What companies hiring Data Scientists and hadoop developers are looking for
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What Companies Hiring Data Scientist and Hadoop Developers Are Looking For By Bob Kelly
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Transcript of What companies hiring Data Scientists and hadoop developers are looking for
What Companies Hiring Data Scientist and Hadoop Developers Are
Looking For
By Bob Kelly
CareerPlanners Services Inc.
• Our focus is on Big Data opportunities
• Vendors like: Cloudera, Hortonworks, MapR, SAP
• Their customers and partners:
– Oil and Gas: (VERY large petroleum company)
– Service Providers to Auto and Ins.: (Agero, etc.)
– Social Media: (Match.com, etc.)
– Partners: (nVent, etc.)
– Government: (Civilian and Defense Depts.)
Agenda
• Which companies are hiring for Data Scientists
& Big Data Developers.
– Salary and benefits comparison (Later in the slides)
• Overall hiring strategies.
• Insight about "What and How to prepare for
Data Science / Big Data Developer related
Interviews".
Companies looking to hire
• Almost every company is hiring, if you
“look”
– Especially ones that acquire other companies
• How do you select the company?
– Industry?
– Location?
– Size?
• Datajobs.com
Strategies to use on hiring Mgr.’s, HR and Recruiters
• Demonstrate your eagerness
– At the end of your interview, tell the hiring manager that :
• You can do the job
• You are within their budget
• You can start immediately!
• Ask the recruiter or hiring manager (How will they know,
when they have the right candidate?) Because the
company is hiring this person for a real good reason.
– For example: What tasks does the “right candidate” need to do
• e.g. Create an enterprise architecture within 120 days.”
• Build trust between departments.
Strategies to use on hiring Mgr.’s, HR and Recruiters
• Don’t rely on any one (or two…) recruiters for a job.
– Nobody will take getting you a job as serious, as you.
NOBODY!
• Leverage your network
Data Science / Big Data Developer Interviews
• Every hiring managers needs different.
– You need to know what he/she really needs
• Know your weakness, and be prepared
to address it!
– “You don’t have enough years experience.”– Illustrate that you have done the task the client
needs without “X” years of experience.
Data Scientists
• Increase your Business Acumen
– If you come from the academic side, they need to develop their business acumen.
The best Data Scientist will be able to relate pure data to the real world
applications
• If Excel is your workhorse analysis tool, you need to switch “horses” quick!
(On the other hand, knowing Hadoop, Python, SAS or R won’t guarantee
you job.)
• As a DS, you need to add value to your data findings, through visualization
and giving context of how the data can help solve complex problems
• One study showed that 88% of DS had Master’s degrees and 46% have a
Ph.D.
Annual Salary Breakdown
• Data Analyst – (aka Data Scientist In-Training)
– Entry Level $50K – 75K
– Experienced $65K - $110K
• Data Scientist - (Always exp’d, heavy stats &
machine learning, no entry level)
– $85K - $170K
– $250K+ unique situations (e.g. Hedge funds or
advanced algorithm dev.)
Annual Salary Breakdown• Data Engineer/Admins
– Junior / Generalist $70K – 115K
• Big Data Engineer
– Domain Experts $100K - $165K
• (a) Seniority and (b) Depth of specific
experience
– MongoDB, Cassandra, Memcach, Realtime
systems, etc.
Median Salary by Industry
Size of DevOps Team
Typical Size of DevOps Team
Company Location
What Positions Makeup DevOps
Most Important General Skills
Contact Info
• Bob Kelly
• Kim Kelly
• (561) 745-6945 - O
• (561) 909-9709 – C
• Twitter: @CareerPlanners
• LinkedIn: https://www.linkedin.com/in/careerplanners
Click here to know more about DeZyre’s IBM Certified Hadoop Developer course
Click here to know more about DeZyre’s IBM Certified
Data Science with Python course
