Blacklist Rumors Debunked, Data Scientist Salaries [DiceTV]

Do staffing firms ever blacklist IT Consultants? …Are there $140,000 salaries out there to be had by data scientists? …And are you aware that we’ve added a new Dice Talent Community? I’m Cat Miller and this is the DiceTV Update for Tuesday, June 12, 2012.

Comments

  1. BY Jason says:

    What are some example Business Intelligence certifications? Analysis certifications?

    • BY Steve says:

      Jason,

      Does Google function on your PC, tablet, or phone? There’s your answer.

      • BY Jason says:

        Thanks, but does your website collect all relevant information to its purpose conveniently in one place, or does it direct users to google everything?
        I think this would be something beneficial to post here.

        Also, those terms are somewhat soft, representing ideas. The results for such a search do not give clear indications of the trusted, industry standard. The first 5 Google searches provides results for 2 different certifications. While Dice is trying to attract readers by using their expertise to recommend an up and coming trend, I am trying to draw further on Dice’s expertise to recommend a particular certification best suited to that trend. That can be better obtained from someone in the field and not as easily from Google. If you had your way, Dice would cease to recommend even up and coming trending ideas so we could instead just google for them.

        But thank you for being snide. If it weren’t for you, the internet wouldn’t be what it is.

  2. BY antarr says:

    Would a MBA be more preferable than an MIS when trying to enter the “Big Data” field?

    • BY Ati says:

      Hi Antarr,

      If your under graduate is in a technical field such as Math, Comp Sci, I.T, Statistics etc and you wnat to pursue an MBA in finance or something then I would say yes.

      • BY Antarr says:

        I am currently on track to start in the graduate MIS program at my university. This program is offered by the Business School. My undergraduate degree is a Bachelors of Science and Computer Science. I currently work as a developer.

  3. BY Frances says:

    What about being “too old” for a job?
    Is there any good way to find out?

    • BY Ati says:

      Hi Frances,

      Take out “too old” and replace it with “experienced”. Success has more to do with your attitude, thinking and mindset, then your age. Ray Krock, founder of MacDonald s and who revolutionized American businesses, didn’t get his break until mid 50s. Col. Sanders of KFC met success in his 60s. Start thinking in terms of how you can create value, in the “Big Data” field, people who “KNOW” what the data means are extremely valuable, and that knowledge only comes through years of experience, and no college or university or degree etc can teach you that. If you are comfortable with computers and have basic skills ( I am just making assumptions here) then take a course in Excel, and become very good with Excel, it is used heavily in the business world and can open that proverbial door for you. Getting started and taking that first step forward is the key…

      • BY rosanal says:

        That’s a nice response – but the reality is that many of the HR gatekeepers these days are blatantly asking what year you graduated from high school – after they ask what year you received your college degree. Clearly, they are using this as part of their weeding out process before passing resumes on to the hiring manager. This is serious, in your face, age discrimination. These gatekeepers, in my opinion, are clearly missing out on some of the best candidates – not to mention they are crossing the line.

  4. BY Ati says:

    Hi Jason and Antarr,

    I work in the so “Big Data” field. So I will try and shed some light on the subject in a very

    concise manner, which is not an easy task. Here’s how it works, massive amounts of data from

    various source systems such as OLTP (Online Transaction Processing) systems, Databases,

    SpreadSheets, Web and other OLAP (Online Analytical Processing) systems etc have to be first

    extracted into specialized Data Warehousing systems, where this data goes through a Transformation

    (Understand that the data that is being extracted from all these different souces could be

    structured or unstructured or in different formats and data types) so first it has to be extracted

    and harmonized so that there are no discrepancies etc. Then this data is categorized, and for

    that purpose data models are created to store and house this data, these data models are

    represented as Data Structures which are generally called Data Sores/Cubes/Sets etc. Then the

    data that is stored in these data structures is accessed by software tools which allows the

    developer to build and structure this data into an application, KPIs, dashboards etc, which is

    then accessed by the business analyst and now the business analyst uses software tools to slice

    and dice, data mine and other kinds of techniques to find trends, historical analysis, predictive

    analysis, statistics etc etc. This is an extremely brief over view, but should give you an idea

    that from data generation, extraction and consumption, there are many steps and roles involved.

    Very broadly speaking these roles ar categorize as backend and frontend roles, backend roles are

    more technical in nature, where knowledge of programming, databases, networking etc are essential.

    As the data moves down stream the skills start leaning more towards the business side of things

    and less programming etc. But not necessarily, it all depends on what your business does with the

    data, it could be that once you get this data you might be involved in data mining where you will

    have to be comfortable with maths, statistics, sql, sas etc. A lot depends on your own interests,

    background etc. In my opinion, a combination of programming and accounting would serve you well.

    In other words a combination of business and technical skills is ideal. If you are just starting

    out then, I would get the technical skills first a degree, build that as my platform, then pickup

    courses in accounting, finance and then learn some specialized software. Unfortunately

    traditional colleges and univerisities are lagging behind in this education, you might have to

    look elsewhere, surprisingly community colleges are offering more courses that are practical and

    applicable towards work, its probably due to the fact that they have less red tape, many courses

    are taught by people who are actually working in the field and know what is current and relevant.

    Hope this is helpful. I wish you the best of luck and hope you achieve success in your chosen

    path!

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