Predictive Modeler Needed to Forecast Career Paths by Resume Analytics
Summary:
A visitor to BigShotorNot.com – a new website – will either upload their resume or post a link to their LinkedIn profile. Then, using predictive analytics, with the algorithms having learned from prior resumes, a career path will be projected over the next 5, 10 or 20 years.
For example, if someone worked as an Underwriter’s Assistant for 2 years, as an Underwriter for 5 years, and then as the head of an Underwriting unit for 3 years, and wants to know what the next 10 years might look like algorithmically, the program might project that person as the head of a department for 5 years, and then as a Chief Underwriting Officer for 5 years.
That Underwriter should also be given the option to enter a fictitious job or degree for the next several years, so that they may run the algorithm again to see what differences those might make to their future career path.
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Preferred expertise/background that I am seeking:
-At least 3 years of predictive analytics experience
-Ability to work on your own with little guidance
-Inventiveness, curiosity, strong work ethic, speed
Expertise that is not required, but helpful:
-API programming experience
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The Plan:
BigShotorNot might need to be developed in stages by different people.
Stage 1 is taking thousands of resumes (LinkedIn profiles, likely), and learning from those which variables are most important to project a career path.
Stage 2 is programming the algorithm for use on a website. That website might use resumes exclusively from LinkedIn.
Stage 3 is website design and launch.
Stages 1 and 2 might be the same person, but I’m expecting that they won’t be the same person.
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How to apply:
Contact Claude Penland at ClaudePenland.com/contact or claude@claudepenland.com.
Your application should include:
-an estimate of the number of hours the project should take
-a rough outline of how you would go about attacking the project
-preferred compensation
-experience
-contact information
Regretfully, only those predictive modelers considered for the project will be contacted.
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Also see Data Mining Your Employees and LinkedIn’s Career Explorer.