{"id":90698,"date":"2020-08-05T01:42:04","date_gmt":"2020-08-04T23:42:04","guid":{"rendered":"https:\/\/prohoster.info\/blog\/administrirovanie\/bystryj-start-i-nizkij-potolok-chto-zhdet-molodyh-data-science-speczialistov-na-rynke-truda"},"modified":"2020-08-05T01:42:04","modified_gmt":"2020-08-04T23:42:04","slug":"bystryj-start-i-nizkij-potolok-chto-zhdet-molodyh-data-science-speczialistov-na-rynke-truda","status":"publish","type":"post","link":"https:\/\/prohoster.info\/ro\/blog\/administrirovanie\/bystryj-start-i-nizkij-potolok-chto-zhdet-molodyh-data-science-speczialistov-na-rynke-truda","title":{"rendered":"Start rapid \u0219i plafon redus. Ce \u00eei a\u0219teapt\u0103 pe tinerii speciali\u0219ti \u00een Data Science pe pia\u021ba muncii","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Conform cercet\u0103rilor HeadHunter \u0219i Mail.ru, cererea de speciali\u0219ti \u00een domeniul Data Science dep\u0103\u0219e\u0219te oferta, dar chiar \u0219i a\u0219a, tinerii speciali\u0219ti nu reu\u0219esc \u00eentotdeauna s\u0103 \u00ee\u0219i g\u0103seasc\u0103 un loc de munc\u0103. V\u0103 explic\u0103m de ce le lipsesc absolven\u021bilor cursurilor \u0219i unde pot \u00eenv\u0103\u021ba cei care planific\u0103 o carier\u0103 de succes \u00een Data Science.<\/p>\n<blockquote><p>\u201eEi vin \u0219i cred c\u0103 acum vor c\u00e2\u0219tiga 500k pe secund\u0103, deoarece \u0219tiu denumirile framework-urilor \u0219i cum s\u0103 lanseze un model \u00een dou\u0103 linii\u201d<\/p><\/blockquote>\n<p>\n<b>Emil Magheramov<\/b> conduce un grup de servicii de chimie computa\u021bional\u0103 \u00een compania biocad \u0219i se confrunt\u0103 \u00een interviuri cu situa\u021bia \u00een care candida\u021bii nu au o \u00een\u021belegere sistematic\u0103 a profesiei. Ei termin\u0103 cursurile, vin cu cuno\u0219tin\u021be avansate de Python \u0219i SQL, pot ridica Hadoop sau Spark \u00een 2 secunde, \u00eendeplinind sarcina conform unui TGA clar. Dar s\u0103 fac\u0103 un pas \u00een lateral \u2014 nu pot. De\u0219i exact aceast\u0103 flexibilitate a solu\u021biilor o a\u0219teapt\u0103 angajatorii de la speciali\u0219tii \u00een Data Science.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h3>Ce se \u00eent\u00e2mpl\u0103 pe pia\u021ba Data Science<\/h3>\n<p>\nCompeten\u021bele tinerilor speciali\u0219ti reflect\u0103 situa\u021bia de pe pia\u021ba muncii. Aici, cererea dep\u0103\u0219e\u0219te cu mult oferta, motiv pentru care angajatorii dispera\u021bi sunt adesea \u00een realitate dispu\u0219i s\u0103 angajeze speciali\u0219ti complet neexperimenta\u021bi \u0219i s\u0103-i dezvolte conform nevoilor lor. Aceasta este o op\u021biune viabil\u0103, dar este adecvat\u0103 doar \u00een cazul \u00een care \u00een echip\u0103 exist\u0103 deja un team lead experimentat care va prelua formarea juniorului.<\/p>\n<p>Conform unui studiu realizat de HeadHunter \u0219i Mail.ru, speciali\u0219tii \u00een analiz\u0103 de date sunt printre cei mai c\u0103uta\u021bi pe pia\u021b\u0103:<\/p>\n<ul>\n<li>\u00cen 2019, num\u0103rul locurilor de munc\u0103 \u00een domeniul analizei datelor a crescut de 9,6 ori, iar \u00een domeniul \u00eenv\u0103\u021b\u0103rii automate \u2013 de 7,2 ori, comparativ cu 2015.<\/li>\n<li>Comparativ cu 2018, num\u0103rul locurilor de munc\u0103 pentru speciali\u0219ti \u00een analiz\u0103 de date a crescut de 1,4 ori, iar \u00een domeniul \u00eenv\u0103\u021b\u0103rii automate \u2013 de 1,3 ori.