Industrial Data Ccientists: the future of big data 

Industrial data scientists care about the same things as any other data scientist – finding trends and insights in data to help improve business outcomes. However, they also have to consider the specific needs of industrial applications. For example, they may need to account for the fact that data is often more “dirty” and less reliable in industrial settings. They are responsible for ensuring that data is properly cleansed and organised before it is used for analysis.

In Industry 4.0, they take large and complex data sets and turn them into actionable insights. To do this, they must have expertise in analysing and interpreting large data sets to extract just knowledge and valuable insights. They work in a variety of industries, including manufacturing, finance, healthcare and retail.

They also use their skills to solve business problems and improve business performance. This includes data mining, modelling, forecasting and predictive analysis. They can also develop algorithms and software tools to help process and analyse data. To do this, they need to have a solid background in mathematics, statistics and computer science. Experience with Big Data technologies such as Hadoop and Spark is an advantage here. They may also need to be familiar with specific industrial hardware and software platforms.

BENOMIK is the recruiter for specialists and experts in Industry 4.0. The field of industrial data science is part of our specialisation. Thanks to our continuously improved multichannel search, we achieve maximum market coverage and at the same time fast filling of vacancies with high quality ("quality of hire"). Our search algorithm also finds the "hidden candidates".

What makes great industrial data scientists?

Good Industrial Data Scientists are characterised by being passionate about data and analytics, having strong technical skills and being able to solve complex business problems. They must be able to understand the business context and identify opportunities for using data analytics to improve operations.  In doing so, they should be proficient in statistical analysis and machine learning algorithms. In addition, they should feel confident in handling large amounts of data and have experience in using data visualisation tools to communicate their findings to business stakeholders in an understandable way.

The most critical technologies outstanding industrial data scientists must know are:

• statistics
• probability
• data mining
• machine learning
• deep learning
• natural language processing
• computer vision
• signal processing
• time series analysis
• big data

What are future industry 4.0 trends industrial data scientists need to know about?

Some future industry 4.0 trends relevant for industrial data scientists include the following:

• The increasing use of artificial intelligence and machine learning for predictive analytics
• The growing importance of big data and data analytics
• The expanding use of drones, robots, and other forms of automation in manufacturing and other industries
• The rise of the internet of things and the connected factory
• The swelling use of 3D printing and other forms of additive manufacturing
• The broadening importance of sustainability and green initiatives in industry 4.0

As Industry 4.0 increasingly becomes a reality, those who work in the field of industrial data science will need to be aware of these trends in order to be able to effectively utilise them in their work.

Among the above listed trends, there are a few that industrial data scientists need to be very aware of as we move into the fourth industrial revolution. First, there is a shift towards more data-driven decision-making. In order to capitalise on this trend, industrial data scientists must be able to make use of large volumes of data and develop models that can extract meaning from it. Not only do they have to locate the data, but they also need to be articulate in sharing their findings with others.

Another key trend is the increasing use of artificial intelligence and machine learning – in all industries. Industrial data scientists have to be familiar with these technologies in order to take advantage of their capabilities. And last but not least, there is a growing demand for "smart" products and services that can respond autonomously to changes in their environment (by sensors for example). Industrial data scientists will need to be able to design such systems and ensure that they are safe and reliable.

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Are you looking for Industrial Data Scientists who have these skills? At BENOMIK, we know that this sector is constantly changing and evolving. That's why we find the right candidates who can withstand changing requirements and stay one step ahead of developments. This is because we are also aware of the important trends and use the best tools and processes to guarantee a highly satisfactory recruitment process. Contact us to learn more.

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