{"id":24208,"date":"2026-06-16T13:29:56","date_gmt":"2026-06-16T06:29:56","guid":{"rendered":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/?p=24208"},"modified":"2026-07-16T13:39:04","modified_gmt":"2026-07-16T06:39:04","slug":"data-scientist-la-gi","status":"publish","type":"post","link":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/tim-viec\/data-scientist-la-gi","title":{"rendered":"Data Scientist L\u00e0 G\u00ec \u2013 M\u00f4 T\u1ea3 C\u00f4ng Vi\u1ec7c, K\u1ef9 N\u0103ng C\u1ea7n C\u00f3 V\u00e0 L\u1ed9 Tr\u00ecnh Ngh\u1ec1 Nghi\u1ec7p"},"content":{"rendered":"

Trong k\u1ef7 nguy\u00ean d\u1eef li\u1ec7u, data scientist l\u00e0 g\u00ec<\/strong> l\u00e0 c\u00e2u h\u1ecfi ng\u00e0y c\u00e0ng nhi\u1ec1u sinh vi\u00ean IT, to\u00e1n-l\u00fd v\u00e0 kinh t\u1ebf quan t\u00e2m khi \u0111\u1ecbnh h\u01b0\u1edbng ngh\u1ec1 nghi\u1ec7p. Data Scientist (Nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u) l\u00e0 ng\u01b0\u1eddi k\u1ebft h\u1ee3p k\u1ef9 n\u0103ng th\u1ed1ng k\u00ea, l\u1eadp tr\u00ecnh v\u00e0 hi\u1ec3u bi\u1ebft kinh doanh \u0111\u1ec3 tr\u00edch xu\u1ea5t th\u00f4ng tin c\u00f3 gi\u00e1 tr\u1ecb t\u1eeb d\u1eef li\u1ec7u ph\u1ee9c t\u1ea1p, t\u1eeb \u0111\u00f3 h\u1ed7 tr\u1ee3 quy\u1ebft \u0111\u1ecbnh chi\u1ebfn l\u01b0\u1ee3c cho doanh nghi\u1ec7p. B\u00e0i vi\u1ebft ph\u00e2n t\u00edch chi ti\u1ebft vai tr\u00f2, k\u1ef9 n\u0103ng, thu nh\u1eadp v\u00e0 l\u1ed9 tr\u00ecnh ph\u00e1t tri\u1ec3n c\u1ee7a v\u1ecb tr\u00ed \u0111\u01b0\u1ee3c m\u1ec7nh danh l\u00e0 \u201cngh\u1ec1 h\u1ea5p d\u1eabn nh\u1ea5t th\u1ebf k\u1ef7 21\u201d n\u00e0y.<\/p>\n

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T\u1ed5ng quan nhanh v\u1ec1 Data Scientist<\/strong><\/p>\n

\u2013 Data Scientist = k\u1ebft h\u1ee3p Statistics + Programming + Business Knowledge \u0111\u1ec3 ph\u00e2n t\u00edch d\u1eef li\u1ec7u.<\/p>\n

\u2013 Kh\u00e1c v\u1edbi Data Analyst: DS x\u00e2y d\u1ef1ng m\u00f4 h\u00ecnh d\u1ef1 \u0111o\u00e1n, kh\u00f4ng ch\u1ec9 ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1ecbch s\u1eed.<\/p>\n

\u2013 Ng\u00f4n ng\u1eef ch\u00ednh: Python, R; c\u00f4ng c\u1ee5: TensorFlow, Scikit-learn, SQL, Spark.<\/p>\n

\u2013 M\u1ee9c l\u01b0\u01a1ng t\u1ea1i Vi\u1ec7t Nam: 25\u201380 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng t\u00f9y kinh nghi\u1ec7m v\u00e0 ng\u00e0nh.<\/p>\n<\/div>\n

\"data<\/p>\n

1. Data Scientist L\u00e0 G\u00ec \u2013 \u0110\u1ecbnh Ngh\u0129a V\u00e0 Ph\u00e2n Bi\u1ec7t C\u00e1c Vai Tr\u00f2 D\u1eef Li\u1ec7u<\/h2>\n

