Knowledge science jobs are among the many most coveted careers in America, taking the no. 1 spot on Glassdoor’s Greatest Jobs in America checklist for the previous three years, and boasting excessive common salaries for these with the suitable talent set. These professionals report excessive job satisfaction as properly, in keeping with a latest report from Determine Eight: 89% of knowledge scientists stated they love their job, up from 67% in 2015.
Demand for knowledge scientists stays excessive, the report discovered: 49% of the 240 knowledge scientists surveyed stated they get contacted no less than as soon as per week for a brand new job. A part of the explanation for that is extra corporations are increasing their assortment and use of knowledge, and wish an expert who can parse via it to drive enterprise insights and apply it to new applied sciences like machine studying and synthetic intelligence (AI).
Some 90% of knowledge scientists say that a few of their work informs AI and machine studying tasks, the report discovered. Almost 40% stated majority of their work does so. Nonetheless, that does not imply the work is with out its challenges: Some 55% of respondents stated that the standard and amount of coaching knowledge is the most important problem of their work.
SEE: Job description: Knowledge scientist (Tech Professional Analysis)
Knowledge science and machine studying stay comparatively younger fields, so there’s not but overwhelming consensus on what languages, instruments, and frameworks are greatest. Whereas the machine studying group has largely begun utilizing Python (61%), in keeping with the report, there stays huge variability within the machine studying frameworks in use.
Listed here are the highest 10 machine studying frameworks utilized by knowledge scientists, in keeping with the report:
PandasNumpyScikit-learnMatplotlibTensorFlowKerasSeabornPytorch & TorchAWS Deep Studying AMIGoogle Cloud ML Engine
It is price highlighting that many of those standard instruments are open supply—together with Pandas, Numpy, Scikit-learn, Matplotlib, and Tensorflow—indicating that this group prefers open supply, community-driven software program, the report famous. Since many of those frameworks have been round for years, it is possible that early adopters at the moment are very conversant in them, and that it’ll take time, effort, and high quality of efficiency for others to unseat them from the highest slots.
The large takeaways for tech leaders:
49% of knowledge scientists get contacted no less than as soon as per week for a brand new job. — Determine Eight, 2018Pandas, Numpy, and Scikit-learn are the preferred machine studying frameworks for knowledge scientists. — Determine Eight, 2018