Remaining resilient: Our 2023 analytics predictions

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The recent focus has been on training data scientists as generalists in coding, algorithm development, and open source on the most dispersed topics. However, data scientists need to gain industry-specific knowledge when faced with a real-world business problem. Often they lack an understanding of the dynamics, trends and challenges of a specific industry and the ultimate goals everyone is looking to achieve in that niche market – stalling projects at the onset. In 2023, data scientists with industry-specific knowledge will be the most successful in meeting business demand and expectations, and we will see data scientists seek specialized training.

The generalist data scientist becomes specialized
"The recent focus has been on training data scientists as generalists in coding, algorithm development, and open source on the most dispersed topics. However, data scientists need to gain industry-specific knowledge when faced with a real-world business problem. Often they lack an understanding of the dynamics, trends and challenges of a specific industry and the ultimate goals everyone is looking to achieve in that niche market – stalling projects at the onset. In 2023, data scientists with industry-specific knowledge will be the most successful in meeting business demand and expectations, and we will see data scientists seek specialized training." - Marinela Profi, Data scientist and Product Lead for Analytics and ModelOps

Report: How to solve the data science skills gap Data science: What is it and why it matters

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Caslee Sims

I'm Caslee Sims, writer and editor for SAS Blogs. I gravitate toward spaces of creativity, collaboration and community. Whether it be in front of the camera, producing stories, writing them, sharing or retweeting them, I enjoy the art of storytelling. I share interests in sports, tech, music, pop culture among others.

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