Data Scientist<\/strong> (Nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u) l\u00e0 chuy\u00ean gia s\u1eed d\u1ee5ng ph\u01b0\u01a1ng ph\u00e1p khoa h\u1ecdc, thu\u1eadt to\u00e1n v\u00e0 h\u1ec7 th\u1ed1ng \u0111\u1ec3 ph\u00e2n t\u00edch v\u00e0 di\u1ec5n gi\u1ea3i d\u1eef li\u1ec7u c\u00f3 c\u1ea5u tr\u00fac v\u00e0 phi c\u1ea5u tr\u00fac. Kh\u00e1i ni\u1ec7m n\u00e0y \u0111\u01b0\u1ee3c Harvard Business Review \u0111\u1ecbnh ngh\u0129a v\u00e0 ph\u1ed5 bi\u1ebfn r\u1ed9ng r\u00e3i t\u1eeb n\u0103m 2012, khi d\u1eef li\u1ec7u doanh nghi\u1ec7p t\u0103ng tr\u01b0\u1edfng \u0111\u1ebfn m\u1ee9c v\u01b0\u1ee3t kh\u1ea3 n\u0103ng x\u1eed l\u00fd c\u1ee7a c\u00e1c ph\u01b0\u01a1ng ph\u00e1p truy\u1ec1n th\u1ed1ng.<\/p>\n

Ph\u00e2n bi\u1ec7t c\u00e1c vai tr\u00f2 d\u1eef li\u1ec7u ph\u1ed5 bi\u1ebfn t\u1ea1i Vi\u1ec7t Nam:<\/p>\n

\u2013 Data Analyst<\/strong>: T\u1eadp trung ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1ecbch s\u1eed, t\u1ea1o b\u00e1o c\u00e1o v\u00e0 dashboard. Tr\u1ea3 l\u1eddi c\u00e2u h\u1ecfi \u201cchuy\u1ec7n g\u00ec \u0111\u00e3 x\u1ea3y ra?\u201d<\/p>\n

\u2013 Data Scientist<\/strong>: X\u00e2y d\u1ef1ng m\u00f4 h\u00ecnh d\u1ef1 \u0111o\u00e1n (predictive models) v\u00e0 machine learning. Tr\u1ea3 l\u1eddi c\u00e2u h\u1ecfi \u201c\u0111i\u1ec1u g\u00ec s\u1ebd x\u1ea3y ra ti\u1ebfp theo?\u201d<\/p>\n

\u2013 Data Engineer<\/strong>: X\u00e2y d\u1ef1ng v\u00e0 duy tr\u00ec h\u1ea1 t\u1ea7ng d\u1eef li\u1ec7u (pipelines, data warehouse). \u0110\u1ea3m b\u1ea3o d\u1eef li\u1ec7u s\u1ea1ch v\u00e0 kh\u1ea3 d\u1ee5ng.<\/p>\n

\u2013 ML Engineer (Machine Learning Engineer)<\/strong>: Deploy v\u00e0 scale c\u00e1c m\u00f4 h\u00ecnh ML v\u00e0o m\u00f4i tr\u01b0\u1eddng production. C\u1ea7u n\u1ed1i gi\u1eefa DS v\u00e0 Software Engineer.<\/p>\n

\u201cData Scientist l\u00e0 ng\u01b0\u1eddi c\u00f3 k\u1ef9 n\u0103ng l\u1eadp tr\u00ecnh t\u1ed1t h\u01a1n th\u1ed1ng k\u00ea h\u1ecdc, v\u00e0 k\u1ef9 n\u0103ng th\u1ed1ng k\u00ea t\u1ed1t h\u01a1n software engineer.\u201d \u2014 \u0110\u1ecbnh ngh\u0129a h\u00e0i h\u01b0\u1edbc nh\u01b0ng s\u00fac t\u00edch c\u1ee7a c\u1ed9ng \u0111\u1ed3ng data science.<\/p><\/blockquote>\n

