Big data is a growing field with a large opportunity for growth, but how do you secure one of those jobs? By getting experience and education in math, statistics, and programming such as Python, SQL, and R. Once you have that, prepare to do some searching because these positions do not always have the same job title. “Howe compares a data engineer role to that of a software engineer who also has a background in statistics, and a data scientist to a statistician with an expertise in computer programming. A data analyst aligns with a business analyst who has augmented their skill set with statistics and computer programming.” Focus on your skills, try out some coding boot camps, and get to work.
As the world is becoming awash in big data, demand is quickly growing for skilled workers who can help companies experiment with new ways to make decisions using data. Craig Reynolds, a principal and consulting actuary at Milliman in Seattle, says the breakout of data science in the life insurance world is biggest single trend he has seen in his 30-year career in insurance. Read More
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