Innovation and technology are directly driving the creation of new careers. Historically, technological advances are the engines that transform the job market, giving rise to new employment or training and dictating the change or remodeling of other work fronts.
With the creation of new tools and new work processes, the role of employees changes within a company. Predicting the future is a great challenge, especially in a scenario with so much technological advancement – and these innovation and technology careers are already being needed today.
Machine Learning and Artificial Intelligence Analyst, Data Scientist, Cryptocurrency and Blockchain Engineer, Growth Hacker… These are some examples of new careers already consolidated in the job market. And you want to know more about this new career scenario? Keep reading our post!
Innovation, Technology, And The New Career Landscape
Much has been said about innovation and technology for the market, and the constant advances in this area also demand new types of professionals. This scenario is favorable for the transformation in the labor market and guides the scalable evolution of the demand for labor.
New careers are being created to meet the demand for qualified labor and the application of technology and innovation – not only with computers but in human interactions and in improving the population’s quality of life in general. Understanding the changes proposed by the Fourth Industrial Revolution, especially in the labor market, is one of the main challenges to keeping an eye on these changes.
The Seven Innovation And Technology Careers
In this scenario of innovation and technology, some new careers are already taking place and gaining ground, mainly due to the growing and rapid demand for qualified professionals.
Machine Learning And Artificial Intelligence Analyst
This type of professional has stood out in recent years, mainly due to the democratization of Artificial Intelligence and Machine Learning models. The critical point is the intersection area between a Machine Learning and Artificial Intelligence Analyst for a Data Scientist.
Both will use the same or similar tools, with opposite purposes. For this profession, the end is models and analyses that will be consumed without human interaction, with decisions being made autonomously by the machine to control the final product or service.
This professional must come from Computing or related areas and have a solid knowledge of Data Science, Programming, Probability, and Statistics. Modeling and software engineering fundamentals are also essential experiences, and the career landscape is full of growth.
Data Scientist – Big Data
For a few years, the professional who decided to pursue a Data Scientist career was considered a unicorn – both for his ability to act and his importance in companies. Now, with a greater understanding of the science behind the data, this career begins to be better understood and divided between the technical knowledge of the area.
The Data Scientist focusing on Big Data must understand this ecosystem and work with data analysis and modeling technologies. Tools like Hadoop and concepts like a Data Warehouse and a Data Lake are fundamental to his work, which also deals with programming languages like Python, R, Scala, and Spark.
Cryptocurrency & Blockchain Engineer
With the growth of cryptocurrencies such as Bitcoin, Lite Coin, and Monero, the demand for professionals working in the area is growing, and this career has stood out. It is interesting to note that blockchain technology was born to meet a demand for cryptocurrencies. Today, it has become much more significant than that – it can be applied in several other areas and industries.
A Blockchain Engineer must be able to develop applications using this technology, not just limited to cryptocurrencies. It also operates in developing interactions with the blockchain, such as communication protocols.
An Ethical Hacker is considered a “good hacker” as he uses knowledge to become an expert in computer systems and networks, promoting methods to find vulnerabilities and security holes in software and corporate networks.
This Engineer will connect intelligent objects and use advanced robotics techniques to ensure comprehensive automation of the system or where he works. On several occasions, you will use procedures and software similar to the Machine Learning Engineer and the Data Scientist since the concepts behind the applications may be the same.
The Internet of Things is revolutionizing the communication of a single device with a whole network of other devices, promoting the exchange of data and information to serve better the final objective – which can be helping a human or acting directly on a system or manufacturing application.
Being very direct, the Growth Hacker is the professional who will innovatively create, develop and apply a marketing strategy model for the company, often being considered experiment-oriented. This is where the highlight of this career comes in: applying the Customer Experience concepts.
The Growth Hacker is the professional who will guide his work toward the company’s growth, whose north is growth. It connects the target market with the product and service. It is also responsible for offering the user the ability to use and obtain the expected satisfaction with that product or service.
This type of professional primarily focuses on providing the necessary follow-up for a Startup, not just for a specific professional. Dealing with the entire Startup environment and considering all its characteristics, the Startup Coach can see the general picture and directly identify the points that need to be worked on by each professional in each area.