<\/li>\n<li>38% din locurile de munc\u0103 disponibile apar\u021bin companiilor IT, 29% \u2013 companiilor din sectorul financiar, 9% \u2013 domeniului serviciilor pentru afaceri.<\/li>\n<\/ul>\n<p>\nSitua\u021bia este amplificat\u0103 de numeroasele \u0219coli online care preg\u0103tesc ace\u0219ti juniori. \u00cen general, cursurile dureaz\u0103 \u00eentre trei \u0219i \u0219ase luni, timp \u00een care studen\u021bii reu\u0219esc s\u0103 dob\u00e2ndeasc\u0103, la un nivel de baz\u0103, principalele instrumente: Python, SQL, analiza datelor, Git \u0219i Linux. La final, ob\u021binem un junior clasic: poate rezolva o sarcin\u0103 specific\u0103, dar nu poate \u00een\u021belege problema \u0219i formula independent o sarcin\u0103. Cu toate acestea, cererea mare de speciali\u0219ti \u0219i hype-ul din jurul profesiei genereaz\u0103 adesea a\u0219tept\u0103ri \u0219i cerin\u021be ridicate \u00een privin\u021ba salariului.<\/p>\n<blockquote><p>Din p\u0103cate, interviul pentru Data Science arat\u0103, de obicei, astfel: candidatul poveste\u0219te c\u0103 a \u00eencercat s\u0103 aplice c\u00e2teva biblioteci, dar nu poate r\u0103spunde la \u00eentreb\u0103rile legate de modul \u00een care func\u021bioneaz\u0103 algoritmii, apoi solicit\u0103 200, 300, 400 de mii de ruble pe lun\u0103 net.<\/p>\n<p>Din cauza num\u0103rului mare de sloganuri publicitare precum \u00aborice persoan\u0103 poate deveni analist de date\u00bb, \u00ab\u00eenva\u021b\u0103 \u00eenv\u0103\u021barea automat\u0103 \u00een trei luni \u0219i \u00eencepe s\u0103 c\u00e2\u0219tigi mul\u021bi bani\u00bb \u0219i a dorin\u021bei de c\u00e2\u0219tig rapid, domeniul nostru a fost inundat de un val enorm de candida\u021bi superficiali, complet f\u0103r\u0103 o preg\u0103tire sistematic\u0103.<\/p>\n<p><b>Victor Cantor<\/b><br \/>\nChief Data Scientist la MTS<\/p><\/blockquote>\n<p><\/p>\n<h3>Ce a\u0219teapt\u0103 angajatorii<\/h3>\n<p>\nOrice angajator \u0219i-ar dori ca juniorii s\u0103i s\u0103 lucreze f\u0103r\u0103 control constant \u0219i s\u0103 se dezvolte sub \u00eendrumarea unui team leader. Pentru aceasta, un nou venit trebuie s\u0103 st\u0103p\u00e2neasc\u0103 imediat instrumentele necesare pentru a rezolva sarcinile actuale \u0219i s\u0103 aib\u0103 o baz\u0103 teoretic\u0103 suficient\u0103 pentru a propune treptat solu\u021bii proprii \u0219i a aborda sarcini mai complexe.<\/p>\n<p>\u00cen ceea ce prive\u0219te instrumentele, juniorii de pe pia\u021b\u0103 se descurc\u0103 destul de bine. Cursurile pe termen scurt permit o asimilare rapid\u0103 a acestora \u0219i ini\u021bierea \u00een munc\u0103.<\/p>\n<p>Conform unui studiu HeadHunter \u0219i Mail.ru, cea mai cerut\u0103 abilitate este st\u0103p\u00e2nirea Python. Aceasta este men\u021bionat\u0103 \u00een 45% din anun\u021burile de angajare pentru speciali\u0219ti \u00een analiza datelor \u0219i \u00een 51% din anun\u021burile pentru domeniul \u00eenv\u0103\u021b\u0103rii automate.<\/p>\n<p>De asemenea, angajatorii doresc ca speciali\u0219tii \u00een analiza datelor s\u0103 \u0219tie SQL (23%), s\u0103 aib\u0103 cuno\u0219tin\u021be \u00een analiza datelor (Data Mining) (19%), statistic\u0103 matematic\u0103 (11%) \u0219i s\u0103 \u0219tie s\u0103 lucreze cu big data (10%).<\/p>\n<p>Angajatorii care caut\u0103 speciali\u0219ti \u00een \u00eenv\u0103\u021barea automat\u0103, pe l\u00e2ng\u0103 cunoa\u0219terea Python, se a\u0219teapt\u0103 ca candidatul s\u0103 de\u021bin\u0103 cuno\u0219tin\u021be de C++ (18%), SQL (15%), algoritmi de \u00eenv\u0103\u021bare automat\u0103 (13%) \u0219i Linux (11%).