What is a data scientist's career path?
Answers
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Data scientists are in high demand, especially as more organizations are adopting big data analytics to improve customer experiences, reduce costs and increase revenue.
The job of a data scientist is multifaceted. They must be able to create data visualizations and infographics to communicate complex information. They also need to be able to write code that analyzes large amounts of data and comes up with solutions to problems.
The typical career path for a data scientist looks something like this:
Data analyst: As an entry-level position, you will work on basic analysis projects that involve collecting, cleaning and organizing raw data. You may even have the opportunity to work on larger projects with more complex requirements. This type of job requires good communication skills, attention to detail and patience — as you’re likely working alongside many other people in your organization who have their deadlines or goals they need to be met. As your experience grows at this level, you can expect to take on more responsibility over time.
Data Engineer: As you gain experience in the field of analytics, you may find yourself moving into a role as a data engineer — someone who has learned how to wrangle complex datasets into usable forms for further analysis or reporting purposes.
Data scientists are in high demand, but it's not enough to simply have a degree from a top-tier university and a solid resume. To be successful and advance your career, you'll need to understand the fundamentals of data science, learn how to build and manage projects, and master the art of communication.
