Reference and guide to SFIA version 7. Framework status: Development.

#33 Data Science - New Skill?: change request accepted

A new data science skill is required.

From Australian Public Sector SFIA Forum:

Debate around informatics and data.  Generally all felt that the existing SFIA skills around data could encompass the needs of informatics but only for those very knowledgeable about the details in each data related skill.

The justification for suggesting additional data related skills is as follows:

  • There is a significant drive for large integration of data and interoperability of systems
  • IT is to a large extent the engine for ensuring that the data can be used and not the driver.
  • The importance of data in terms of what it is, its quality and integrity is often more important then the systems that manage it

As a comparison there are 20 service management skills but only about 5 data skills and the language focuses doesn't reflect the importance of data adn its use.

Attached to Analytics

accepted

What we decided

Accepted. Requirement is to explain which SFIA skills are relevant to Data Scientist role.

What we changed

  1. There are anumber of skills in SFIA7 which Data Scientists can utilise. Note the general caveat that SFIA skills need to be considered in the context of the employing organisation (e.g, employer's business objectives, organisation design, role design, specific roles and responsiblities).

    # - updated for SFIA7, ## - major update for SFIA7, * - additional skill for SFIA7

    Candidate skills for Data Scientist

    • Programming/software development ##
    • Analytics ##
    • Data visualisation *
    • Data management
    • Systems design #
    • Solution architecture #
    • Research ##
    • Emerging technology monitoring ##
    • Specialist advice ##
    • Data modelling and design #
    • Database design #
    • Database administration #
    • Business modelling
    • Storage management
    https://www.gov.uk/government/publications/data-scientist-skills-they-need/data-scientist-skills-they-need
SFIA7 Project Manager (Peter Leather) says:
Sep 07, 2017 01:01 PM

These maybe a useful cross reference?

7 data science certifications that will pay off
https://www.cio.com/article/3222879/certifications/7-data-science-certifications-that-will-pay-off.html

14 big data certifications that will pay off
https://www.cio.com/article/3209911/certifications/big-data-certifications-that-will-pay-off.html

John Godsell says:
Sep 11, 2017 01:23 PM

This is extracted from Wikipedia.

https://en.wikipedia.org/wiki/Data_science



Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured,[1][2] similar to data mining.

Data science is a "concept to unify statistics, data analysis and their related methods" in order to "understand and analyze actual phenomena" with data.[3] It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science, in particular from the subdomains of machine learning, classification, cluster analysis, data mining, databases, and visualization.

Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge.[4][5]

When Harvard Business Review called it "The Sexiest Job of the 21st Century" [6] the term became a buzzword, and is now often applied to business analytics,[7] or even arbitrary use of data, or used as a sexed-up term for statistics.[8] While many university programs now offer a data science degree, there exists no consensus on a definition or curriculum contents.[7] Because of the current popularity of this term, there are many "advocacy efforts" surrounding it.[9]

John Godsell says:
Oct 10, 2017 11:57 AM

I have recently proposed some SFIA skills to map to the GDS DDaT role of Data Science. INAN,INOV, BSMC and RLMT are candidates for inclusion for the role. I should appreciate thoughts. Thanks

Jen Wilkins says:
Dec 17, 2017 09:11 PM

Hi
I'm really interested in this debate. Until a few months ago, I was a resource manager for a software development consultancy. Their career framework was based on SFIA. I've recently moved to the same role in a data science consultancy and am trying to help them set up a career framework for their consultants. From looking through SFIA 6 I don't think there is a skill that works for us.

The Civil Service seems to be the best source that I can find. https://gss.civilservice.gov.uk/blog/2016/12/developing-data-scientist-career-path/

I'm certainly interested to see if this will be included in SFIA7...

John Godsell says:
Dec 18, 2017 02:17 AM

It is important to remember that SFIA addresses the SKILLS element of any role. Not necessarily behaviours ( although the generic skills can be used for this). Knowledge, qualifications, experience are additional elements that are not part of SFIA. Similarly the actual activities for a specific role. There is no doubt that the following SFIA skills can be used in a variety of Data Scientist roles alongside the relevant generic level descriptions. INAN, RSCH, DTAN, INOV. It depends how wide a role one is considering. It's possible the role may also address DATM and possibly DBDS and PROG in some cases. So SFIAS does address the role depending on what you believe a Data Scientist needs to do. I am currently in debate on this across Government.

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