2. C\u00f4ng Vi\u1ec7c H\u00e0ng Ng\u00e0y C\u1ee7a Data Scientist<\/h2>\n

M\u1ed9t ng\u00e0y l\u00e0m vi\u1ec7c \u0111i\u1ec3n h\u00ecnh c\u1ee7a DS kh\u00f4ng ph\u1ea3i l\u00fac n\u00e0o c\u0169ng glamorous nh\u01b0 trong phim:<\/p>\n

\u2013 70% th\u1eddi gian<\/strong>: Thu th\u1eadp, l\u00e0m s\u1ea1ch v\u00e0 chu\u1ea9n b\u1ecb d\u1eef li\u1ec7u (data wrangling). \u0110\u00e2y l\u00e0 c\u00f4ng \u0111o\u1ea1n t\u1ebb nh\u1ea1t nh\u1ea5t nh\u01b0ng quan tr\u1ecdng nh\u1ea5t \u2014 \u201cgarbage in, garbage out.\u201d<\/p>\n

\u2013 20% th\u1eddi gian<\/strong>: X\u00e2y d\u1ef1ng, hu\u1ea5n luy\u1ec7n v\u00e0 \u0111\u00e1nh gi\u00e1 m\u00f4 h\u00ecnh (model building & evaluation).<\/p>\n

\u2013 10% th\u1eddi gian<\/strong>: Tr\u00ecnh b\u00e0y k\u1ebft qu\u1ea3 cho stakeholders phi-k\u1ef9 thu\u1eadt theo c\u00e1ch h\u1ecd hi\u1ec3u v\u00e0 c\u00f3 th\u1ec3 h\u00e0nh \u0111\u1ed9ng.<\/p>\n

C\u00f4ng vi\u1ec7c c\u1ee5 th\u1ec3 theo giai \u0111o\u1ea1n d\u1ef1 \u00e1n:<\/p>\n

\u2013 X\u00e1c \u0111\u1ecbnh v\u1ea5n \u0111\u1ec1 (Problem framing)<\/strong>: Chuy\u1ec3n c\u00e2u h\u1ecfi kinh doanh th\u00e0nh b\u00e0i to\u00e1n d\u1eef li\u1ec7u. VD: \u201cL\u00e0m sao gi\u1ea3m t\u1ef7 l\u1ec7 kh\u00e1ch h\u00e0ng r\u1eddi b\u1ecf?\u201d \u2192 \u201cX\u00e2y d\u1ef1ng m\u00f4 h\u00ecnh ph\u00e2n lo\u1ea1i kh\u00e1ch h\u00e0ng c\u00f3 nguy c\u01a1 churn.\u201d<\/p>\n

\u2013 Kh\u00e1m ph\u00e1 d\u1eef li\u1ec7u (EDA \u2014 Exploratory Data Analysis)<\/strong>: Ph\u00e2n t\u00edch ph\u00e2n ph\u1ed1i, t\u00ecm pattern, ph\u00e1t hi\u1ec7n anomaly.<\/p>\n

\u2013 Feature engineering<\/strong>: T\u1ea1o c\u00e1c bi\u1ebfn \u0111\u1eb7c tr\u01b0ng m\u1edbi t\u1eeb d\u1eef li\u1ec7u th\u00f4 \u0111\u1ec3 c\u1ea3i thi\u1ec7n hi\u1ec7u n\u0103ng m\u00f4 h\u00ecnh.<\/p>\n

\u2013 Model selection & training<\/strong>: Th\u1eed nghi\u1ec7m nhi\u1ec1u thu\u1eadt to\u00e1n (Random Forest, XGBoost, Neural Network\u2026), t\u1ed1i \u01b0u hyperparameter.<\/p>\n

\u2013 Deployment & monitoring<\/strong>: \u0110\u01b0a m\u00f4 h\u00ecnh v\u00e0o production v\u00e0 theo d\u00f5i hi\u1ec7u n\u0103ng theo th\u1eddi gian.<\/p>\n

