Data Science vs Analytics

Oct 17 16 Comments

How do organizations/people differentiate between data science roles and data analytics roles?
I understand that different companies may have different requirements and so different definitions/expectations , but if you happen to have both teams/roles within your organization , then how do you differentiate work/JDs/titles/role description between the two?

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TOP 16 Comments
  • VMware / Eng
    tyxS31

    VMware Eng

    PRE
    Microsoft, Hulu
    tyxS31more
    Data Science is forecasting the future based on identifying trends and building models
    Data Analytics is reporting the current state using Analytics tools such as Tableaux
    Oct 17 7
    • Roku masters
      No itโ€™s likely you who are doing it wrong. Go ask around. Google, FB, Airbnb, Lyft, Amazon. None of them distinguish this way
      Oct 17
    • VMware / Eng
      tyxS31

      VMware Eng

      PRE
      Microsoft, Hulu
      tyxS31more
      Dude you sound like a Data Analyst who thinks he is a data scientist.
      Oct 17
    • Roku masters
      You sound like an engineer who doesnโ€™t know what heโ€™s talking about. There are a large number of data scientists who spend the majority of the time understanding causality through causal inference methodologies. That is almost all explaining the current not the future. Do you expect analyst to do this?
      Oct 17
    • Roku masters
      Similarly, there are many many analysts working on producing forecasts. Should they be called data scientists?
      Oct 17
    • Roku masters
      These are just two examples of why your framework does not work.
      Oct 17
  • Microsoft / Data ivFy30
    The key difference is the word science - following rigorous methods to come to a conclusion. While data analysts might examine data for insights, data scientists will step back and check if the data can be trusted (e.g. if data is from users is there survivorship bias), designed a study to answer a question (e.g. a controlled experiment) and follow the study end to end. The experience is not necessarily "more" in terms of years on the job but in terms of knowing the various research methods that make one a scientist.
    Oct 17 1
  • Microsoft grammarly
    Analyst broadly builds metrics dashboards for business , monitors and develop simple algorithms so business runs well. Science is broader where it helps brew new ideas using data that would improve business or developing insights that are not obvious and may have some overlap with research on data etc. science often requires higher education and little theoretical knowledge. Analyst requires more tooling and experience
    Oct 17 0
  • ICU Medical / Mktg
    user3.0

    ICU Medical Mktg

    BIO
    Trying my own thing but doing something for someone else. ๐Ÿคท๐Ÿผโ€โ™‚๏ธ
    user3.0more
    ๐Ÿฟ
    Oct 17 0
  • Twitch yikesman
    At Twitch they're the same. DS usually have more experience and/or PhD, and get paid more.
    Oct 17 0
  • Walmart suul61
    Theyโ€™re the same thing
    Oct 17 2
    • OP
      I am pretty sure they aren't. Just looking through ANY job posting in a decent tech company for data science and data analytics gives a stark difference between the two. Salary scales are also substantially different at most companies. Right?
      Oct 17
    • Walmart suul61
      DS in most places write group by queries or at best build models with little scientific understanding; something analysts can do as well. If you want to deliver real value and get paid much more to do it, switch to software engineering.
      Oct 18

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