{"id":56400,"date":"2020-02-12T00:00:00","date_gmt":"2020-02-11T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/da-oni-sushhestvuyut-chem-zanimayutsya-i-skolko-zarabatyvayut-data-science-spetsialisty-v-kazahstane"},"modified":"2026-02-14T19:13:56","modified_gmt":"2026-02-14T17:13:56","slug":"da-oni-sushhestvuyut-chem-zanimayutsya-i-skolko-zarabatyvayut-data-science-spetsialisty-v-kazahstane","status":"publish","type":"post","link":"https:\/\/prohoster.info\/et\/blog\/administrirovanie\/da-oni-sushhestvuyut-chem-zanimayutsya-i-skolko-zarabatyvayut-data-science-spetsialisty-v-kazahstane","title":{"rendered":"\u201eJah, nad t\u00f5epoolest eksisteerivad!\u201c Mida teevad ja kui palju teenivad andeteaduse spetsialistid Kazahstanis?","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Dmitri Kazakov<\/b>, andmeanal\u00fc\u00fcsi meeskonna juht Kolesa Group'is, jagab perspektiive esimesest kazahhi spetsialistide k\u00fcsitlusest andmet\u00f6\u00f6tluse valdkonnas. <\/p>\n

\"\u201eJah,
\nPildil: Dmitri Kazakov<\/p>\n

Kas m\u00e4letate populaarset fraasi, et Big Data sarnaneb k\u00f5ige rohkem teismeliste seksiga \u2013 k\u00f5ik r\u00e4\u00e4givad sellest, aga keegi ei tea, kas see t\u00f5eliselt eksisteerib. Sama \u00fctlesime ka andmet\u00f6\u00f6tluse spetsialistide turu kohta (Kazahstanis) \u2013 hype on olemas, aga kes selle taga seisab (ja kas seal \u00fcldse keegi on), ei olnud l\u00f5puni selge \u2013 ei v\u00e4rbajatest, ei juhtidest, ega ka andeteadlastest. <\/p>\n

Me viisime l\u00e4bi uurimus<\/a><\/noindex>, mille raames k\u00fcsitlesime enam kui 300 spetsialisti nende palkade, \u00fclesannete, oskuste, t\u00f6\u00f6riistade ja paljude muude asjade kohta. <\/p>\n

Spoileri osa:<\/b> jah, nad t\u00f5esti eksisteerivad, aga k\u00f5ik ei ole nii \u00fcheselt m\u00f5istetav. <\/p>\n

Meeldiv uudis.<\/b> Esiteks on andmete spetsialiste rohkem, kui me ootasime. \u00d5nnestus intervjueerida 300 inimest, kelle seas on mitte ainult tootearenduse, turunduse ja BI-anal\u00fc\u00fctikud, vaid ka ML- ja DWH-insenerid, mis on eriti r\u00f5\u00f5mustav. Suurimas grupis olid k\u00f5ik need, kes iseennast nimetavad andmete teadlasteks \u2013 see moodustab 36% k\u00fcsitletutest. Kas see katab turu n\u00f5udlust v\u00f5i mitte, on raske \u00f6elda, sest turg alles kujuneb. <\/a><\/noindex><\/p>\n

\"\u201eJah,
\n
\nH\u00e4irib ametitasemete jaotus \u2013 tiimijuhte ja juhte on peaaegu sama palju kui algajaid. Sellel v\u00f5ib olla mitu p\u00f5hjust. N\u00e4iteks suur hulk v\u00e4ikeseid 2-3 inimesega tiime, kus juhiks v\u00f5ib olla kesk- v\u00f5i kogenud tasemega spetsialist. <\/p>\n

\"\u201eJah,
\n
\nTeiseks p\u00f5hjuseks v\u00f5ib olla turul valitsev segadus rollide ja funktsionaalsete standardite osas. Tiimijuhiks m\u00e4\u00e4ratakse sageli inimesed, kes on lihtsalt t\u00f6\u00f6tanud aasta v\u00f5i kaks kauem kui teised, teadmiste ja oskuste tasemest hoolimata. N\u00e4eme seda ka funktsioonide jaotuses ametikohtade vahel \u2014 38% juhtidest ja tiimijuhtidest tegeleb andmete ettevalmistamisega ja veel 33% p\u00f5histatistilise anal\u00fc\u00fcsiga. <\/p>\n