\"chuy\u00ean<\/p>\n

3. K\u1ef9 N\u0103ng C\u1ea7n C\u00f3 \u0110\u1ec3 Tr\u1edf Th\u00e0nh Data Scientist<\/h2>\n\n\n\n\n\n\n\n\n\n\n
Nh\u00f3m k\u1ef9 n\u0103ng<\/th>\nC\u1ee5 th\u1ec3<\/th>\nM\u1ee9c \u0111\u1ed9 c\u1ea7n thi\u1ebft<\/th>\n<\/tr>\n<\/thead>\n
L\u1eadp tr\u00ecnh<\/td>\nPython (pandas, numpy, scikit-learn), SQL<\/td>\nB\u1eaft bu\u1ed9c<\/td>\n<\/tr>\n
Th\u1ed1ng k\u00ea<\/td>\nX\u00e1c su\u1ea5t, ki\u1ec3m \u0111\u1ecbnh gi\u1ea3 thuy\u1ebft, h\u1ed3i quy<\/td>\nB\u1eaft bu\u1ed9c<\/td>\n<\/tr>\n
Machine Learning<\/td>\nSupervised\/Unsupervised learning, deep learning c\u01a1 b\u1ea3n<\/td>\nQuan tr\u1ecdng<\/td>\n<\/tr>\n
Data Visualization<\/td>\nMatplotlib, Seaborn, Tableau, Power BI<\/td>\nQuan tr\u1ecdng<\/td>\n<\/tr>\n
Business Acumen<\/td>\nHi\u1ec3u v\u1ea5n \u0111\u1ec1 kinh doanh, giao ti\u1ebfp v\u1edbi non-technical<\/td>\nQuan tr\u1ecdng<\/td>\n<\/tr>\n
Big Data<\/td>\nSpark, Hadoop, cloud (AWS\/GCP\/Azure)<\/td>\nT\u1ed1t n\u1ebfu c\u00f3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

V\u1ec1 b\u1eb1ng c\u1ea5p: Ph\u1ea7n l\u1edbn Data Scientist t\u1ea1i Vi\u1ec7t Nam c\u00f3 n\u1ec1n t\u1ea3ng t\u1eeb To\u00e1n, Th\u1ed1ng k\u00ea, Khoa h\u1ecdc m\u00e1y t\u00ednh, V\u1eadt l\u00fd ho\u1eb7c K\u1ef9 thu\u1eadt. M\u1ed9t s\u1ed1 c\u00f4ng ty l\u1edbn nh\u01b0 VinAI, VNG, Momo, Viettel AI Center y\u00eau c\u1ea7u b\u1eb1ng Th\u1ea1c s\u0129 ho\u1eb7c Ti\u1ebfn s\u0129 cho v\u1ecb tr\u00ed senior.<\/p>\n

Xem th\u00eam Machine Learning<\/a> \u2014 \u0111\u00e2y l\u00e0 m\u1ed9t trong nh\u1eefng k\u1ef9 n\u0103ng c\u1ed1t l\u00f5i m\u00e0 m\u1ecdi DS \u0111\u1ec1u c\u1ea7n n\u1eafm v\u1eefng.<\/p>\n

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L\u01b0u \u00fd v\u1ec1 l\u1ed9 tr\u00ecnh h\u1ecdc:<\/strong> Nhi\u1ec1u ng\u01b0\u1eddi h\u1ecdc Data Science qua bootcamp 3\u20136 th\u00e1ng r\u1ed3i k\u1ef3 v\u1ecdng m\u1ee9c l\u01b0\u01a1ng Senior ngay. Th\u1ef1c t\u1ebf, \u0111\u1ec3 \u0111\u1ea1t level mid-level DS (25\u201340 tri\u1ec7u\/th\u00e1ng) th\u01b0\u1eddng c\u1ea7n \u00edt nh\u1ea5t 2\u20133 n\u0103m kinh nghi\u1ec7m th\u1ef1c chi\u1ebfn v\u1edbi d\u1ef1 \u00e1n th\u1eadt \u2014 kh\u00f4ng ph\u1ea3i ch\u1ec9 h\u1ecdc xong course.<\/p>\n<\/div>\n

