What does a Data Scientist Do?

What does a Data Scientist Do?

A data scientist is a problem solver. Data scientists are statisticians, computational and systems experts, and storytellers who engage with stakeholders to identify the best methodologies for solving problems. They play a critical role in helping organizations make informed decisions about how best to use their data assets.

A Data Scientist is a problem solver

A data scientist solves problems by analyzing data, applying machine learning and artificial intelligence, and making decisions based on the results. In short, they help companies make better decisions through their knowledge of analytics tools and techniques.

A Data Scientist is a statistician

As a Data Scientist, you’ll be using statistics. But what exactly is statistics? In short, it’s the art of learning from data. It’s a way of thinking that can be used to make decisions and inferences about your data set (the collection of all your observations or measurements). You’ll also use this method to test hypotheses, predict future behavior based on past results and develop models for making predictions in general.

A Data Scientist is a computational and systems expert

A data scientist needs to be a computational and systems expert. They need to understand the data, but also the tools and techniques that can be used to analyze it. Data scientists need to know how to build and maintain systems that can handle large amounts of data—and they also need knowledge about how those systems work within their specific domain. Data scientists work with a wide range of different types of information and this makes them experts at handling large amounts of information from many different sources in ways that are useful for solving problems related with these kinds of data sources as well as other applications like machine learning or natural language processing.

A Data Scientist engages with stakeholders

The best data scientists are able to communicate with stakeholders. They need to explain their findings and how they’re relevant, even when the findings are difficult or controversial. This can be done through oral presentations, written reports and/or webinars.

A data scientist is a storyteller and educator

A data scientist is a storyteller and educator. The best data scientists know how to communicate their insights in an engaging way, so that even non-technical audiences can understand them.

The second part of this job description is to educate others about the importance of data science and its relationship with other fields like computer programming or economics. Data scientists also help drive forward careers for younger professionals by sharing knowledge about topics like machine learning, deep learning algorithms and more advanced concepts such as artificial intelligence. Data scientists are required to have a broad range of skills, including:

• Understanding the big picture. Data scientists should be able to think like an entrepreneur and understand how their product will change over time. They need to be able to see what’s next, not just what’s already been done.
• Using data science tools effectively. A data scientist needs access not only to the right tools but also good training on how they work and how best to use them. If you’re going after healthcare or finance data sets, then you’ll want someone who understands stats or machine learning frameworks well enough that they can explain them clearly at meetings with stakeholders.

Conclusion

In this article, we explored the role of a data scientist and how they can make your company more competitive. We discussed what makes a good data scientist, how they work with stakeholders to create value through their work and how they engage with the public by creating informative data visualizations. 

If you are interested in learning more about the data science field, sign up for our free masterclass on data science courses by IIT-M CEE.