Machine Learning Engineers, Data Scientists, and Big Data Engineers rank among the top emerging jobs on LinkedIn. Data scientist roles have grown over 650% since 2012.
Source: Enterprise Irregulars
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Machine Learning Engineers, Data Scientists, and Big Data Engineers rank among the top emerging jobs on LinkedIn.
Source: Linkedin Blog18504
Machine Learning Engineer, with avg. salary of $136K and Data Scientist, with avg. salary $133K are among the top US jobs in 2018, according to job site Indeed.
Source: HOB34176
Annual salaries for data scientists and machine learning engineers vary significantly across the world. Based on a 2017 Kaggle survey of data professionals, countries with the highest paid data scientists and machine learning engineers (in USD) were: US ($120K), Australia ($111K), Israel ($88K), Canada ($81K) and Germany ($80K). Countries with the lowest annual salaries were: Brazil ($35K), Poland ($29K), Ukraine ($25K), India ($14K) and Russia ($13K).
Source: HOB58590
KDnuggets poll finds that Machine Learning Engineer, Researcher, and Data Scientist have the highest job satisfaction. Job satisfaction usually starts high, but drops significantly after 4 years on the job. Data professionals in Asia and Latin America are most unsatisfied.
Source: HOB20505
When you think of the perfect data science team, are you imagining 10 copies of the same professor of computer science and statistics, hands delicately stained with whiteboard marker? We hope not!
Source: HOB12393
With the world accepting the fact that every company now is a tech company, no matter what its size or what product or service it offers, hiring the best programming language developers is crucial to survival.
Source: HOB17802
Software, product, and QA engineers are among the 20 fastest-growing roles in the Bay Area, according to Indeed.
Source: HOB10284
The report surveyed more than 700 software engineers on the Hired platform and analyzed proprietary data reflecting more than 170,000 interview requests and job offers over the past year.
Source: HOB23304
Data science is no exception. An end-to-end algorithmic business capability requires many functions, and so companies usually create teams of specialists: research scientist, data scientist, data engineers, machine learning engineers, causal inference scientists, and so on.
Source: HOB18099
Becoming a Machine Learning Engineer in a top company like AMAZON is a dream of every Machine learner. While it seems hard to crack interviews at amazon, with the right set of skills one can easily land up as a machine learning engineer in the company.
Source: HOB7509
House of bots offers tech-related information, like Artificial technologies, Machine learning, Robotics, Chatbots, Data analytics, Neural Network, and Cloud computing. HOB is the solution for different users like tech-savvy, job providers and job seekers, etc. HOB is a B2B platform.
Source: HOB7302
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