4. M\u1ee9c L\u01b0\u01a1ng Data Scientist T\u1ea1i Vi\u1ec7t Nam<\/h2>\n

\u2013 Junior DS (0\u20132 n\u0103m)<\/strong>: 15\u201325 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng, th\u01b0\u1eddng t\u1ea1i startup ho\u1eb7c c\u00f4ng ty tech n\u1ed9i \u0111\u1ecba.<\/p>\n

\u2013 Mid-level DS (2\u20135 n\u0103m)<\/strong>: 25\u201350 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng. \u0110\u00e2y l\u00e0 range ph\u1ed5 bi\u1ebfn nh\u1ea5t tr\u00ean th\u1ecb tr\u01b0\u1eddng hi\u1ec7n t\u1ea1i.<\/p>\n

\u2013 Senior DS (5+ n\u0103m)<\/strong>: 50\u2013100 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng, \u0111\u1eb7c bi\u1ec7t t\u1ea1i c\u00f4ng ty n\u01b0\u1edbc ngo\u00e0i, fintech, v\u00e0 c\u00e1c trung t\u00e2m AI nh\u01b0 VinAI, FPT AI Research.<\/p>\n

\u2013 DS t\u1ea1i c\u00f4ng ty n\u01b0\u1edbc ngo\u00e0i (remote ho\u1eb7c offshore)<\/strong>: Thu nh\u1eadp c\u00f3 th\u1ec3 \u0111\u1ea1t 2.000\u20135.000 USD\/th\u00e1ng n\u1ebfu l\u00e0m vi\u1ec7c cho c\u00f4ng ty US\/EU.<\/p>\n

Nhu c\u1ea7u tuy\u1ec3n d\u1ee5ng DS t\u1ea1i Vi\u1ec7t Nam t\u0103ng m\u1ea1nh nh\u1ea5t trong ba ng\u00e0nh: t\u00e0i ch\u00ednh-ng\u00e2n h\u00e0ng (credit scoring, fraud detection), th\u01b0\u01a1ng m\u1ea1i \u0111i\u1ec7n t\u1eed (recommendation system, demand forecasting) v\u00e0 y t\u1ebf (medical imaging, patient outcome prediction).<\/p>\n

Xem th\u00eam Big Data<\/a> \u0111\u1ec3 hi\u1ec3u m\u00f4i tr\u01b0\u1eddng d\u1eef li\u1ec7u m\u00e0 DS l\u00e0m vi\u1ec7c h\u00e0ng ng\u00e0y, v\u00e0 xem c\u00e1c v\u1ecb tr\u00ed IT ph\u1ea7n m\u1ec1m \u0111ang tuy\u1ec3n \u0111\u1ec3 n\u1eafm b\u1eaft nhu c\u1ea7u th\u1ef1c t\u1ebf c\u1ee7a th\u1ecb tr\u01b0\u1eddng.<\/p>\n

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L\u1ed9 tr\u00ecnh t\u1ef1 h\u1ecdc Data Science t\u1eeb 0:<\/strong><\/p>\n

\u2013 Th\u00e1ng 1\u20133: Python c\u01a1 b\u1ea3n (pandas, numpy) + SQL + th\u1ed1ng k\u00ea x\u00e1c su\u1ea5t c\u01a1 b\u1ea3n.<\/p>\n

\u2013 Th\u00e1ng 3\u20136: Machine learning v\u1edbi Scikit-learn, l\u00e0m \u00edt nh\u1ea5t 3 project th\u1eadt tr\u00ean Kaggle.<\/p>\n

\u2013 Th\u00e1ng 6\u201312: Ch\u1ecdn 1 ng\u00e0nh chuy\u00ean s\u00e2u (fintech\/ecommerce\/healthcare), hi\u1ec3u domain knowledge.<\/p>\n

