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

– bkelly@cpsi-tech.com

• Kim Kelly

– kkelly@cpsi-tech.com

• (561) 745-6945 - O

• (561) 909-9709 – C

• Twitter: @CareerPlanners

• LinkedIn: https://www.linkedin.com/in/careerplanners

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