\"\u201eJah,
\n
\n\"\u201eJah,
\n
\nSiin palusime vastajatel subjektiivselt hinnata anal\u00fc\u00fctika taset nende ettev\u00f5tetes. Kui l\u00e4hemalt vaadata, on n\u00e4ha, et 10% vastajatest, kes t\u00f6\u00f6tavad 2-3 inimesest koosnevates anal\u00fc\u00fctika osakondades, peavad end \"edasij\u00f5udnute tasemel.\" <\/p>\n

Mis on \"edasij\u00f5udnute tase\"?<\/b> BI-s\u00fcsteem t\u00f6\u00f6tab suurep\u00e4raselt. On olemas DWH ja Big Data. Korrap\u00e4raselt viiakse l\u00e4bi A\/B teste. Tootmises on t\u00f6\u00f6tavad ML ja DS s\u00fcsteemid. Otsused tehakse ainult andmete p\u00f5hjal. Andmetega tegelev osakond ja Data Science on ettev\u00f5ttes \u00fcks v\u00f5tmevaldkondi. <\/p>\n

Kogu selle loetelu saavutamine 2-3 inimesest koosneva osakonna poolt on praktiliselt v\u00f5imatu. Arvan, et selline k\u00fcsitluse tulemus on v\u00e4iksem kasvuhaigus \u2013 poisid ei saa end veel kellegagi v\u00f5rrelda, et oma taset objektiivsemalt m\u00e4\u00e4rata.<\/p>\n

\"\u201eJah,
\n
\n\"\u201eJah,
\n
\nOodatult kulutavad andmetehnikud k\u00f5ige rohkem aega mitte keerulise matemaatika v\u00f5i inseneritehnika peale, vaid andmete eelt\u00f6\u00f6tlemisele, v\u00e4ljundile ja puhastamisele. Igas spetsialiseerumises n\u00e4eme eelt\u00f6\u00f6tlemist kolme k\u00f5ige olulisema tegevuse hulgas. Keerulisi asju, nagu ML mudelite v\u00e4ljat\u00f6\u00f6tamine v\u00f5i Big Data k\u00e4sitlemine, n\u00e4eme aga kolme parima hulgas \u00e4\u00e4rmiselt harva \u2013 ainult ML- ja DWH-inseneride seas. <\/p>\n

\"\u201eJah,
\n
\nOn the downside, 40% of specialists set tasks for themselves. In Kazakhstan, only the top unicorn companies have grasped the advantages of working with big data and learned to do it effectively. They broadcast to the market that Big Data and Machine Learning are great, and the second tier is following suit, but they do not always understand how data work. Therefore, we see that specialists set their own tasks, while businesses do not always know what they want. <\/p>\n

\"\u201eJah,
\n
\nIt was surprising that 20% of specialists are unaware if their company has a Data Warehouse. Yes, and with systems database management<\/a> things are not so good \u2013 41% use MySQL, and another 34% use PostgreSQL. What does this indicate? They are working mostly with small data.<\/p>\n

\"\u201eJah,
\n
\nRegarding storage systems, we again see MySQL and even (!) Excel. But this could suggest, for instance, that most companies simply do not yet have a demand for working with big data. <\/p>\n

\"\u201eJah,
\n
\nHere, things are again ambiguous. Overall, salaries turned out to be slightly lower than I expected. <\/p>\n