\u2013 N\u0103m 2: Xin intern ho\u1eb7c junior DS, x\u00e2y d\u1ef1ng portfolio GitHub v\u1edbi project c\u00f3 t\u00e1c \u0111\u1ed9ng th\u1ef1c t\u1ebf.<\/p>\n<\/div>\n

5. Th\u1ecb tr\u01b0\u1eddng lao \u0111\u1ed9ng Data Scientist v\u00e0 CNTT ph\u1ea7n m\u1ec1m (2026)<\/h2>\n
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D\u1eef li\u1ec7u th\u1ecb tr\u01b0\u1eddng lao \u0111\u1ed9ng (2026)<\/strong><\/p>\n

\u2013 S\u1ed1 v\u1ecb tr\u00ed \u0111ang tuy\u1ec3n tr\u00ean CareerLink: 434 v\u1ecb tr\u00ed<\/strong><\/p>\n

\u2013 M\u1ee9c l\u01b0\u01a1ng ph\u1ed5 bi\u1ebfn: 15\u201340 tri\u1ec7u \u0111\u1ed3ng\/th\u00e1ng<\/strong><\/p>\n

\u2013 Nh\u00e0 tuy\u1ec3n d\u1ee5ng ti\u00eau bi\u1ec3u: C\u00f4ng Ty TNHH Taixin Printing Vina, Kh\u1ed1i B\u00e1n l\u1ebb Th\u1ef1c Ph\u1ea9m (GO, Tops Market, , C\u00f4ng ty TNHH May M\u1eb7c Alliance One<\/p>\n

\u2013 Quy \u0111\u1ecbnh li\u00ean quan: Lu\u1eadt An to\u00e0n th\u00f4ng tin m\u1ea1ng 86\/2015, ch\u1ee9ng ch\u1ec9 AWS Certified, Microsoft Azure, Python, SQL, Scrum Master, quy tr\u00ecnh Agil<\/p>\n<\/div>\n

CareerLink ghi nh\u1eadn 434 v\u1ecb tr\u00ed CNTT ph\u1ea7n m\u1ec1m<\/strong> \u0111ang tuy\u1ec3n th\u00e1ng 6\/2026, trong \u0111\u00f3 Data Scientist v\u00e0 AI Engineer l\u00e0 nh\u00f3m t\u0103ng tr\u01b0\u1edfng nhanh nh\u1ea5t. C\u00e1c c\u00f4ng ty FPT, VNG, Tiki, Momo \u0111ang t\u00edch c\u1ef1c tuy\u1ec3n d\u1ee5ng nh\u00e2n t\u00e0i d\u1eef li\u1ec7u v\u1edbi m\u1ee9c l\u01b0\u01a1ng c\u1ea1nh tranh. Th\u00e0nh th\u1ea1o Lu\u1eadt An to\u00e0n th\u00f4ng tin m\u1ea1ng 86\/2015, ch\u1ee9ng ch\u1ec9 AWS Certified, Microsoft Azure, Python, SQL, Scrum Master, quy tr\u00ecnh Agile\/DevOps l\u00e0 y\u00eau c\u1ea7u t\u1ed1i thi\u1ec3u cho Data Scientist mu\u1ed1n v\u00e0o m\u00f4i tr\u01b0\u1eddng doanh nghi\u1ec7p l\u1edbn.<\/p>\n\n\n\n\n\n\n\n\n
V\u1ecb tr\u00ed<\/th>\nNhu c\u1ea7u<\/th>\nM\u1ee9c l\u01b0\u01a1ng<\/th>\nY\u00eau c\u1ea7u ch\u00ednh<\/th>\n<\/tr>\n<\/thead>\n
Data Scientist \/ AI Engineer<\/td>\nNhi\u1ec1u<\/td>\n25\u201350 tri\u1ec7u<\/td>\nPython, ML, SQL, TensorFlow<\/td>\n<\/tr>\n
Product Manager (Tech)<\/td>\nNhi\u1ec1u<\/td>\n20\u201345 tri\u1ec7u<\/td>\nAgile, roadmap, data analysis<\/td>\n<\/tr>\n
Backend Developer (Node\/Java)<\/td>\nNhi\u1ec1u<\/td>\n18\u201340 tri\u1ec7u<\/td>\nAPI, microservices, cloud<\/td>\n<\/tr>\n
Business Analyst (IT)<\/td>\nNhi\u1ec1u<\/td>\n15\u201330 tri\u1ec7u<\/td>\nSQL, BPMN, giao ti\u1ebfp stakeholder<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

