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What Companies hiring data scientists and hadoop developers are looking for

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Title: What Companies hiring data scientists and hadoop developers are looking for


1
What ?Companies Hiring Data Scientist and Hadoop
Developers? Are Looking For
  • By Bob Kelly

2
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.)

3
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".

4
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

5
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.

6
Strategies to use on hiring Mgr.s, HR and
Recruiters
  • Dont 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

7
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 dont have enough years experience.
  • Illustrate that you have done the task the client
    needs without X years of experience.

8
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 wont
    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 Masters
    degrees and 46 have a Ph.D.

9
Annual Salary Breakdown
  • Data Analyst (aka Data Scientist In-Training)
  • Entry Level 50K 75K
  • Experienced 65K - 110K
  • Data Scientist - (Always expd, heavy stats
    machine learning, no entry level)
  • 85K - 170K
  • 250K unique situations (e.g. Hedge funds or
    advanced algorithm dev.)

10
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.

11
Median Salary by Industry
12
Size of DevOps Team
13
Typical Size of DevOps Team
14
Company Location
15
What Positions Makeup DevOps
16
Most Important General Skills
17
Contact Info
  • Bob Kelly
  • bkelly_at_cpsi-tech.com
  • Kim Kelly
  • kkelly_at_cpsi-tech.com
  • (561) 745-6945 - O
  • (561) 909-9709 C
  • Twitter _at_CareerPlanners
  • LinkedIn https//www.linkedin.com/in/careerplanne
    rs

18
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