\"\u201eJah,
\n
\nIsiklikult on mul raske ette kujutada ML-inseneri, kes on n\u00f5us t\u00f6\u00f6tama 200 000 tenge eest \u2013 t\u00f5en\u00e4oliselt on see praktikant. Kas siis on selliste spetsialistide oskused t\u00e4iesti n\u00f5rgad v\u00f5i on ettev\u00f5tetel keeruline \u00f5igesti hinnata Data Science'i t\u00f6\u00f6d. Kuid see v\u00f5ib samuti viidata sellele, et turg on alles oma loomise alguses. Aja jooksul kujuneb palgatase adekvaatsemaks.
\n
Allikas: habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u0414\u043c\u0438\u0442\u0440\u0438\u0439 \u041a\u0430\u0437\u0430\u043a\u043e\u0432, Data Analytics Team Lead \u0432 Kolesa Group, \u0434\u0435\u043b\u0438\u0442\u0441\u044f \u0438\u043d\u0441\u0430\u0439\u0442\u0430\u043c\u0438 \u0438\u0437 \u043f\u0435\u0440\u0432\u043e\u0433\u043e \u043a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d\u0441\u043a\u043e\u0433\u043e \u043e\u043f\u0440\u043e\u0441\u0430 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u043e\u0432 \u043f\u043e \u0440\u0430\u0431\u043e\u0442\u0435 \u0441 \u0434\u0430\u043d\u043d\u044b\u043c\u0438. \u041d\u0430 \u0444\u043e\u0442\u043e: \u0414\u043c\u0438\u0442\u0440\u0438\u0439 \u041a\u0430\u0437\u0430\u043a\u043e\u0432 \u041f\u043e\u043c\u043d\u0438\u0442\u0435 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u0443\u044e \u0444\u0440\u0430\u0437\u0443 \u043e \u0442\u043e\u043c, \u0447\u0442\u043e Big Data \u0431\u043e\u043b\u044c\u0448\u0435 \u0432\u0441\u0435\u0433\u043e \u043d\u0430\u043f\u043e\u043c\u0438\u043d\u0430\u0435\u0442 \u043f\u043e\u0434\u0440\u043e\u0441\u0442\u043a\u043e\u0432\u044b\u0439 \u0441\u0435\u043a\u0441 \u2013 \u0432\u0441\u0435 \u043e \u043d\u0435\u043c \u0433\u043e\u0432\u043e\u0440\u044f\u0442, \u043d\u043e \u043d\u0438\u043a\u0442\u043e \u043d\u0435 \u0437\u043d\u0430\u0435\u0442, \u0435\u0441\u0442\u044c \u043b\u0438 \u043e\u043d \u043d\u0430 \u0441\u0430\u043c\u043e\u043c \u0434\u0435\u043b\u0435. \u0422\u043e \u0436\u0435 \u0441\u0430\u043c\u043e\u0435 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-56400","post","type-post","status-publish","format-standard","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47\u00abJah, need olemas!\u00bb Millised on Data Science'i spetsialistide tegevused ja kui palju nad teenivad Kasahstanis? | ProHoster","description":"Dmitri Kazakov, Kolesa Groupi andmeanal\u00fc\u00fcsi meeskonna juht, jagab teadmisi esimesest Kasahstani spetsialistide k\u00fcsitlusest andmete alal. Fotol: Dmitri Kazakov. Kas m\u00e4letate populaarset \u00fctlemist, et Big Data meenutab rohkem teismeliste seksi \u2013 k\u00f5ik r\u00e4\u00e4givad sellest, aga keegi ei tea, kas see on tegelikult olemas. Sama lugu.","canonical_url":"https:\/\/prohoster.info\/et\/blog\/administrirovanie\/da-oni-sushhestvuyut-chem-zanimayutsya-i-skolko-zarabatyvayut-data-science-spetsialisty-v-kazahstane","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"et_EE","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47\u00ab\u0414\u0430, \u043e\u043d\u0438 \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u044e\u0442!\u00bb \u0427\u0435\u043c \u0437\u0430\u043d\u0438\u043c\u0430\u044e\u0442\u0441\u044f \u0438 \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0437\u0430\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u044e\u0442 Data Science-\u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u044b \u0432 \u041a\u0430\u0437\u0430\u0445\u0441\u0442\u0430\u043d\u0435? 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