Top Skills Data Scientists Need To Learn in 2018 - insideBIGDATA

Spark: Spark is transforming how data scientists work by allowing interactive and iterative data analysis at scale. Data scientists who are familiar with Spark will be more attractive to companies in 2018, as this tool help reduce costs, increase profits, improve products, retain customers and identify new opportunities. Apache Mahout: Data science and analytics job demand is most prominent in the financial services industry, accounting for 19 percent of all openings. This is largely due to the growing concern about security on Wall Street, which has resulted in companies hiring data scientists to solve issues such as cyber security breaches and identity theft. Data scientists who can work with machine learning models and frameworks, such as Mahout, will be in high demand.