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How to Become a Great Data Scientist?

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Data science as we know is one of the most promising careers of this century. It is due to the massive of information that gets collected daily due to which it has created a demand for storing, applying and interpreting data insights have been the sole responsibility of data scientists.

Although most companies are dependent on data gaining insights and information, there is a challenge that persists. Every company needs n tech expert with data science skills. A data science professional who’s now gaining reputation in most industries.

There is so much of information for ordinary people to process and further use them. As a data scientist, the experts job is to gather, organize, analyze these data and interpret positive insights. Most data scientist started their data science career by being big data analyst. However, many of the data scientists have a strong technical background. Graduates/post graduates in computer related majors and mathematics and statistics are good ways to start off a career in the data science field.

Being great at something requires time, effort and dedication. You’ve put in those long hours of learning, you took the right kind of jobs for interview’s but didn’t make it through. What are you missing out? This is a question that probably isn’t easy to answer. Having the skills to a new technology might be the key, but a great data scientist should also know how to put those skills into use and how this will make an impact in producing meaningful business impact.

You can always be the first hire of a company, but how are you planning on bolstering the business of the company? Have you thought it through? Don’t panic! There are a lot of ways how you can prove your worth to the company. Let’s have a glance at some of them-

  • Attention to details – decision making

As a data science professional, you’ll probably be engaging with different teams, this is what you should do. Pay close attention to the how, when, and by whom all the important decisions are being made in the company. Where does the marketing strategy come from? Does it come from the CEO or from the Director of marketing? You might also want to know about the kinds of data inform those decisions were made upon.

  • Stay in-sync with the business team

Spend good amount of time with your business teams. Working closely with them will give you a clear picture of what’s going around within the sales and marketing department etc. this will give you a broader idea of things that are in the priority and what kind of data is most important.

In short, staying in-sync with the business team always reveals great opportunities to data scientists.

  • Hunt valuable data

It may sound uncanny, but your analysis is only as good as your data. No matter how great your machine learning algorithms are it is of no good use to a company that doesn’t have access to large datasets. If you’re at a smaller company, opportunities may be huge, chances are there might be areas for data collection probably nobody has seen or explored.

  • Learn how your customers behave

This is one area that is worth your time. As a data science professional, you need to use the key specific areas – exploration and experimentation. These are insights that probably no one has thought about, your aim is to dig deep and try to understand how your customers respond to the company and its products.

Last but not the least, reskilling and keeping yourself updated with the latest technology is the key to a successful data science career. Data science certifications are good ways to enhance and keep your skills sharp.

Stay engaged and in-sync with the technology trends today!

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