How to find & hire the right Data Scientist

Tracking business metrics is essential for every organisation. However, many businesses struggle understanding their insights and the impact they have on their performance. This is where a data professional can help!

Data scientists help companies leverage their uncomprehensive data. As companies hire in-house data professionals, they instantly see the evident value it can bring to their business.

If you believe it’s time to grow or built your data team, here are a few things to consider when trying to find the right talent to suit your needs.

Understand how they spend their free time.

There are many vibrant online communities & data science forums like Data Science Central, KDnuggets, Kaggle, & SmartData Collective. Users there can be updated on news and discuss their craft. Employers can try to engage with people that use these forums, by showing an interest in what they’re interested in. Remember that most of them, will not be actively looking for a career change.

Understand their daily challenges.

Data scientists have to worry about various information on a daily basis. They usually have a lot on their plate regarding what they need to analyse and interpret within their work. Here is an example of what occupies their time:

• Getting cross-functional teams on the same page. Data scientists have to get multiple teams to align priorities and speak the same language. This is the only way all teams can understand the type of information they should be after.
• Align their work with business goals. Data scientists have to learn to speak in terms of business metrics. That way they can understand how their work can add value to the organisation.
• Understand & implement the engineering behind their solutions. Data scientists have to be able to implement their theory and perform any analysis.

Understand what gets them excited.

If looking to hire talent, you should know what makes them tick. This will help you in creating a stimulating environment for them. Keep in mind, rarely a data scientist will be actively looking for a new job.

• Their impact on your products/services. Data scientists are always searching for new sets of data to experiment on & create real systems that interpret this data for the greater good.
• Strong teams with great communication skills. Communication is key to a data scientist’s job. Being at ease to point out the flaws in the data, as well as the strengths, makes a data scientist much better at his or her job.
• Opportunities to use their abilities on various company problems.Data scientists enjoy working on solving a variety of business issues. Having to tackle different issues within your organisation will be very stimulating to them.

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