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Are You Happy With Your Data Scientist’s Productivity?

Do you know the importance of data scientists in an organization? How efficiently do you manage them? Do you focus on a data science program? How well placed you think your data scientists are? To answer all these questions, you need to know the trick of managing data scientists well.

In this article at Harward Business Review, Thomas C. Redman shares a list of smart steps to enhance the productivity of data scientists.

Bring Out the Best

Encourage your data scientist learn and adopt the modern trends and opportunities, try from the initial stage. By following the steps below, you can ensure that your data scientists are more productive and sharp to achieve desired results:

  • Step 1: Everything will be right if you take the first step right. So, clearly define the role of a data scientist to help them contribute in the appropriate direction. Instead of hiring them in bulk without clearly defining their roles, explain your needs and expectations associated with the role to them. Also, make sure you place them at the right spot and help them grab the existing opportunities.
  • Sept 2: Involve data scientists in your business to help them understand how things work. They should be self-motivated to scale up their abilities and skills to serve the core requirement of your organization.
  • Step 3: Like any other profession, even data scientists are accountable for bringing quality results to customers that will directly impact business growth. So, keep a close watch over their work, right from the beginning, to avoid future damage.
  • Step 4: The data scientists should be trained not to leave anything undone. The data scientists are placed to identify glitches in the company data, and they must be encouraged to keep track of follow-ups. Since the data scientists are highly paid, they must contribute to much better operations, customer insights, and revenue growth.

Eventually, placing the data scientists at the right spot is the key to bring anticipated results. Quoting his personal experience with AT&T, the author clarifies how data scientists can take the business to new heights. Click on the following link to read the original article:

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