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 • 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

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 don’t 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 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.

9. 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.)

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, Realtimesystems, 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@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

18. 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