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Data Scientist (m/f/d)

Data scientist: a master of big data with top job prospects

If you are interested in a career in data science, now is the perfect time to find out more and get to grips with the data scientist job profile.

In short, data scientists analyse and systematically evaluate data, using large data quantities to gain valuable information. Data scientists work largely in the area of big data and business intelligence and can currently enjoy very good job prospects due to the rapidly increasing demand in recent years. This rise in demand has been caused by the increasing use of big data by companies and organisations across the world as data continues to grow exponentially and businesses become more capable of tracking and analysing data quantities.

Data scientists use their insights to provide consultation to company and organisation management, playing a key role in helping the company to achieve its strategic goals.

If your company is looking for experienced and competent data scientists, contact us. We put forward specialist candidates that perfectly fit your requirements – and we also offer different contract types.

  • For applicants
  • For companies
  • For freelancers

Looking for a job as a data scientist (m/f/d)?

Do you like to analyse large, often unstructured quantities of data and are able to recognise patterns from this jungle of information? Do you find it easy to use these patterns as the basis for useful projections and decisions for the company and business intelligence? If you’re looking for a new challenge in your career as a data scientist and you have the relevant know-how and experience, get in touch with us – let’s find your new job together.

Looking for an experienced data scientist (m/f/d)?

Does your company or organisation produce large quantities of data? Do you know the importance of relevant data in optimising internal processes and are able to use this data as the basis for both current and future decisions? Qualified data scientists are able to use their various analyses to draw appropriate conclusions for their company or organisation. Whether you’re looking for specialists with extensive experience in big data, data analytics or business analytics, our HR consultants are there for you to help find the perfect candidate for your vacancies.

Looking for current data scientist projects (m/f/d)?

Have you been successful with challenging projects in the areas of AI applications and/or deep and machine learning? Or have you already earned a reputation for your expertise in other areas of data science? If you’re currently looking for new exciting projects, contact us. We’ll work with you to find new exciting projects that allow you to apply your experience.

What does a data scientist do?

Data scientists identify and analyse multiple structured and unstructured data sources and quantities. They are also responsible for tracking and monitoring data.

Experts in this field are always developing new analytical methods to perfectly analyse existing and extensive databases. The bigger the quantity of data, the bigger the resulting potential for information that can be obtained by a data scientist.

They make connections in the existing data and interpret these using various big-data techniques. Data scientists also make use of advanced analytics. This is a more advanced form of business intelligence (BI) that examines a company’s analysis processes and procedures. The analysis tools gather historical data for this purpose and compile projections for the future. Using predictive analytics, data scientists are able to determine the impact that certain changes will have. And it’s not just organisations and institutions in the healthcare sector that use these techniques. They are also widely used by insurance companies for their risk management.

Tasks as a data scientist

The tasks of a data scientist can differ greatly and are largely dependent on the respective sector. Data scientists make connections across a wide range of data from lots of different sources meaning they are always coming up with new ideas and solutions in line with scientific standards.

They must therefore cover a large spectrum of skills. They must have a good understanding of their company and its products and/or services and possess technical expertise.

Overall, the work of a data scientist involves the following duties:

  • Gathering and evaluation of data from various relevant data sources
  • Review of data for accuracy, relevance and traceability
  • Descriptive analysis of collected data and linking to various databases (data warehouse or data lake)
  • Presentation of own ideas and reporting of successful use cases
  • Evaluation and validation of machine-learning models
  • Contact person for domain experts for data science

Especially in smaller companies, one person tends to cover all of the above tasks. However, the larger the company, the more likely it is that these responsibilities are shared between multiple data scientists, with each specialising in a different aspect of big data.

What does a data scientist earn?

At entry level, junior data scientists start at a gross annual salary of around EUR 48,000. Mid-level data scientists with two to six years of experience and some successful independent projects under their belt can expect to earn a gross annual salary between EUR 50,000 and EUR 90,000.

Senior data scientists start at a gross salary of EUR 70,000 per year with some top employers offering gross annual salaries of up to EUR 130,000 and over.

As with many professions, the salary can depend on many different factors: the industry, the size of the company/organisation and the level of experience and skills. This means your salary is constantly growing as you gain more and more experience.

Training as a data scientist

Experts in data science are now in high demand as company managers look to gain valuable insights that can be used to make current and future corporate decisions. Data scientists are needed in the areas of big data, data engineering, data mining, smart data, machine learning and predictive analytics. Countless companies from across the finance, engineering and IT sectors are currently looking for data scientists and depend on their skills.

Thanks to this strong demand for qualified data scientists, there are now many different training opportunities to learn the necessary skills in data science.

  • University courses or degrees, e.g. in physics, computer science or now even data science, form a solid theoretical and practical basis for getting to grips with the field as part of your study. In Germany, there are now also some universities that offer students the chance to study data science as its own separate degree course. These are usually offered as master’s programmes requiring a bachelor degree in physics or computer science. Ideally, when studying data science, you should acquire skills and knowledge in the following five areas, or attend courses and lectures in these areas:
  • Data management
  • Entrepreneurship
  • Information design and communication
  • IT
  • Analytics
  • Online courses and seminars, or even further training, are also great springboards for starting out in or moving over into the field of data science. Previous study in an economics-related subject or IT is also essential here. Preferably you should have already completed a degree.

What hard and soft skills do data scientists need?

Professional qualification as a data scientist is the key to success for any further development. In addition to a strong mathematical and statistical understanding, you also need to be proficient in programming, in particular using Python and R, and possess a basic (technical) understanding of software development and data analysis.

As part of a master’s programme, you should acquire more specialised skills in machine learning, data assimilation, business analytics or applied data science.

As a data scientist, you should also develop your own soft skills that can be applied in various different roles and allow you to adapt to the diverse and growing challenges in order to stand out from the crowd.

The following soft skills are therefore crucial for your professional success:

  • A keen interest in new trends and technical developments in big data, data science and business intelligence
  • A high level of drive, creativity and strong analytical skills
  • The ability to work in a team, inter-cultural knowledge and business fluency in English
  • Ability to persuade and a resistance to stress

(Big) Data scientist: find the right match with us

Are you a highly qualified and experience data scientist professional and looking for a new career challenge in an exciting field that you are passionate about? Then talk to us and let us find that challenge for you. With us, you get access to a wide range of promising contacts at well-known companies. What’s more, we’ll also communicate with you personally to learn more about your specific ideas and goals.

Using our innovative "Find & Engage" concept, we connect companies and experts. And, as we know exactly what both sides need and want, we only put forward companies and professionals that actually match.

If a candidate has the necessary hard and soft skills and their experience and goals match a company’s job requirements for a data scientist, we’ll make the connection – and we even offer the possibility of temporary employment. Then, if the chemistry is right in the interview, we’ll work with both parties to draw up the contract.

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