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Least popular jobs for big data practitioners - jobs you want to avoid

Usually, data scientists receive unsolicited job interview requests pretty much every day. Yet, there are some projects for which - instead of getting job interview requests - you get the opposite: consulting firms sending you unsolicited messages about their internal candidates that they are desperate to place.

The email I received today features the following consultants, and I guess they must not be in high demand:

Business Objects/Crystal Reports

  • Devendhar in NY, Open to relocate
  • Pavan in MN, Open to relocate
  • Mohan in WI, Open to relocate

SQL SERVER/SSIS/SSRS/SSAS

  • Mani in VA, Open to relocate
  • Nikitha in VA, Open to relocate
  • Vinay in IL, Open to relocate

Cognos Developer

  • Krishna in NY, Open to relocate
  • Sai in IL, Open to relocate

INFORMATICA Developer

  • Supriya in MO, Open to relocate

ANDROID Developer

  • Deepu in IL, Open to relocate

SOA Architect

  • Ravi in GA, Open to relocate

DATA STAGE Developer

  • Raj in MO, Looking in OH, IN, WI, MI, MN,IL

Quality Assurance Analyst

  • Shubhangi in NY, Looking in NYC and CT only

Does it mean that these skills are becoming obsolete? Evidently you can not make conclusions based on anecdotal evidence, so I ask you the question: what skills/training should be avoided, if you want career growth in data science? We know the ones that are hot (R, Python, Hadoop, Machine Learning), here we want to identify those leading to dead-ends.

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Nearly all of the above are not necessarily useful for a data scientist but are VERY useful for a business intelligence developer.  And realistically, a good BI infrastructure can be a great deal of help for getting a new analytics project off the ground.  So I would hardly call these skills either obsolete or problematic.  More likely, however, they are incorrectly directed.

I basically agree w/ Rebecca. Especially on the value of a good BI infrastructure.

OTOH, the candidate list you received was mostly tool based. With the exception of SQL Server I would say they all are declining in relevancy. 

For me, "scientist" part of data science means you need to learn how to think like a scientist and not focus on one particular methodology. Sure, one needs tools, but the tools you use are secondary and will change over time and with the job at hand. One of the most important thing you should learn as a data scientist is how to pick up a new tool quickly.

BTW, in the past I was both a Crystal Reports & Cognos reseller/consultant. I've touched neither in the last decade.

 

I would take a different view - I notice that all these consultants have Indian names.  Could it be that they are all consultants working with an Indian global services firm (e.g. TCS, Infosys, Wipro, HCL) who are coming towards the end of their assignments, and are keen to remain in the US, rather than head back to their base in India?  If they are on deputation from India, they will have been through a rigorous and expensive employment permit process, and both they and their employer will be keen to keep them deployed in the US whilst they still have permission to work there.... 

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