What is a data scientist's career path?

Answer 1

Data Science is a vast field in which new discoveries are made every day. A data scientist's job requires them to constantly improve their skills and knowledge base. As a data scientist, you can work for leading global MNCs or academic and research institutions. So, if you want to be a data scientist in the corporate world, you'd start with DS as an analyst, or as someone who works with the actual database and models on a regular basis to draw insights for the business. You would then be able to advance into positions of leadership and executive responsibility, managing teams of data scientists and overseeing data science projects for the organisation.

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Answer 2

A data scientist's career path typically begins with a strong educational foundation in mathematics, statistics, or computer science. Entry-level positions often include data analyst or junior data scientist roles, where professionals gain practical experience in data manipulation and analysis. As they develop skills in programming, machine learning, and data visualisation, they can advance to mid-level positions, such as data scientist or machine learning engineer. With further experience and expertise, professionals can progress to senior roles like lead data scientist or data science manager. Continuous learning and specialisation in areas like AI or big data are essential for career advancement in this rapidly evolving field.