A data scientist is responsible for collecting, cleaning, analyzing, and interpreting data to help businesses make informed decisions. They typically have a strong background in mathematics, statistics, and programming.
A machine learning engineer is responsible for designing, developing, and deploying machine learning models. They work with data scientists to collect and clean data, and then they use that data to train machine learning models.
A data architect is responsible for designing and developing data storage and processing systems. They work with businesses to understand their data needs, and then they design and implement systems that meet those needs.
A data engineer is responsible for building and maintaining data pipelines. They work with data scientists and machine learning engineers to collect, clean, and process data.
A big data engineer is responsible for designing, developing, and managing big data solutions. They work with businesses to collect, store, and analyze large datasets.
A data analyst is responsible for collecting, cleaning, and analyzing data. They typically have a strong background in statistics and mathematics.
A business intelligence analyst is responsible for using data to help businesses make informed decisions. They typically have a strong background in business and analytics.