Data Science Jobs Bulgaria
Data science is one of the fastest-growing areas in the IT sector. With its power to work on statistics and trends with structured and raw data it is driving corporate decisions, lowering costs, increasing operational efficiencies, helping product development, improving artificial intelligence, and machine learning.
As the demand for data scientists increases, the discipline presents an interesting career for graduates and existing professionals. This includes those who are not data scientists now but with the right skill set for a career in data science.
- Data science has applications many industries, for example:
- Healthcare companies who are manufacturing medical instruments to detect and cure diseases.
- Video and computer games are now being created which take the experience to the next level.
- Websites which give movie and product recommendations based on what you like to watch, purchase, or browse on their platforms.
- Logistics companies which optimise routes to ensure faster delivery of products and increase operational efficiency.
- Banking and financial institutions to detect fraudulent transactions.
The search for data science specialists is one of the most competitive fields in IT recruitment. With talent supply and demand creating challenges for hiring companies.
Our team have a deep understanding of the Data Science market in Bulgaria and the requirements of this diverse and growing field. We have developed a network of connections including Machine Learning, Artificial Intelligence, and Natural Language Processing to help ensure that the right match can be made.
We understand that recruiting the right candidate is not just finding any data scientist but knowing the needs of the business and matching those. While you can run tests for technical skills, soft skills are harder to evaluate. For example:
- The candidate’s ability to innovate and think creatively
- If they are a team player
- Their ability to take constructive feedback
- The persons moral fibre
When in need of an experienced and connected data science recruiter in Bulgaria, companies turn to Top Skills who are a recognised leader in IT recruitment. Our specialists understand the skill sets required to fill data scientist and analyst roles, and we have a way of contacting the top talent by maintaining a network of fully vetted data scientists, including active and passive candidates for both full-time and contact positions.
Our candidates not only possess excellent data science skills but have the right blend of critical thinking and innovation to interpret insights accurately to facilitate decision making.
Our consultants have knowledge of analytics salaries, job titles and hiring trends to ensure you attract and retain the best talent at the appropriate remuneration.
Only a small number of our applicants pass our rigorous selection process. Our data scientists, analysts, and engineers are thoroughly vetted by experts who understand data analytics tools and applications.
Skills Required to Become a Data Scientist
The team at Top Skills understands the Bulgarian Data Science industry to market your skills, specialisms, career aspirations, and values. That is why so many of our candidates end up being our clients.
- The two types of important skills are:
- Technical
- Non-technical skills
Technical Skills Required to Become a Data Scientist
- The most important technical data scientist skills are:
- Statistical analysis and computing
- Machine Learning
- Deep Learning
- Processing large data sets
- Data Visualisation
- Data Wrangling
- Mathematics
- Programming
- Statistics
- Big Data
Some data scientists have a Ph.D. or master’s degree in statistics, computer science, or engineering.
Technical skills required to become a data scientist include:
Programming Languages
You need to have knowledge of various programming languages, such as Python, Perl, C/C++, SQL, and Java, with Python being the most common coding language required in data science roles.
Knowledge of SAS and Other Analytical Tools
An understanding of analytical tools is a helpful data scientist skill for extracting valuable information from an organised data set. SAS, Hadoop, Spark, Hive, Pig, and R are the most popular data analytical tools that data scientists use.
Adept at Working with Unstructured Data
Data scientists should have experience working with unstructured data that comes from different channels and sources.
Non-Technical Skills Required to Become a Data Scientist
These refer to personal skills and as such, can be difficult to assess simply by looking at educational qualifications and certifications. They include:
A Strong Business Acumen
To discern the problems and potential challenges that need to be solved for an organisation to grow.
Strong Communication Skills
For you to be successful in your role, and for your organisation to benefit from your services, you should be able to successfully communicate your findings with team members.
Great Data Intuition
Valuable data insights are not always apparent in large data sets, and a knowledgeable data scientist has intuition and knows when to look beyond the surface for insightful information.
