for the Data Science interviewing process. By making sure you are prepared for the below, you’ll be able to ensure that you don’t sell yourself short.

Have A Concise Overview Of Your Project Experience


It’s imperative you prepare an overview of your successful Data Science projects. Hiring Managers aren’t interested in getting into every detail of your completed projects, but they do want to know that you have the right experience. Focus on key factors, highlighting the types of projects you’ve been working on and the successes you had as a result of those projects. Keep your achievements clear and concise.

Show Your Communication Skills


A good Data Scientist is more than just a good programmer. You need to be able to show that you can translate your findings into insights that can be understood by non-technical people in the business. During your interview, Hiring Managers may test your ability to step away from role-specific language. This is to asses whether you know how to engage with non-technical colleagues and parts of the business who may not understand the value of Data Science to the company.

Bring Out Your USPs


Companies will potentially be interviewing several candidates for a specific role, so it’s important that you are able to stand out. Consider what you have achieved that your fellow interviewees may not have. One good way to stand out is to have articles published on popular Data Science websites/blogs. From my experience, Hiring Managers see this as a big plus and it makes for a great talking point during the interview process. If you are looking to do this, you should always choose a unique topic and not something that is already explored a lot by others. On a similar note, you could highlight the Data Science projects you’ve achieved outside of work through platforms such as Kaggle.

Know Your Computer Science Fundamentals


Having a decent knowledge of Computer Science fundamentals, like algorithms is essential, especially if you are interviewing with tech companies. Whilst there are other elements to the role, you can expect questions related to programming, so for a Junior Data Scientist, I’d recommend practicing coding for a few days before your interview (if you are not doing this already in your day to day job).

Have An Understanding Of How You’ll Fit In At The Company


For some Tech companies, particularly start-ups, cultural fit is just as important, if not more so, than how good you are at coding. They’ll want to understand how you would react to different scenarios at work and whether or not you share the values of their company. For this reason, don’t be surprised to see a few team members join the interview as they look to see how you’ll fit in. Make sure you take a look at the company’s website, read their blogs and articles, and check their social media feeds in advance so that you have a good understanding of what the business is like. Remember, culture is a two-way fit so it’s about making sure the business is right for you, as much as it is right for them.

The interviewing process can be tricky but, at Harnham, our expert consultants are here to support you through the entire recruitment process. We will always make sure you are prepared for your interview and will run you though the topics you can expect to come up.

If you’re looking to take the next step in your Data & Analytics career, take a look at our latest opportunities or get in touch with one of our expert consultants to learn more. 

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With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out the related posts below.

The Harnham 2019 Data & Analytics Salary Guide Is Here

We are thrilled to announce the launch of our 2019 UK, US and European Salary Guides. With over 3,000 respondents globally, this year’s guides are our largest and most insightful yet.  Looking at your responses, it is overwhelmingly clear that the Data & Analytics industry is continuing to thrive. This has led to an incredibly active market with 77% of respondents in the UK and Europe, and 72% in the US, willing to leave their role for the right opportunity.  Salary expectations remain high, although we’re seeing that candidates often expect 2-10% more than they actually achieve when moving between roles.  Globally, we’ve also seen a change in the reasons people give for leaving a position, with a lack of career progression overtaking an uncompetitive salary as the main reason for seeking a change.   There also remains plenty of room for industry improvement when looking at gender parity; the UK market is only 25% female and this falls to 23% in the US and 21% across the rest of Europe.  In addition to our findings, the guides also include insights into a variety of markets and recommendations for both those hiring, and those seeking a new role.  You can download your copies of the UK, US and European guides here.

Where Tech Meets Tradition

Where Tech Meets Tradition

If you’re lamenting the decline of handmade traditional products, cast your cares aside. There’s a new Sheriff in town and its name is, Tech. Just a generation ago, children would leave the farm or the family business, go to school, and then move on to make their place in the world doing their own thing. Away from family.  Today, the landscape has changed and those who have left are coming home. But this time, they’re bringing technology with them to help make things more efficient and more productive. Is Tech-Assisted Still Handmade? In a word, yes. Artists still make things “from scratch”, except now technologies allow them to not only see their vision in real-time, but their customers, too. Have you ever wondered what the image in your head might look like on paper or in metal? What about the design of prosthetic arms and healthcare devices by 3D printers? You’re still designing, creating.  But just like any new technology, there’s still a learning curve. Even for cutting-edge craftspeople who find that sometimes, the line between craftsmanship and high-tech creativity may be a bit of a blur. Not to mention the expense for either the equipment required or being able to offer art using traditional tools at technology-assisted prices. Somewhere between the two, there is a trade-off. It’s up to the individual to determine where and what that trade-off is. Life in the Creative Economy One of Banksy’s paintings shredded itself upon purchase at an auction recently. AI is making music and writing books. Augmented Reality, Virtual Reality, and Blockchain all have their place in the creative economy from immersive entertainment to efficient manufacturing processes. Each of these touches the way we live now. In a joint study between McKinsey and the World Economic Forum, 'Creative Disruption: The impact of emerging technologies on the creative economy', the organisations broke down the various technologies used in the creative economy and how they’re driving change. For example: AI is being used to distill user preferences when it comes to curating movies and music. The Associated Press has used AI to free up reporters’ time and the Washington Post has created a tool to help it generate up to 70 articles a month, many stories of which they wouldn’t have otherwise dedicated staff.Machine Learning has begun to create original content. Virtual Reality and Augmented Reality have come together as a new medium to help move people to get up, get active, and go play whether it’s a stroll through a virtual art gallery or watching your children play at the playground.  Where else might immersive media play out? Content today could help tell humanitarian stories or offer work-place diversity training. But back to the artisan handicrafts.  Artistry with technology Whilst publishing firms may be looking to use AI to redefine the creative economy, they are not alone. Other artists utilising these technologies include:  SculptorsDigital artistsPaintersJewellery makersBourbon distillers America’s oldest distiller has gotten on the technology bandwagon and while there is no rushing good Bourbon, but you can manage the process more efficiently. They’ve even taken things a step further and have created an app for aficionados to follow along in the process. Talk about crafted and curated for individual tastes and transparency. It may seem almost self-explanatory to note how other artisans are using technology. But what about distilleries? What are they doing? They’re creating efficiency by: Adding IoT sensors for Data Analytics collection Adding RFID tags to their barrels Creating experimental ageing warehouses (AR, anyone?) to refine their craft. Don’t worry, though. These changes won’t affect the spirit itself. After all, according to Mr. Wheatley, Master Distiller, “There’s no way to cheat mother nature or father time.” Ultimately, the idea is to not only understand the history behind the process, but to make it more efficient and repeatable. A way to preserve the processes of the past while using the advances of the present with an eye to the future. If you’re interested in using Data & Analytics to drive creativity, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our expect consultants to find out more. 

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