Title: What Companies hiring data scientists and hadoop developers are looking for
1What ?Companies Hiring Data Scientist and Hadoop
Developers? Are Looking For
2CareerPlanners 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.)
3Agenda
- 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".
4Companies 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
5Strategies 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.
6Strategies 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
7Data 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.
8Data 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.
9Annual 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.)
10Annual 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.
11Median Salary by Industry
12Size of DevOps Team
13Typical Size of DevOps Team
14Company Location
15What Positions Makeup DevOps
16Most Important General Skills
17Contact 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
18Click here to know more about DeZyres IBM
Certified Hadoop Developer course
Click here to know more about DeZyres IBM
Certified Data Science with Python course