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This blog post criticizes Microsoft's hiring policies, but it also offers solutions to fix the problems.
Microsoft has for decades asked the government for more H1B visas to fill their data engineering positions, but recently they've changed their rhetoric: according to their general counsel, they now want companies hiring H1B's to be punished by heavy tax penalties, and use the money to train local US employees to fill these positions, read this Seattle Times article for details.
We believe that Microsoft's argument is bogus. The real causes for not finding analytic talent are:
The issue with low salaries is easy to fix. First tell applicants that there is no income tax in Washington state, and costs of housing are far below California or the East Coast. In addition:
While Microsoft's workforce is much more diversified than many companies that attract top talent - you have more overweight, more older worker, more smokers, more slow speakers and more women than in many analytic departments in great companies such as Google, eBay or Amazon (I see these MSFT employees when they regularly show up in my favorite local restaurant) - it plays against them when recruiting analytic talent, perpetuating the same personality types.
My solution for Microsoft: create 50 small start-ups of 20-100 people, owned by Microsoft, and treat them as if these start-ups' clients were various Microsoft groups. Don't mention that these start-ups are actually Microsoft business units owned by MSFT. And get true successful start-up entrepreneurs to manage these entities and let them hire new employees using any way they see fit. All of a sudden you will be filled with these great analytic talents that you believe don't exist. And in addition, Microsoft will be able to do some fiscal engineering and make a few more bucks by moving profits and losses around these start-ups. And also, avoid regulations that apply only to large businesses (>50 employees).
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Comment
Why would having comparatively more women in MSFT's analytics department work against them in recruiting analytic talent? Your list of "personality types" (more overweight, more older worker [sic], more smokers, more slow speakers and more women) is baffling. Do you really mean to say that individuals that can be identified by those traits are bringing down MSFT's analytics department?
This is an intriguing 'start-up' solution that other large corporations should consider. Innovation is difficult for large autocratic corporations and that is what is wanted to keep them relevant.
Thanks, HURT - you didn't say anything wrong, and chances are that Mr Granville is probably my age, which is why his attitudes are so unfortunate.
My beef is with two statements:
- "you have ...and more women than in many analytic departments in great companies ... - it plays against them when recruiting analytic talent, perpetuating the same personality types.
- "Microsoft has probably been hit by various hiring discrimination lawsuits, so they must hire more older workers and more women I guess."
The secret to hiring good talent is to screen for and attach value to the attributes that get the job done - work ethic, training, creativity, experience, ability to work with others, and analytic thought process. PERIOD. To me, that's independent of gender -- either you can do the job or you can't -- what's hanging between your legs (or not) has nothing to do with anything.
Don't worry, Lynne, Vincent is probably much older than you :):):)...er...did I write something wrong ?
And what's wrong with hiring women, Vincent? (with right eyebrow raised with curiousity as she waits to find out how he's gonna tap dance his way out of a clearly sexist and highly irrelevant comment)
Excellent :):):)
I think being obsessed with cultural fit of job applicants is a trait MSFT shares with many other companies. What is culture and why should it be static? To me, there are only two types of cultures: "stay in the line" (inhibiting innovation) and truly innovative. Everything else (e.g., hiring based on one's look or hobbies) is superficial. In order to be successful in attracting top talent, companies need to hire ONLY based on professional skills, thus making the rules extremely simple and straightforward for job seekers.
Regarding recruiters/hiring managers, I think that they must shift from the exact matching based on experience (we need somebody with Java skills; does an applicant have them?) to the fuzzy matching based on competence (we need somebody with Java skills; an applicant knows C#, hence, she can quickly master Java as both languages are quite similar).
A few more comments regarding my article:
Microsoft has probably been hit by various hiring discrimination lawsuits, so they must hire more older workers and more women I guess. Then the trend feeds onto itself. While they might save some money as salaries tend to be lower for some of these categories (In the US, is there is a negative correlation between obesity or female gender or smoker or slow speaker and salary, for the exact same job?), they must have bigger health insurance premiums to pay.
All in all, I didn't say they were more older / overweight / etc. than (say) GE and IBM - I believe that they represent the average US population. But certainly very different from Bay Area data scientist working hard and efficiently on truly promising and competitive technologies: these guys, unlike MSFT employees, do not represent the average American.
However they do find talent here in the UK (obviously we Brits are special, although we drive on the wrong side of the road and drink warm yeasty beer) - in that they fund a big Machine Learning research centre in Cambridge.
Tony
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