The tech industry is hiring data scientists for positions in engineering, not simply for jobs like engineers, a new report from Technomic shows.
Tech companies are taking a more holistic approach to hiring for data science roles, instead of relying on jobs in the data center.
The companies are using data science skills to solve complex problems, such as improving cloud performance and scaling, the report found.
They’re also finding new uses for data scientists.
For example, Google, which has been hiring data science professionals for more than 10 years, is also hiring a new group of data scientists to help the search giant with its machine learning research.
Data scientists are being tapped for research in a number of areas, including machine learning, artificial intelligence, deep learning, robotics, machine learning analytics, and more.
And as tech firms look to improve their data science capabilities, they’re looking for data analysts with skills in machine learning and machine learning algorithms.
They are often hired in the same roles as engineers, who are paid between $50,000 and $80,000 annually.
But in recent years, the jobs in data science have increased, with the number of data science positions increasing by nearly 30 percent over the past year, according to Technomic.
The report highlights the data science role as one of the fastest growing fields in the U.S. and one that is ripe for growth.
While the number is not huge, it is growing fast.
The data science field has grown by over 25 percent since 2010, according the American Association of University Women.
More than 20 percent of data scientist jobs in 2014 were in the private sector.
The number is expected to continue to increase, according Technomic, with more than 2 million data scientists in the United States in the next three years.
Companies are also looking for more skilled data scientists, with a recent survey finding that the median salary for a data scientist is $65,000 a year.
That salary gap is a huge problem for those who don’t have a college degree or a high school diploma.
The American Association for University Women’s survey found that half of the data scientist candidates who were unemployed were female.
The median age for data scientist applicants was 34.5 years, and about two-thirds of the candidates were white, the association found.