B\u1ea1n c\u00f3 th\u1ec3 kh\u00e1m ph\u00e1 c\u00e1c c\u01a1 h\u1ed9i vi\u1ec7c l\u00e0m li\u00ean quan t\u1ea1i chuy\u00ean m\u1ee5c vi\u1ec7c l\u00e0m CNTT ph\u1ea7n m\u1ec1m<\/a> tr\u00ean CareerLink \u0111\u1ec3 n\u1eafm b\u1eaft y\u00eau c\u1ea7u th\u1ef1c t\u1ebf t\u1eeb nh\u00e0 tuy\u1ec3n d\u1ee5ng.<\/p>\n

\n

L\u1eddi khuy\u00ean t\u1eeb chuy\u00ean gia CareerLink<\/strong><\/p>\n

\u2013 Th\u00e0nh th\u1ea1o Python + SQL + m\u1ed9t n\u1ec1n t\u1ea3ng cloud (AWS\/Azure\/GCP) l\u00e0 combo t\u1ed1i thi\u1ec3u cho Data Scientist.<\/p>\n

\u2013 Ch\u1ee9ng ch\u1ec9 AWS Certified ho\u1eb7c Google Cloud Professional t\u0103ng m\u1ee9c l\u01b0\u01a1ng kh\u1edfi \u0111i\u1ec3m 20\u201330% so v\u1edbi kh\u00f4ng c\u00f3.<\/p>\n

\u2013 Portfolio d\u1ef1 \u00e1n th\u1ef1c t\u1ebf tr\u00ean GitHub (model ML, API, dashboard Power BI) quan tr\u1ecdng h\u01a1n b\u1eb1ng c\u1ea5p.<\/p>\n<\/div>\n

5. C\u00e2u h\u1ecfi th\u01b0\u1eddng g\u1eb7p<\/h2>\n

1. Data scientist v\u00e0 data analyst kh\u00e1c nhau nh\u01b0 th\u1ebf n\u00e0o v\u1ec1 l\u01b0\u01a1ng?<\/em><\/strong> Trung b\u00ecnh Data Scientist c\u00f3 l\u01b0\u01a1ng cao h\u01a1n Data Analyst kho\u1ea3ng 20\u201340% \u1edf c\u00f9ng level kinh nghi\u1ec7m, do y\u00eau c\u1ea7u k\u1ef9 n\u0103ng ML\/modeling ph\u1ee9c t\u1ea1p h\u01a1n. Tuy nhi\u00ean Senior DA t\u1ea1i c\u00f4ng ty l\u1edbn c\u00f3 th\u1ec3 c\u00f3 l\u01b0\u01a1ng ngang Senior DS \u1edf c\u00f4ng ty nh\u1ecf h\u01a1n.<\/p>\n

2. C\u1ea7n h\u1ecdc ng\u00e0nh g\u00ec \u0111\u1ec3 tr\u1edf th\u00e0nh data scientist?<\/em><\/strong> Kh\u00f4ng c\u00f3 ng\u00e0nh duy nh\u1ea5t. To\u00e1n \u1ee9ng d\u1ee5ng, Th\u1ed1ng k\u00ea, CNTT, Khoa h\u1ecdc m\u00e1y t\u00ednh, V\u1eadt l\u00fd l\u00e0 c\u00e1c n\u1ec1n t\u1ea3ng ph\u1ed5 bi\u1ebfn nh\u1ea5t. Quan tr\u1ecdng h\u01a1n ng\u00e0nh h\u1ecdc l\u00e0 kh\u1ea3 n\u0103ng t\u01b0 duy \u0111\u1ecbnh l\u01b0\u1ee3ng v\u00e0 k\u1ef9 n\u0103ng l\u1eadp tr\u00ecnh Python\/R.<\/p>\n

