Data Scientist/Statistician Job Market

The Bay Area specifically is currently suffering from an imbalance between data scientist positions and qualified workers to fill these openings.

I returned to the US from Shanghai almost a year ago and I’ve found the data scientist job markets to be quite different. In general, the employment atmosphere for qualified data workers in the US is much more friendly than the atmosphere in China. The “Big Data” wave has hit the US (particularly the Bay Area) hard, and demand for people who know how to pull/extract/transform/analyze/visualize data has skyrocketed. China’s economy is substantially more focused on production, industrial productivity, and quality control concerns and, consequently, the demand for data scientists is lower.

The Bay Area specifically is currently suffering from an imbalance between data scientist positions and qualified workers to fill these openings. Recruiters and friends alike contact me (and likely every other data scientist in the Bay Area) almost every day with data positions at tech companies large and small. I’m quite happy at my current job, so I’ve been passing these leads along to qualified friends graduating from school, but I also wanted to share a couple of resources that I think might be useful for budding data scientists looking for work:

1) LinkedIn – this seems to be recruiters’ primary platform. Everybody already knows this…
2) Burtch Works – these recruiters focus on the analytics market. Most positions here seem to be located in the MidWest. They are a little too SAS-oriented/marketing-oriented for my taste, but it is a valuable resource nonetheless.
3) Analytic Recruiting – these recruiters seem to have a wide geographic range.  Dedicated section for Wall St. quants if that’s your thing.
4) DataJobs – a relative newcomer on the scene. I don’t know much about them, but there are a large variety of data science listings.
5) R Jobs – this listing site just started out of R Bloggers and only has listings focused on R
6) Friends – I think this is always the best way.

 

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