Tšebeletso ea lipatlisiso ea hh.ru hammoho le MADE Big Data Academy ho tloha Mail.ru e ile ea hlophisa setšoantšo sa setsebi sa Data Science Russia. Ha re se re ithutile li-resume tse likete tse 8 tsa bo-ramahlale ba data ba Russia le likheo tsa bahiri ba likete tse 5,5, re fumane hore na litsebi tsa Data Science li lula le ho sebetsa hokae, li lilemo li kae, li qetile univesithing efe, li bua lipuo life tsa mananeo le hore na li na le li-degree tse kae tsa thuto. na le.
Tlhokahalo
Ho tloha ka 2015, tlhoko ea litsebi e ntse e hola khafetsa. Ka 2018, palo ea likheo tlas'a sehlooho sa "Data Scientist" e eketsehile ka makhetlo a 7 ha e bapisoa le 2015, 'me likheo tse nang le mantsoe a sehlooho Setsebi sa ho Ithuta ka Mochini li eketsehile ka makhetlo a 5. Ka nako e ts'oanang, halofong ea pele ea 2019, tlhoko ea litsebi tsa Mahlale a data e fihlile ho 65% ea tlhoko ea selemo sohle sa 2018.
Boitšoaro ba batho
Hangata banna ba sebetsa mosebetsing; har'a bo-rasaense ba data karolo ea bona ke 81%. Ho feta halofo ea batho ba batlang mesebetsi tlhahlobong ea data ke litsebi tsa lilemo tse 25-34. Ho ntse ho e-na le basali ba fokolang mosebetsing - 19%. Empa hoa thahasellisa hore banana ba banyenyane ba bontša thahasello e eketsehileng ho Data Science. Har'a basali ba ngotseng li-CV tsa bona, hoo e ka bang 40% ke banana ba lilemo tse 18-24.
Empa li-resume tsa bakopi ba baholo li nyane haholo - ke 3% feela ea bo-ramahlale ba data ba fetang lilemo tse 45. Ho ea ka likhakanyo tsa litsebi, sena se ka 'na sa bakoa ke lintlha tse' maloa: pele, ho na le baemeli ba seng bakae ba baholo ho Data Science, 'me ea bobeli, bakopi ba nang le phihlelo e ngata ea mosebetsi ha ba na monyetla oa ho beha li-resume tsa bona mehloling e mengata ea ho batla' me hangata ba fumana mosebetsi ka likhothaletso. .
Ho kheloha
Ho feta halofo ea likheo (60%) le bakopi (64%) ba teng Moscow. Hape, litsebi tsa lefapha la tlhahlobo ea data li hlokahala St. Petersburg, libakeng tsa Novosibirsk le Sverdlovsk le Rephabliki ea Tatarstan.
sebopeho
Litsebi tse 9 ho tse 10 tse batlang mesebetsi ho analytics ea data li na le lengolo la koleche. Har'a batho ba fumaneng mangolo liunivesithing, ho na le karolo e kholo ea ba tsoelang pele ho ntshetsa pele ka saense 'me ba khonne ho fumana lengolo la thuto: 8% na le Nkgetheng ya tekanyo Science, 1% na le Doctor of Science degree.
Boholo ba litsebi tse batlang mosebetsi lefapheng la Data Science li ithutoang ho e 'ngoe ea liunivesithi tse latelang: MSTU e reheletsoeng ka N.E. Bauman, Univesithi ea Naha ea Moscow. M.V. Lomonosov, MIPT, Sekolo se Phahameng sa Economics, Univesithi ea Naha ea St. Petersburg, Univesithi ea St. Petersburg Polytechnic, Univesithi ea Lichelete tlas'a 'Muso oa Russia Federation, NSU, KFU. Bahiri le bona ba tšepahala ho liunivesithi tsena.
43% ea litsebi tsa saense ea data li hlokometse hore ntle le thuto e phahameng ba fumane bonyane thuto e le 'ngoe e eketsehileng. Lithuto tse atileng haholo tsa marang-rang tse boletsoeng ho qalelleng ke ho ithuta ka mochini le analytics ea data ho Coursera.
Tse Ratoang Tsebo
Har'a lintlha tsa bohlokoa tsa bo-rasaense ba li thathamisang libukeng tsa bona ke Python (74%), SQL (45%), Git (25%), Data Analysis (24%) le Data Mining (22%). Litsebi tseo tse ngolang ka botsebi ba tsona ba ho ithuta ka mochini libukeng tsa bona li boetse li bua ka bokhabane ho Linux le C++. Lipuo tse tsebahalang haholo tsa lenaneo har'a litsebi tsa Saense ea data: Python, C++, Java, C #, JavaScript.
Kamoo li sebetsang kateng
Bahiri ba lumela hore litsebi tsa Data Science li lokela ho sebetsa ofising ea nako e tletseng. 86% ea likheo tse behiloeng ke tsa nako eohle, 9% lia fetoha, 'me ke 5% feela ea mesebetsi e fanang ka mosebetsi o hole.
Ha re lokisetsa thuto, re sebelisitse lintlha tse mabapi le kholo ea mesebetsi, litlhoko tsa meputso ea bahiri le phihlelo ea bakopi, e rometsoeng ho hh.ru halofo ea 1 ea 2019, 'me e fanoe ke tšebeletso ea lipatlisiso ea k'hamphani ea HeadHunter.
Source: www.habr.com