<\/p>\n<p>Dar dac\u0103 instrumentele pentru juniori sunt bine, atunci viitorii lor superiori se confrunt\u0103 cu o alt\u0103 problem\u0103. Majoritatea absolven\u021bilor cursurilor nu au o \u00een\u021belegere profund\u0103 a profesiei, a\u0219a c\u0103 este dificil pentru un \u00eencep\u0103tor s\u0103 progreseze.<\/p>\n<blockquote><p>Acum caut speciali\u0219ti \u00een \u00eenv\u0103\u021barea automat\u0103 pentru echipa mea. Totu\u0219i, observ c\u0103 de multe ori candida\u021bii au st\u0103p\u00e2nit unelte specifice din Data Science, dar nu au o \u00een\u021belegere suficient de profund\u0103 a fundamentelor teoretice pentru a crea solu\u021bii noi.<\/p>\n<p><b>Emil Magheramov<\/b><br \/>\n\u0218ef de grup pentru serviciile de chimie computa\u021bional\u0103, Biocad\n<\/p><\/blockquote>\n<p> Structura \u0219i durata cursurilor nu permit o aprofundare la nivelul necesar. Absolven\u021bilor le lipsesc adesea acele soft skills care de obicei sunt neglijate la citirea anun\u021burilor de angajare. Dar, s\u0103 fim sinceri, cine dintre noi ar spune c\u0103 nu are g\u00e2ndire sistemic\u0103 sau dorin\u021ba de a se dezvolta? Totu\u0219i, pentru un specialist \u00een Data Science, este vorba despre o poveste mult mai profund\u0103. Aici, pentru a se dezvolta, este nevoie de un accent suficient de puternic pe teorie \u0219i \u0219tiin\u021b\u0103, care poate fi ob\u021binut doar printr-o formare de lung\u0103 durat\u0103, de exemplu, la universitate.<\/p>\n<blockquote><p>Multe depind de persoan\u0103: dac\u0103 un intensiv de trei luni de la profesori puternici cu experien\u021b\u0103 \u00een conducerea echipelor de la companii de top este urmat de un student cu o baz\u0103 solid\u0103 \u00een matematic\u0103 \u0219i programare, care se implic\u0103 \u00een toate materialele cursului \u0219i \"absoarbe ca un burete\", cum se spunea la \u0219coal\u0103, atunci nu exist\u0103 probleme cu un astfel de angajat. Dar 90-95% dintre oameni au nevoie s\u0103 \u00eenve\u021be de zece ori mai mult pentru a re\u021bine ceva permanent \u0219i trebuie s\u0103 fac\u0103 acest lucru sistematic timp de c\u00e2\u021biva ani la r\u00e2nd. \u0218i asta face programele de masterat \u00een analiz\u0103 de date o op\u021biune excelent\u0103 pentru a ob\u021bine o baz\u0103 bun\u0103 de cuno\u0219tin\u021be, cu care nu va trebui s\u0103 ro\u0219im la interviu \u0219i va fi mult mai u\u0219or de lucrat.<\/p>\n<p><b>Victor Cantor<\/b><br \/>\nChief Data Scientist la MTS<\/p><\/blockquote>\n<h3>Unde s\u0103 \u00eenv\u0103\u021b pentru a g\u0103si un loc de munc\u0103 \u00een Data Science<\/h3>\n<p>\nPe pia\u021b\u0103 exist\u0103 multe cursuri bune de Data Science, iar ob\u021binerea unei educa\u021bii ini\u021biale nu este o problem\u0103. Dar este important s\u0103 \u00een\u021belegem direc\u021bia acestei educa\u021bii. Dac\u0103 candidatul are deja un fundal tehnic solid, atunci cursurile intensive sunt exact ceea ce trebuie. Persoana va \u00eenv\u0103\u021ba instrumentele, va \u00eencepe s\u0103 lucreze \u0219i se va adapta rapid, deoarece deja \u0219tie s\u0103 g\u00e2ndeasc\u0103 ca un matematician, s\u0103 observe problemele \u0219i s\u0103 formuleze sarcini. Dac\u0103 nu exist\u0103 un astfel de fundal, atunci dup\u0103 curs va deveni un bun executant, dar cu oportunit\u0103\u021bi limitate de cre\u0219tere.