Most organizations are increasingly grasping an unprecedented volume of customers’ data that is stored in real-time from several different sources. The capacity of a business to be able to interpret and turn this information into actual insights can have a life-changing impact on numerous organizations. This is exactly where data scientists come into play.
Data science as we know it today is a relatively new discipline. It is not uncommon for many businesses to not have a clear understanding of the role of a Data Scientist and their responsibilities. There are many Data Scientists themselves that are not sure that they can call their role that way!
By combining a wide set of skills Data scientists can help organizations solve invaluable problems. In general, Data Scientists combine statistical and mathematical knowledge with a solid understanding of computer science. A great part of a Data Scientist's work is getting the data ‘clean’ and setting up statistical modeling and machine learning. In addition, a Data Scientist can meaningfully visualize data and present it to a wide range of stakeholders.
What are the main tasks of a Data Scientist:
- Set up processes and ETLs with the aim of collecting new sources of data.
- Being able to process and clean large amounts of data.
- Integrate new data sources into the existing infrastructure.
- Master a wide set of statistical models and algorithms to apply to a diverse set of problems.
- Utilize the most up-to-date techniques for problem-solving, such as machine learning, AI, and regression analysis.
- Understand results and being able to change and adapt the models to the existing circumstances.
- Present results to a non-technical audience and work on model modifications according to their feedback.
What are a Data Scientist’s requirements:
- Statistical analysis and understanding are at the heart of a Data Science role.
- The ability to understand and build Machine learning models as well as AI programming is a highly in-demand skill for this type of role.
- Strong analytical and logical thinking.
- Being able to communicate both verbally and in writing at all levels.
- Understanding of the business and how data fits into everyday problems.
- A strong knowledge of programming languages like R, Python, Java, and SQL.
To discover more about the role of Data Scientists in the current data roles spectrum please book a discovery call with us or visit our Data Scientist FAQ section.