Before we go any further, let’s first try to understand what a data scientist is and what it means to be a data scientist. To be precise, data scientists extract and analyze data to improve or align with overall business goals. Data scientists primarily work in machine learning, big data, or artificial intelligence corporations; these companies are not necessary or required as long as you need to become a data scientist.
Now that we have discussed what a data scientist is, the next one is what does a data scientist do?
A data scientist is an expert who specializes extensively in Big Data to develop beneficial business insights. The daily activities of a data scientist can sometimes be predictable, and on some days, the role of a data scientist can be quite crucial. A data scientist has to consider many roles such as a skilled mathematician, an analyst, a computer scientist, and the list goes on. One can become a data scientist by enrolling in data science courses and certifications
Data Scientist Responsibilities
Data scientists must work closely with business stakeholders to understand and gain insight into their goals and determine how data can acquire them. They design data modeling processes, build algorithms and predictive models to extract business data needs, and help analyze data and share insights with partners. While each project is different, the procedure for collecting and analyzing data generally follows the same pattern.
- ask the right questions
- Data collection
- Process and clean the data.
- Data integration and storage.
- Initial data analysis and exploratory data analysis
- Select one or more potential models and algorithms
- Acquire data science techniques, such as machine learning, statistical modeling, and artificial intelligence.
- Measurement and improvement in results
- Send the final result to business stakeholders
- Adapt to changes based on feedback
- Repeat the process to resolve a problem that arises
What are the roles of a data scientist?
Data scientist roles are emphasized in a certain part of the data processing cycle, from data analysis to assembling the underlying data storage infrastructure. There are five common data scientist job roles. They are:
Data scientists. Data scientists work closely with business stakeholders to understand and gain insight into their goals and determine how data can acquire them. They design data modeling processes, build algorithms and predictive models to extract business data needs, and help analyze data and share insights with partners.
Data analyst. Data analysts use business intelligence and analysis tools to examine data and identify trends. His work is aimed at creating prescriptive insights. By analyzing historical patterns, they can make data-driven suggestions to optimize potential trading outcomes.
Data engineer. Data engineers are responsible for establishing and maintaining the analytics infrastructure that facilitates nearly all other data functions, including architecture such as databases, servers, and large-scale processing systems.
Business intelligence specialist. Business intelligence (BI) specialists assume the role of designing and implementing BI software and systems while incorporating them with databases and data warehouses. Business Intelligence provides a read of the current state of the business by tracking key operational metrics in real time, providing the business with descriptive rather than predictive data.
Data architect. Data architects join data engineers to conceptualize, visualize, and build enterprise database management systems (DBMS). DBMS refers to technological solutions used to monitor data storage and retrieval from databases.
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Categories: Technology
Source: vtt.edu.vn