<\/p>\n<blockquote><p>Dac\u0103 ave\u021bi o sarcin\u0103 pe termen scurt, cum ar fi schimbarea profesiei sau g\u0103sirea unui loc de munc\u0103 \u00een acest domeniu, atunci v\u0103 sunt potrivite cursuri sistematice, care sunt scurte \u0219i ofer\u0103 rapid un set minimal de abilit\u0103\u021bi tehnice, astfel \u00eenc\u00e2t s\u0103 pute\u021bi candida pentru o pozi\u021bie de \u00eenceput \u00een acest domeniu.<\/p>\n<p><b>Ivan Iamsikov<\/b><br \/>\nDirector academic al programului online de masterat \"\u0218tiin\u021ba datelor\"<\/p><\/blockquote>\n<p>Problema cursurilor const\u0103 tocmai \u00een faptul c\u0103 ofer\u0103 o accelerare rapid\u0103, dar minim\u0103. Persoana intr\u0103 efectiv \u00een profesie \u0219i atinge rapid un platou. Pentru a r\u0103m\u00e2ne \u00een profesie pe termen lung, este necesar s\u0103 se pun\u0103 din start o baz\u0103 bun\u0103 printr-un program de mai lung\u0103 durat\u0103, de exemplu, un master.<\/p>\n<blockquote><p>Educa\u021bia superioar\u0103 este potrivit\u0103 atunci c\u00e2nd \u00een\u021belege\u021bi c\u0103 acest domeniu v\u0103 intereseaz\u0103 pe termen lung. Nu dori\u021bi s\u0103 ie\u0219i\u021bi la munc\u0103 c\u00e2t mai repede posibil. De asemenea, nu dori\u021bi s\u0103 ave\u021bi un plafon \u00een carier\u0103 \u0219i nu dori\u021bi s\u0103 v\u0103 confrunta\u021bi cu problema lipsei de cuno\u0219tin\u021be, abilit\u0103\u021bi sau a lipsei de \u00een\u021belegere a \u00eentregii ecosisteme prin care se dezvolt\u0103 produsele inovatoare. Pentru aceasta, este nevoie de o educa\u021bie superioar\u0103 care s\u0103 formeze nu doar setul necesar de abilit\u0103\u021bi tehnice, ci \u0219i s\u0103 structureze altfel modul dumneavoastr\u0103 de g\u00e2ndire \u0219i s\u0103 v\u0103 ajute s\u0103 forma\u021bi o anumit\u0103 viziune asupra carierei dumneavoastr\u0103 pe termen lung.<\/p>\n<p><b>Ivan Iamsikov<\/b><br \/>\nDirector academic al programului online de masterat \"\u0218tiin\u021ba datelor\"\n<\/p><\/blockquote>\n<p>Absen\u021ba unui plafon de carier\u0103 este principalul avantaj al programului de masterat. \u00cen decurs de doi ani, specialistul ob\u021bine o baz\u0103 teoretic\u0103 solid\u0103. Iat\u0103 cum arat\u0103 deja primul semestru \u00een programul Data Science la NITU \"MISiS\":<\/p>\n<ul>\n<li>Introducere \u00een Data Science. 2 s\u0103pt\u0103m\u00e2ni.<\/li>\n<li>Bazele analizei datelor. Prelucrarea datelor. 2 s\u0103pt\u0103m\u00e2ni.<\/li>\n<li>\u00cenv\u0103\u021bare automat\u0103. Pre-procesarea datelor. 2 s\u0103pt\u0103m\u00e2ni.<\/li>\n<li>EDA. Analiza exploratorie a datelor. 3 s\u0103pt\u0103m\u00e2ni.<\/li>\n<li>Algoritmi principali de \u00eenv\u0103\u021bare automat\u0103. Partea 1 + Partea 2 (6 s\u0103pt\u0103m\u00e2ni)<\/li>\n<\/ul>\n<p>\n\u00cen acela\u0219i timp, po\u021bi ob\u021bine experien\u021b\u0103 practic\u0103 la locul de munc\u0103. Nimic nu te opre\u0219te s\u0103 te angajezi pe o pozi\u021bie de junior de \u00eendat\u0103 ce studentul a \u00eenv\u0103\u021bat instrumentele necesare. Totu\u0219i, spre deosebire de un absolvent de cursuri, un masterand nu \u00ee\u0219i opre\u0219te preg\u0103tirea aici, ci continu\u0103 s\u0103 se ad\u00e2nceasc\u0103 \u00een profesie. \u00cen viitor, acest lucru \u00eei permite s\u0103 se dezvolte \u00een Data Science f\u0103r\u0103 restric\u021bii.