Posts tagged data scientist
Welcome to the Age of Explainability

Modern life has been good for those who understand and can develop analytics. From sex to soccer, data and algorithms are having an increasing impact on how important decisions are made. But it hasn’t been as pleasant for those who don’t understand algorithms but are still subject to the decisions they help to make.

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So, You Hired a Data Scientist – Now What?

You’ve spent a lot of time and energy finding just the right person to fill your new data scientist role. The individual has settled into the position and is proving to be a successful hire for your organization. Looking forward, what can you do to retain the individual and help him or her stay engaged and successful?

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Article Review: The New Job Description for Data Scientists

The New Job Description for Data Scientists, an InformationWeek article by Rich Wagner, outlines important trends about the future of data scientists and their role in analytics functions. This blog covers key takeaways from Wagner’s article and three recommendations for analytics leaders based on the trends discussed.

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Don't Mistake a Legacy Skillset for a Legacy Mindset

It goes without saying that the analytics and data science space is undergoing change at an unprecedented pace. At the same time, many organizations have a lot of people who are still working in the same way using the same skills they have had for years. Organizations certainly need to move beyond those legacy skillsets and the need for a skills update is real. However, I see many organizations assuming that those with legacy skillsets are no longer valuable and must be replaced. This is a mistake. There is a huge difference between a legacy skillset and a legacy mindset. The two are not the same!

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Dueling Schooling On Big Data And Analytics

There’s been a lot of discussion about the shortage of quantitative analysts and data scientists in this world, and many people wonder where they will all come from. Today I have good news and bad news for you. The good news is that there are a rapidly growing number of educational institutions that are offering courses, concentrations, and degree programs in analytics and big data.

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What Makes A Great Analytics Professional?

With the tidal wave of big data upon us, organizations need the right analytical talent to use this data to make important business decisions. But many hiring managers are in the dark as to the traits of a great analytics professional, and many misconceptions exist. In many instances, organizations focus too narrowly on a person’s technical skills. While strong technical skills are necessary, these skills alone are not sufficient. To be a great analytics professional, individuals need critical “soft skills” which include commitment, creativity, business savvy, presentation skills, and intuition.

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Keep Your Data Scientist... Send Me A Data Artist!

There is a lot of hype about the new position of “Data Scientist” (see January’s Fortune magazine). I am always happy for analytics professionals to get recognition and excitement about what we do and I’m not really hung up on what title is used. However, if you take the time to think about it, the roles and responsibilities of a data scientist are virtually identical to what analytics people have been doing for years - a fact that seems to get lost at times.

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