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Five Important Tips to Succeed as A Data Scientist

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With the rise in digital transformation, a career in big data is the most promising career at the moment. Data scientists are gaining momentum in the tech field. They top Glassdoor’s list of the best jobs in America for 2019.

From manufacturing to retail, food to the healthcare industry, defense, and almost any industry you name have realized the advantage of analytics in business success. By 2020, IBM expects that the demand for data and analytics talent would reach 2.7 million positions in the US alone.

“Data scientists help companies interpret and manage data and solve complex problems using expertise in a variety of data niches,” says Dolan, Director of Recruiting, Mondo, New York. As the data becomes crucial for an organization’s survival, there is an appreciable increase in the job salary too. However, great demand and great salary may not fetch anyone a data scientist job. Earning a job in the big data industry is challenging too.

The data scientists must keep up their skills to thrive in the big data industry. Moreover, they need a combination of technical and interpersonal skills. Skills are lucrative to data scientists. Let’s have a quick rundown on the important tips to succeed in the career.

Important Tips to Succeed as A Data Scientist

“Being a data scientist doesn’t mean sitting alone with your computer all day. I think successful data scientists think bigger than their individual project or algorithm,” says Tal Segalov, Chief Data Scientist at Anaplan.

Choose your field

You must have a vision while starting a new big data career. A career focus is the first and crucial step. There are various roles within the data science field such as market research, data visualization, data engineer, etc. Choose your affinity and talk to experts in the field.

It is best recommended to network in the industry, obtain insight from working professionals, and determine which field fits your skill sets and interest. You can learn predictive analysis, Artificial Intelligence, or any other big data technologies to scale your business.

Start building your expertise

Once you chose your niche in the big data industry, start building your expertise in the selected field. Though the big data career path varies, there are certain skills shared by everyone. To mention a few, they include marketing and analysis, product management, database management systems, cloud computing, statistics, applied math, data migration, visualization, business intelligence system, and so forth.

There are many resources available online and offline as well today to quench the thirst for big data knowledge. Try a few big data online courses or secure the most popular big data certifications to stand out among your peer group.

Never stop learning

It is necessary to keep your skills updated. Read, read, and read always. Read academic research papers, blogs, subscribe to newsletters, join a peer group, attend conferences, and grab any opportunity to stay updated. Stay updated on the latest trends and happenings in your field. These sorts of practices help you to drive career development and professional success.

Though certified big data professional(s) are in high demand everywhere, strive to create an impact in your organizations with communication ability and other interpersonal skills. Apart from strong technical skills, it is essential to communicate and navigate collaborations across cross-functional teams to drive success.

Focus on practical applications

While studying online courses or certifications, focus on the practical applications of learnings to gain an in-depth understanding of concepts and how it would get applied in reality. It is recommended to work on a few open data sets, interpret results, become familiar with data analysis, and take a look at the solutions suggested by people in the field.

It is important to realize the work of other stakeholders in the organization. It helps you to make the right move. Seek help from professionals to learn the tracks on how the data works in the real world.

Recognize the opportunities

It is wise to start with your current organization. Your organization will be the ideal platform to showcase your skills. Stick to the basics when you first encounter the real-time data world, leverage your skills by grabbing every opportunity you notice them.

Furthermore, maintain a record of work experiences. Highlight them in your resume and display them to the top management during the appraisal season. Nurture your data skills throughout.

Apart from all these technical and soft skills, there are lesser-known skills (lesser in the sense, it does not strike the mind) too. Creativity is one skill that is essential in the field of data science. It is necessary to have a creative angle to approach a problem, then fuse them with logic, machine learning, and data science.

Data science calls for different skill sets at play.

Above all, ensure that you enter the big data industry with passion. Passion keeps you going a long way.

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