<\/p>\n<blockquote><p>Pe site-ul Universit\u0103\u021bii de \u0218tiin\u021be \u0219i Tehnologii \u201eMISIS\u201d au loc <noindex><a rel=\"nofollow\" href=\"https:\/\/data.misis.ru\/?utm_source=habr&amp;utm_medium=st&amp;utm_campaign=hhmail&amp;utm_term=statiahh&amp;utm_content=2707#dayopendoor\">Zilele Por\u021bilor Deschise \u0219i webinarii<\/a><\/noindex> pentru cei care doresc s\u0103 lucreze \u00een Data Science. Reprezentan\u021bi ai NITU \u201eMISIS\u201d, SkillFactory, HeadHunter, Facebook, Mail.ru Group \u0219i Yandex vor vorbi despre cele mai importante aspecte:<\/p>\n<ul>\n<li>\u201eCum s\u0103 \u00ee\u021bi g\u0103se\u0219ti locul \u00een Data Science?\u201d<\/li>\n<li>\u201ePoate cineva deveni data scientist de la zero?\u201d<\/li>\n<li>\u201eVa mai exista nevoie de data scientist \u00een urm\u0103torii 2-5 ani?\u201d<\/li>\n<li>\u201eLa ce probleme lucreaz\u0103 speciali\u0219tii \u00een data science?\u201d<\/li>\n<li>\u201eCum s\u0103 \u00ee\u021bi construie\u0219ti o carier\u0103 \u00een Data Science?\u201d<\/li>\n<\/ul>\n<p>\n\u00cenv\u0103\u021bare online, diplom\u0103 de educa\u021bie de stat. <noindex><a rel=\"nofollow\" href=\"https:\/\/data.misis.ru\/?utm_source=habr&amp;utm_medium=st&amp;utm_campaign=hhmail&amp;utm_term=statiahh&amp;utm_content=2707\">Cereri pentru program\u0103<\/a><\/noindex> sunt acceptate p\u00e2n\u0103 la <b>10 august<\/b>.<\/p><\/blockquote>\n<p>Sursa: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/skillfactory\/blog\/513566\/\">habr.com<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041f\u043e \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u044f\u043c HeadHunter \u0438 Mail.ru \u0441\u043f\u0440\u043e\u0441 \u043d\u0430 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u043e\u0432 \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 Data Science \u043f\u0440\u0435\u0432\u044b\u0448\u0430\u0435\u0442 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u0438\u0435, \u043d\u043e \u0434\u0430\u0436\u0435 \u0442\u0430\u043a \u043c\u043e\u043b\u043e\u0434\u044b\u043c \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u0430\u043c \u043d\u0435 \u0432\u0441\u0435\u0433\u0434\u0430 \u0443\u0434\u0430\u0435\u0442\u0441\u044f \u043d\u0430\u0439\u0442\u0438 \u0440\u0430\u0431\u043e\u0442\u0443. \u0420\u0430\u0441\u0441\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u043c, \u0447\u0435\u0433\u043e \u043d\u0435 \u0445\u0432\u0430\u0442\u0430\u0435\u0442 \u0432\u044b\u043f\u0443\u0441\u043a\u043d\u0438\u043a\u0430\u043c \u043a\u0443\u0440\u0441\u043e\u0432 \u0438 \u0433\u0434\u0435 \u0443\u0447\u0438\u0442\u044c\u0441\u044f \u0442\u0435\u043c, \u043a\u0442\u043e \u043f\u043b\u0430\u043d\u0438\u0440\u0443\u0435\u0442 \u0431\u043e\u043b\u044c\u0448\u0443\u044e \u043a\u0430\u0440\u044c\u0435\u0440\u0443 \u0432 Data Science. \u00ab\u041e\u043d\u0438 \u043f\u0440\u0438\u0445\u043e\u0434\u044f\u0442 \u0438 \u0434\u0443\u043c\u0430\u044e\u0442, \u0447\u0442\u043e \u0441\u0435\u0439\u0447\u0430\u0441 \u0431\u0443\u0434\u0443\u0442 \u0437\u0430\u0440\u0430\u0431\u0430\u0442\u044b\u0432\u0430\u0442\u044c 500\u043a \u0432 \u0441\u0435\u043a\u0443\u043d\u0434\u0443, \u043f\u043e\u0442\u043e\u043c\u0443 \u0447\u0442\u043e \u0437\u043d\u0430\u044e\u0442 [&hellip;]<\/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-90698","post","type-post","status-publish","format-standard","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2.1 - 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