Data Science

IBM’s First Certified Data Scientists: “It’s Amazing”

Share this post:

Brian Johnston, Lead Data Scientist in the IBM Chief Analytics Office.

When IBM Chief Economist and Data Science Profession Leader Martin Fleming announced an effort to create a first-of-its-kind Data Scientist certification, Brian Johnston thought it was “a really cool idea.”

But Johnston, Lead Data Scientist in the IBM Chief Analytics Office, wasn’t sure about finding the time to undergo the assessments and skills validations required to earn the certification. “Then Martin Fleming said this should be less about doing extra work, and more about getting credit for the work you’re already doing,” Johnston said.

Johnston, one of the first 140 IBMers to earn the data science certification, had plenty of world-class experience to draw from, including projects underway on workforce analytics and using machine learning methods for skills forecasting. In a field with so many unfilled jobs, clients know the value of working with data scientists who have proven expertise. “As the field grows,” Johnston says, the data scientist certification “may be seen as essential.”

“It’s a great thing,” said Ana Paula Appel, Master Data Scientist at IBM Research in Brazil, who was the first person in the country to earn the certification. She recently had a meeting with a client who had heard about the certification. “He was very impressed,” she said. “It’s hard to prove you can handle lead projects with clients. Certification gives clients the certainty they’re getting people who can do the job.”

Ana Paula Appel, Master Data Scientist at IBM Research in Brazil.

It took Appel four months to complete the certification process while working on high-value projects for some of Brazil’s biggest companies, including top banks and healthcare companies. She says having the certification has been welcomed by clients as a stamp of approval that she really knows applied data science—not just a theoretical skill. That’s important.”

Appel hopes that by being the first person in her country to earn the Data Scientist certification, she will encourage others—especially women—to pursue careers in the field. “For Brazil, it’s still very new,” she said. “But it’s important to show other women they can do it and have the skills.”

The certification, which is portable, brings validation to IBM data scientists as the best in their field, and gives them access to a larger community of scientists, who review work as part of the evaluation process. “It was nice to talk to them,” said Johnston. “To get feedback, constructive criticism, and chat about data science careers.”

Now that he’s certified as a subject matter expert, Johnston’s begun working to review applications from other data scientists as the certification process expands and grows—all valuable experience that would usually come with a huge cost if someone tried to do it on their own. “The cost is very high,” said Appel, who would not have gotten the certification if IBM had not covered all the costs in an effort to support IBMers working at the heart of the company’s AI transformation. “It’s a great thing,” Appel said.


THINK Blog: Building Data Science Strength from Within

Narrative Content & Strategy, IBM

More Data Science stories

Some Assembly Required: What’s Ahead in Automotive Design

Industry 4.0 has arrived in the automotive industry, bringing substantial shifts in worker skill sets, line machinery maintenance and production quality control. According to the Association for Talent Development, knowledge workers are now in demand on factory floors, and CIO notes that proactive maintenance could help organizations cut the $50 billion they spend each year […]

Continue reading

Rethinking the Mayflower: How I Came to Build an Autonomous Ship to Cross the Atlantic

To cross the Atlantic with an unmanned, autonomous ship will push technology to its limits. Like the Mayflower’s 101 passengers in 1620, we’ll also need a lot of help and some good luck. I grew up in Boston, Massachusetts. I spent a lot of time messing around in the ocean, swimming and diving. Unlike my […]

Continue reading

Building Data Science Strength from Within

Filling gaps in portfolios, improving upon products and making them not just whole, but advanced, is part of most organizations’ business regimen. It’s the kind of work, the kind of commitment to constant reflection and improvement that separates the successful from the not-so-successful. This philosophy transcends to people, as well. If a gap exists in […]

Continue reading