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Why Should You Become a Data Scientist?

What should I look forward to in a career as a Data Scientist?

Data science is a vast field incorporating data analytics, scraping, visualization, statistics, among others.

Data is playing a critical role in the way our world operates, and industries, in general, are no different. The more we rely on data, the greater the profit, customer satisfaction, accurate results and better overall value of your company. With that said, it is safe to put forward the fact that the role of a data scientist is not only demanding, but valuable to every organization that understands the value of data. Data science is a highly beneficial field of study, and data scientists are high in demand in every industry.

What should I look forward to in a career as a Data Scientist?

Before you get into this field, it is essential to know what skills you would need as a prerequisite. Irrespective of the coding language or tools that you use, it is vital that your first step is being thorough with statistics, mathematics, and data structures to work on later in your career. You need to understand statistics and decision trees, algorithms in detail to know what you’re doing. Mathematics and data structures go hand in hand when you’re trying to manipulate or perform data operations. It also helps you with data engineering, analytics, and data visualization.

Data Science helps in providing actionable insights from the data that your company wants you to use.

Career Aspects of a Data Scientist:

Data science is a vast field incorporating data analytics, scraping, visualization, statistics, among others. So, the first step is to be aware of what you can/want to do in the field of data science. Usually, you become a smart data scientist after years of study or career experience in the above fields to be able to apply what you know exactly where it is needed. You need to be able to provide actionable insights from the data that your company or case study wants you to use. Moreover, a data scientist is an all-rounder rather than a specialist in a single field or skill. The reward you get for putting in years of studies or experience is the most chased after job with immense monetary benefits and no shortage of job options!

How can a Data Scientist add value to your company/organization?

Data Science can help in making better decisions.

The same way data is gold for any IT company or industry in today’s age. The value of a data scientist lies only in the results and insights that they can yield. Making sense out of raw unfiltered or structured data, massive in volume is not possible through excel or any other tools. You need a professional to be able to figure out what exactly can you do with your data to turn your company or project to give the most profitable or valuable results. Here are the ways a data scientist can help your organization or company:

1. Better results: If you think your company is taking bad management, marketing or HR decisions that are bringing in more loss than profit, data science can help. The primary role of a data scientist is to help make better decisions with data-backed insights. With a data scientist, you can not only figure out how best to tune and focus your departments but aim for max profitability as well.
2. Decision making: With the help of AI, data scientists can help your company aim for better decision making with every department. It is possible through data and making the most out of it by figuring out what isn’t working. Better yet, a data scientist can also help with what will work and what will not work based on data instead of human whims which is prone to error. Of course, you cannot predict everything that is going to happen, but with the help of data, you can have a consultant making the decisions for you.
3. Marketing: Marketing is one of the most challenging areas of any company or organization. If you fail at marketing whatever you work in, you are not able to work or earn anything. But data scientists can help target people for maximizing your ROI (Return on Investment) and wasting crucial finances and time on people who would not convert. Moreover, using data science can help you target better, achieve better customer satisfaction as well as standing out from the competition by creating your reputation of trust and satisfaction.
4. Testing: If you have to rely on decisions a data scientist would make with AI or algorithms or a reliable member of your staff, how would you know whom to trust? A data scientist can help in not only identifying and forecasting your business decisions and results but testing them out in real-time as well. Testing your choices in the real world and reconfiguring your actions can help your company set itself apart from the competition who would rely on trial and error or out of date strategies.
5. Classifying: Finding vast amounts of data to process and look at not only takes precious staff-hours but vast amounts of company finances as well. But, with the help of a data scientist, you can also start classifying resumes, marketing actions, among other decisions that give the best results. It makes everything easier so you can invest your company’s time and effort in things that are more probable to yield better results based on actual data. You can use it to make HR decisions, brand marketing, resume sorting and hiring decisions, among others.

A Data Scientist creating reports from raw data.

All of these advantages are not only profitable for your company’s staff, but you can also use them for your products and services. After applying and maintaining data science decisions for the best of your company, you can set up projects to maximize customer satisfaction. A data science team can help your company in every decision and area possible. A single data scientist can also be enough based on your needs. However, a team of data scientists looking out for the best of your enterprise or company can yield results like no other simulation or human can from previous experience. Now you can look forward to the future just as much work on your present and drive your company’s vision in the right direction.

Thank you for taking the time. I hope you gained some value!

Shantesh Mani is a Data Scientist, Machine Learning Engineer & Artificial Intelligence Specialist. A jazz drummer, percussionist with experience from symphony orchestras, concert bands, heavy metal bands and even Indian music; classical and Bollywood.

Mission 👇

To Share, serve, empower & grow.

My mission is to give value to as many people as I can. From business owners, developers right through to students/graduates trying to understand the recruitment process and the importance of have a digital footprint and building their brand. Please get in touch. I want to hear your story!

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Final Note:

If you have read this article to this point, I would personally like to thank you and sincerely express my gratitude and appreciation for taking the time to do so. I would love to hear your feedback and comments, regardless of the sentiment, it’s the only way I can learn, grow and provide even better value. The fantastic community humbles me on here, and I am feeling blessed to have a chance to connect with such beautiful people. — Shantesh Mani