Table of Contents

Who Is A Data Scientist?

Table of Contents

How much can a company’s bottom line increase with a data scientist report? Where and how to find a data scientist to become your superhero? We will answer all these questions in this article. Make sure to read it till the end!

Who is a Data Scientist?

Data scientist is the wizard who can structure and analyze the data that your company has been collecting directly or indirectly. Such a specialist is responsible for collecting, analyzing and interpreting extremely large amounts of data.

Data Scientist’s tasks

  • Looking for patterns in the data
  • Compiling work models
  • Offering solutions to improve the efficiency of processes
  • Making hypotheses for further strategies.

Distinguish Data Scientists vs Business Analysts

If a Business Analyst is interested only in a company’s business performance and earning money, a Data Scientist works for the future by studying patterns and relationships, creating a model to predict results. At the same time, Data Scientists can come to the aid of business analysts.

Data Scientist’s skills

  • Specialists statistics and linear algebra can help you collect and analyze data
  • Ability to collect, classify and transform algorithms into the format required for machine learning.
  • Collecting data at all stages, working with raw data, mining diamonds from them.
  • Optimization of processes taking into account all the factors found in the course of the study.

Data Scientist’s Technical skills

  • Programming languages: Python, Java, C++
  • Databases: MySQL, PostgreSQL, Oracle, etc.
  • Various Python libraries: Pandas, Numpy, Matplotlib, Scikit-learn.
  • Data structures and algorithms: Tableau, Hadoop, SAS, etc.

Do you need to hire a Data Scientist for your project?

As far as Data scientist includes Researchers and Engineers, one should remember that researchers are more specialized in statistics and the engineers are strong in programming. Usually, companies are looking for specialists who combine both stacks.

Examples of interview questions for a candidate:

  • Tell us about one of your most successful projects! What are its results and how did you manage to achieve them?
  • Tell us about one of your failed projects? What would you change about working on it now in retrospect?
  • Do you have a favorite algorithm? Describe it in detail!
  • How would you solve such a problem? (It can be both from real life and spied on in some cases)

Where to hire a Data scientist?

Universities databases

You can look for graduates with degrees in mathematics, statistics and engineering. You need analysts who know how to work with large amounts of information and they have enough perseverance and attentiveness to carry out such work.

Kaggle and other statistics resources

Using these to analyze comments and community to find your candidate. You can always go to LinkedIn – the most popular resource for searching candidates.

Finally, IT staff augmentation companies can help you. We can take our own EZtek company as an example here as we provide dedicated teams of developers to our customers.This article is prepared by the EZtek team. EZtek helps top brands worldwide to innovate and accelerate digital transformation. We provide world-class enterprise software engineering, design and technology consulting services.

Thank you for reading this article! We share our development expertise in IT professionals, so make sure to follow us not to miss a Blog.

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