3. Data scientist c\u00f3 c\u1ea7n bi\u1ebft deep learning kh\u00f4ng?<\/em><\/strong> Kh\u00f4ng b\u1eaft bu\u1ed9c cho m\u1ecdi v\u1ecb tr\u00ed. Nhi\u1ec1u DS l\u00e0m vi\u1ec7c ho\u00e0n to\u00e0n hi\u1ec7u qu\u1ea3 v\u1edbi classical ML (Random Forest, XGBoost, Logistic Regression). Deep learning c\u1ea7n thi\u1ebft h\u01a1n trong x\u1eed l\u00fd \u1ea3nh, NLP v\u00e0 c\u00e1c b\u00e0i to\u00e1n c\u00f3 d\u1eef li\u1ec7u l\u1edbn phi c\u1ea5u tr\u00fac.<\/p>\n

T\u00f3m l\u1ea1i, data scientist<\/strong> l\u00e0 v\u1ecb tr\u00ed \u0111\u00f2i h\u1ecfi n\u1ec1n t\u1ea3ng k\u1ef9 thu\u1eadt m\u1ea1nh, t\u01b0 duy ph\u00e2n t\u00edch s\u1eafc b\u00e9n v\u00e0 kh\u1ea3 n\u0103ng giao ti\u1ebfp v\u1edbi ng\u01b0\u1eddi kh\u00f4ng chuy\u00ean k\u1ef9 thu\u1eadt. V\u1edbi nhu c\u1ea7u tuy\u1ec3n d\u1ee5ng t\u0103ng li\u00ean t\u1ee5c v\u00e0 m\u1ee9c l\u01b0\u01a1ng h\u1ea5p d\u1eabn, \u0111\u00e2y l\u00e0 l\u1ef1a ch\u1ecdn ngh\u1ec1 nghi\u1ec7p \u0111\u00e1ng \u0111\u1ea7u t\u01b0 h\u1ecdc h\u1ecfi l\u00e2u d\u00e0i.<\/p>\n

N\u1ed9i dung b\u00e0i vi\u1ebft mang t\u00ednh tham kh\u1ea3o, m\u1ee9c l\u01b0\u01a1ng v\u00e0 nhu c\u1ea7u tuy\u1ec3n d\u1ee5ng c\u00f3 th\u1ec3 thay \u0111\u1ed5i theo th\u1eddi \u0111i\u1ec3m v\u00e0 t\u00ecnh h\u00ecnh th\u1ecb tr\u01b0\u1eddng.<\/em><\/p>\n

Minh An<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Data scientist l\u00e0 g\u00ec? T\u00ecm hi\u1ec3u vai tr\u00f2 nh\u00e0 khoa h\u1ecdc d\u1eef li\u1ec7u, c\u00f4ng vi\u1ec7c h\u00e0ng ng\u00e0y, k\u1ef9 n\u0103ng c\u1ea7n c\u00f3, m\u1ee9c l\u01b0\u01a1ng th\u1ef1c t\u1ebf t\u1ea1i Vi\u1ec7t Nam v\u00e0 l\u1ed9 tr\u00ecnh \u0111\u1ec3 tr\u1edf th\u00e0nh data scientist chuy\u00ean nghi\u1ec7p.<\/p>\n","protected":false},"author":58,"featured_media":24267,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-24208","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tim-viec"],"_links":{"self":[{"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/posts\/24208","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/comments?post=24208"}],"version-history":[{"count":7,"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/posts\/24208\/revisions"}],"predecessor-version":[{"id":25804,"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/posts\/24208\/revisions\/25804"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/media\/24267"}],"wp:attachment":[{"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/media?parent=24208"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/categories?post=24208"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.careerlink.vn\/cam-nang-viec-lam\/wp-json\/wp\/v2\/tags?post=24208"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}