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You’re probably a “math person” — and you may want to consider pursuing a job that requires these skills.

Turns out, a lot of math-centric jobs pay pretty well.

We recently combed through the Occupational Information Network (O*NET), a US Department of Labor database that compiles detailed information on hundreds of jobs, and looked at salary data on the US Bureau of Labor Statistics’ website to find positions with a median annual salary of over $75,000 that require heavy math skills.

O*NET ranks how important “using mathematics to solve problems” is in any job, assigning each a “math importance level” between 1 and 100.

Here are 14 high-paying positions with a math-importance level of 70 or higher:

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• New prime number, 10223 × 2^31172165 + 1, is 9.3 million digits long
• Mathematicians say it’s the seventh largest prime number known to date
• Number takes one candidate for lowest Sierpinski number out of running

Mathematicians have discovered a new prime number that is more that nine million digits long.

And, they say it could help to solve the decades-old ‘Sierpinski problem.’

While it’s not the longest ever found, the existence of the new prime, 10223 × 2^31172165 + 1, now takes one of the six possible candidates for the lowest Sierpinski

Read more: http://www.dailymail.co.uk/sciencetech/article-3984110/Researchers-reveal-new-prime-number-help-solve-50-year-old-maths-puzzle-s-9-3-MILLION-digits-long.html#ixzz4RVZPEVH1
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Composed of over 1,800 chemical components, coffee is one of the most widely-consumed drinks in the world. The seeds (coffee beans) from the plant of the same name are roasted and ground, allowing a flow of hot water to extract their soluble content. Undissolved solids are filtered from the dissolved particles, and the resulting liquid becomes the concoction that much of the population drinks every day.

Read more at: http://phys.org/news/2016-11-mathematics-coffee-ideal-brew.html#jCp

A collaborative of researchers has developed a filtering model with an associated scalable algorithm that makes accurate predictions of individuals’ preferences. The new approach is based on the explicit assumption that there are groups of individuals and of items, and that the preferences of an individual for an item are determined only by their group memberships.

Read more at: http://phys.org/news/2016-11-algorithm-individual.html#jCp