Data Science is about Solving Problems
Renato Oliveira
Gerente de Tributos Indiretos e Transforma??o Digital na @Gimba | Simplificando a Gest?o e Gerando Resultados com Análise de Dados | Direito Tributário | Banco de Dados | Extra??o de Dados CAT 42 e NFE/EFD
The number one skill for a data scientist is the ability to evaluate and define a problem.?Data science involves using various analytical and statistical methods to extract insights and knowledge from data to solve real-world problems.?
These problems can range from simple business problems such as predicting customer behavior, to more complex scientific problems such as discovering new drugs or understanding the behavior of complex systems.
In today's business world, as companies recognize the power of data-driven insights, data scientists are becoming increasingly valuable.
The primary way that data scientists can help businesses is by analyzing large amounts of data to identify patterns, trends, and relationships.?
By doing so, they help make better decisions.
The key skills that a data scientist brings to the table include, beyond the capacity to define a problem, techniques to identify patterns, trends, and relationships within the data, and skills in programming languages such as Python, R, and SQL to clean, manipulate, and visualize data.
They use this knowledge to identify relevant data sources and develop hypotheses to test. For example, this hypothesis could be used to support the governance model with insights to effectively manage tax risk.
The data scientists have a deep understanding of the business they work for and the industry they operate in, as well as the data that is available to them.
Additionally, they are excellent communicators who can convey complex data insights simply and understandably to non-technical stakeholders.?
Data science is an incredibly important tool for businesses effectively manage tax risk, and stay ahead of an increasingly competitive market.
Thank you for reading, see you next time.??
Take care of yourself.