Data scientists are popular, taking the number 1 spot in Glassdoor’s Best Jobs in America list in 2016 and 2017, with 4,84 position accessible and bragging a middle base pay $110,000. DevOps engineer came in second, with a middle base pay of $110,000 and 2,725 employment opportunities. Data engineer balanced the main three, with 2,599 employment opportunities and a middle base salary of $106,000. Data science employments are among the most difficult to fill, taking five days longer to discover qualified competitors than the market normal. Bosses will pay premium pay rates for experts with aptitude in these territories too. The most popular occupations in data science require propelled training, further driving up interest and pay rates for experts with these capabilities.
As indicated by Jim Webber, Chief Scientist at Neo4j, coming up next is a short rundown of the most basic tech skills for data scientists to embrace this year:
Start: Spark is changing how data scientists function by permitting intuitive and iterative data investigation at scale. Data scientists who know about Spark will be progressively appealing to organizations in 2019, as this device help decrease costs, increment benefits, enhance items, hold clients and distinguish new chances.
Tableau: Business data is developing at an exponential rate. With this extraordinary data comes incredible power, insofar as you can comprehend it. While Tableau is certainly not another item using any and all means for data scientists, it’s right around a table-stakes aptitude now. With business chiefs depending more vigorously on their data bits of knowledge than any other time in recent memory, 2018 will bring a more prominent requirement for data scientists to imagine and present data to the correct individuals at the opportune time.