A Data Science Central Community
For the very smart data science geek who wants to avoid all kinds of social interactions (that is: having no boss, no employee, no colleague, no client, no customer, no contractors, no interaction with vendors etc.), there are a few options. All of them allows you to work from home. Some (when automated) allow you to not work at all. They can generate good complimentary income or (if scalable) great income.
In practice, these opportunities are not real jobs but rather entrepreneurial initiatives that leverage the most sohisticated data science techniques, and they bring a complement of revenue rather than a full income. Also, these "occupations" are usually not fully automated (when they are - and sometimes they indeed are, you are litterally making money when sleeping). Only top talent with strong business acumen is able to succeed due to massive competition.
Here are a few of these jobs or activities:
Question: Are men more likely than women to be interested in these "no human interaction" types of activities?
Comment
As a recruiter, I have often encouraged the exceptional to strike out on their own. Most are stuck in the JOB and salary syndrome. Faith in the Paycheck and not their skills and communcations
Interesting, the concept of extracting competitive intelligence / insider information via bogus job interviews. Anyway, from my past experience, companies that invited me for a job interview usually had a boost in stock price in the next 30 days. So just the fact that you are invited for a job interview is a buy signal, for the stock in question.
You might also be able to create a start-up whose sole purpose is to
Interestingly, corporations sometimes do the reverse: they invite you for a job interview just to get free advice from an expert (you), or worse to try to learn about your IP and steal it.
© 2021 TechTarget, Inc.
Powered by
Badges | Report an Issue | Privacy Policy | Terms of Service
Most Popular Content on DSC
To not miss this type of content in the future, subscribe to our newsletter.
Other popular resources
Archives: 2008-2014 | 2015-2016 | 2017-2019 | Book 1 | Book 2 | More
Most popular articles
You need to be a member of AnalyticBridge to add comments!
Join AnalyticBridge