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Job profile! Data Scientist & Data Analysis: Where to find Cambridge Analytica?

The scandal surrounding the data analysisCompany Cambridge Analytica and is currently drawing wide circles. Its former Director of Research, Christopher Wylie, played a key role in this. But what exactly does a data scientist do and how do you become one?

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Data analysis can do a lot of good

Around it clear to say: The scandalous revelations about Cambridge Analytica bring an exciting and important professional field into disrepute. After all, collecting data is a necessary task that has become an indispensable part of the modern economy.

And good things can happen to it too - just think of the traffic data analysis that allows us to regulate traffic flows much better. Or to help patients with health data much more targeted. Without data, it would not be possible to solve challenging problems.

The Sexiest Job of the 21st Century?

It is no coincidence that the job of data scientist has been called "The Sexiest Job of the 21st Century" by Harvard Business Review authors Thomas H. Davenport and DJ Patil. However, you have to be aware that this job requires extensive knowledge as well as a great deal of responsibility in handling the data.

Because it is important that sensitive data is handled responsibly. Well-founded training helps here. For example, the former Director of Research at Cambridge Analytica and later whistleblower Christopher Wylie, the son of two physicists, had taught himself to program after dropping out of school and got his job at Cambridge Analytica without any formal qualifications.

What education and skills are needed?

I have studied computer science myself, but today my job is rather a mix of mathematician, computer scientist, statistician, software developer and business process development manager, coupled with a good dose of common sense.

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But of course, my training only laid the foundation. I have acquired this knowledge in the course of my job, which challenges companies face today with regard to large amounts of data and which they faced years ago.

Task of the Data Scientist

But what does an expert, who is located between big data, analytics and business intelligence, do in his daily work? And what skills should he bring with him? And what skills should the ideal data scientist in programmatic bring to soft as well as hard skills?

Data Science is an essential element for all stages of the programmatic process. Built on user data and user habits, the ecosystem of digital advertising is both a challenging and stimulating application for all data scientists who want to work on innovative and influential issues.

Like a forensic at CSI

Basically it is with my still young professional field to generate from the fast growing data mountains (Big Data) exactly the information, which the enterprise needs in order to work more efficiently. The goal is to use the existing data sets meaningfully rather than hoarding them into data stores.

My work and my customer interviews sometimes remind me of a forensic from the TV series CSI. This is caused by the analysis and combination of the smallest evidence. In companies it is mainly about intelligently combining the data to show improvement potentials as well as to a certain extent reliably in the future.

Intelligently linking data

Predictions do not come from the gut, but are based on the latest findings and methods of Predictive Analysis.

One of my declared objectives is not only to impart the know-how, but also to have the right tools to be able to practice this profession professionally and which make my work easier. This thirst for action also benefits other companies by showing you how they can intelligently link their data with existing tools such as enterprise search solutions. With the result of being able to get a comprehensive overview of the topics queried in search queries.

Trainings to the Data Scientist

I still remember the days when I watched my brother transfer data with a pair of acoustic couplers, or I even tried to access the Internet a few years later with my 28,8K modem and finally with a sensational 56k modem - unthinkable today.

Today only a few training possibilities exist such as a course at the Fraunhofer Institute. A good basis is training in computer science, statistics, business informatics or mathematics and a high degree of social competence. In this profession, it is important to think in a cross-departmental manner in order to correctly link the requirements of the individual departments and to identify from the overall picture exactly those points which are to be further developed to the benefit of the company.

Why is a data scientist so important?

Of course I also had a personal one MotivationTo take this job: At a young age I found not only Mr. Spock and Spaceship Enterprise “fascinating”, but also mathematics and of course computers.

However, the job today has little to do with child games: A data scientist must identify with 100 percent with the company, because he also bears a great responsibility with regard to the sustainable and responsible handling of the data. Regardless of size or industry, data volumes are constantly increasing and it is becoming increasingly difficult to maintain an overview and leverage insights to the benefit of the business. That's why the data scientist is so important.

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6 responses to “job profile! Data Scientist & Data Analysis: Where's Cambridge Analytica? ”

  1. Marv says:

    It's so hard to find really good data scientists. We tried to find one for our company - almost impossible.

    • Simone Janson says:

      Hello Marv, I can well imagine, it's also a very new profession with hardly regulated training.

  2. W. Klein says:

    The Experton Group has proposed a curriculum for the data scientist.
    The can be found here: http://ibmexperts.computerwoche.de/analytics-big-data/artikel/lehrplan-fuer-den-data-scientist
    But is it really relevant to practice? And can this be implemented? What do you think?

    • Simone Janson says:

      Thanks for the hint. Since I am not familiar with this field, I would like to say nothing about the practical relevance of this curriculum. Perhaps more Data Scientists can speak?

  3. Competencepartner says:

    Job description data scientist: The Sexiest Job of the 21st Century: I found “fascinating” in jun… #Beruf #Education

  4. Karista says:

    Data Scientist: The sexiest #job of the 21st century? After Cambridge Analytica, maybe not ...

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