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Top Industries and Employers Hiring Data Scientists in 2022 - KDnuggets
The beauty of Data Science has been implemented in many industries, and with application in these sectors has taken them to the next level. More companies are figuring out new ways to remain competitive and 10 steps ahead, therefore the demand for Data Scientists continues to grow. The beautiful thing about Data Science is that you can move between sectors and take your skills with you. Below is a list of the top Data Science industries and the companies that are actively hiring Data Scientists. Jobin Thomas stated that according to Linkedin, by 2026 there will be 11.5 million jobs in this sector.
Senior Data Scientist
Momentive (NASDAQ: MNTV) (formerly SurveyMonkey) is a leader in agile experience management, delivering powerful, purpose-built solutions that bring together the best parts of humanity and technology to redefine AI. Momentive products, including GetFeedback, SurveyMonkey, and its brand and market insights solutions, empower decision-makers at 345,000 organizations worldwide to shape exceptional experiences. More than 20 million active users rely on Momentive to fuel market insights, brand insights, employee experience, customer experience, and product experience. Ultimately, the company's vision is to raise the bar for human experiences by amplifying individual voices. We are looking for a Sr Data Scientist who will design data science projects including experimentation, Survival Analysis, Topic modeling, and classifications.
Top Employers for Artificial Intelligence (A.I.), Machine Learning Jobs
Let's say you're interested in working with artificial intelligence (A.I.), perhaps with a focus on machine learning. Although the market for A.I. skills remains relatively small, those who've mastered the core concepts can potentially earn quite a bit in compensation--and work on some very cool projects. Even if you have the right skills, though, where do you even begin looking for jobs? Many companies don't bother to post their A.I.-related jobs publicly, since they often have a candidate already in mind for the role. Other A.I. specialists are drawn directly from academia.
Senior Machine Learning Engineer
Momentive (formerly SurveyMonkey) is a leader in agile experience management, delivering powerful, purpose-built solutions that bring together the best parts of humanity and technology to redefine AI. Momentive products, including GetFeedback, SurveyMonkey, and its brand and market insights solutions, empower decision-makers at 345,000 organizations worldwide to shape exceptional experiences. More than 20 million active users rely on Momentive to fuel market insights, brand insights, employee experience, customer experience, and product experience. Ultimately, the company's vision is to raise the bar for human experiences by amplifying individual voices. The Machine Learning Platform (MLP) team's charter is to build out a machine learning platform that accelerates the efficient adoption of machine learning across all Momentive portfolio products.
Senior Data Engineer - Streaming
Momentive (formerly SurveyMonkey) is a leader in agile experience management, delivering powerful, purpose-built solutions that bring together the best parts of humanity and technology to redefine AI. Momentive products, including GetFeedback, SurveyMonkey, and its brand and market insights solutions, empower decision-makers at 345,000 organizations worldwide to shape exceptional experiences. More than 20 million active users rely on Momentive to fuel market insights, brand insights, employee experience, customer experience, and product experience. Ultimately, the company's vision is to raise the bar for human experiences by amplifying individual voices. Our Data Infrastructure team makes up a portion of our Global Data team for Momentive.
How Cities Should Prepare for Artificial Intelligence
It's time for city administrations and local employers to close AI-related skills gaps. This article is part of an MIT SMR initiative exploring how technology is reshaping the practice of management. While there is much discussion of how artificial intelligence will continue to transform industries and organizations, a key driver of AI's role in the global economy will be cities. How cities deal with coming changes will determine which ones will thrive in the future. Many cities have plans to become "smart cities" armed with AI-driven processes and services, like AI-based traffic control systems, to improve residents' lives.