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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– Twitter– LinkedIn
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– [email protected]
• (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
