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Prior research shows salary levels differ across job fields, reflecting how each field uniquely contributes to its domain. This analysis examines the salaries dataset to identify factors shaping salary levels in these areas. Trend exploration supports understanding of the sustained value of these fields in coming years.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/exploring-salary-trends-in-data-science-artificial-intelligence-and-machine-learning-a-comprehensive-analysis/126912/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/exploring-salary-trends-in-data-science-artificial-intelligence-and-machine-learning-a-comprehensive-analysis/126912.png","ImageObject",300,407,{"name":92,"@type":93},"Aria","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-18","2026-08-05",true,{"@type":102,"interactionType":103,"userInteractionCount":24},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why do salary levels differ across data science, AI, and machine learning jobs?","Question",{"text":112,"@type":113},"Salary levels vary across job fields because each field contributes uniquely to its respective domain, and the magnitude of that contribution influences salary structure.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What is the main goal of this comprehensive salary analysis?",{"text":117,"@type":113},"The project aims to examine the salaries dataset and identify factors that influence salary levels in data science, artificial intelligence, and machine learning roles.",{"name":119,"@type":110,"acceptedAnswer":120},"How can the explored salary trends be used for future decision-making?",{"text":121,"@type":113},"By analyzing these trends, readers can gain insights into the continued value and outlook of these fields in the coming years.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},126912,1785935624,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":24,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":14,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":129,"read_time":24},2336474459895,"https://ap-avatar.wpscdn.com/avatar/22000baeef7a5ed0655?x-image-process=image/resize,m_fixed,w_180,h_180&k=1786071322749376916","12/ 12/24 , 3:59 PM Scopus-Print Document  \nDocuments  \nKhan, M. R. B.a , Islam, G. M. N.a , Ng, P. K. b , Zainuddin, A.A.d , Lean, C. P.c , Al-Fattah, J.e , Basri, A. B.d , Kamarudin, S. I.f  \nExploring salary trends in data science, artificial intelligence, and machine learning: A comprehensive analysis  \n(2024) AIP Conference Proceedings, 3123 (1), [art. no. 020004](art. no. 020004) , .  \nDOI: 10. 1063/5 .0224376  \na Tun Razak Graduate School, Universiti Tun Abdul Razak (UNIRAZAK), Kuala Lumpur, Malaysia  \nb Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, Bukit Beruang, Melaka, Malaysia c Manipal International University, Negeri Sembilan, Putra, Nilai, Malaysia  \nd Department of Computer Science, International Islamic University Malaysia (IIUM), Kuala Lumpur, Malaysia e Fakulti Kejuruteraan Elektrik Dan Elektronik, Universiti Tun Hussein Onn, Parit Raja, Johor, Malaysia f College of Computing Informatics and Media, Universiti Teknologi MARA (UiTM), Selangor, Shah Alam, Malaysia  \nAbstract  \nThe rapid advancement of Data Science, Artificial Intelligence, and Machine Learning has created a dynamic job market. Inline with other professions, salaries are provided as a means of compensating professionals for their work. However, it is evident from previous research that salary levels vary across different job fields, as each field contributes uniquely to its respective domain. The magnitude of this contribution directly influences the salary structure within a field. To shed light on this phenomenon, this data analysis project aims to examine the salaries dataset. The project's objective is to identify the factors that influence salary levels in these fields through comprehensive analysis. By exploring these trends, we can gain insights into the continued value of these fields in the coming years. © 2024 Author(s) .  \nReferences  \n Mauro, A.D. , Greco, M. , Grimaldi, M. , Nobili, G.  \nBeyond Data Scientists: A Review of Big Data Skills and Job Families  \n(2016) Proceedings of 1 1\u003Csup>th\u003C/sup>International Forum on Asset Knowledge Dynamics, pp. 1844-1857.  \nDresden, Germany, 15-17 June 2016 (Dresden University of Technology)  \n Luo, G. , Yuan, Q. , Li, J. , Wang, S. , Yang, F.  \n(2022) IEEE Network, 36 (3), pp. 136-144.  \n Mahesh, B.  \n(2020) IJSR, 9 (1), pp. 381-386.  \n Setiawan, N. , Nasution, M.D.T.P. , Rossanty, Y. , Tambunan, A.R.S. , Girsang, M. , Agus, R.T.A. , Yusuf, M. , Perdana, S.  \n(2018) Int. J. Eng. Technol. , 7, pp. 309-331.  \n Romanoff, K. , Boehm, K. , Benson, E.  \n(1986) Compens. Benefits Rev. , 18 (6), pp. 17-25.  \n Li, B.  \n(2021) J. Phys. Conf. Ser. , 1881 (3) .  \n Quan, T.Z. , Raheem, M.  \n(2022) JATI, 6 (3), pp. 70-74.  \n Klein, A. , Falkner, S. , Bartels, S. , Hennig, P. , Hutter, F.  \n(2017) AISTATS, pp. 528-536.  \n Zhao, X.  \n'Predicting the salary in data science through BP neural network', in  \n(2022) 2nd International Conference on Applied Mathematics, Modelling, and Intelligent  \n[https://www.scopus.com/citation/print.uri?origin=recordpage&sid=&src=s&stateKey=OFD_1869741789&eid=2-s2.0-85203134255&sort=&clickedL](https://www.scopus.com/citation/print.uri?origin=recordpage&sid=&src=s&stateKey=OFD_1869741789&eid=2-s2.0-85203134255&sort=&clickedL)… 1/2  \n12/ 12/24 , 3:59 PM Scopus-Print Document  \n12259, 1479 1487  \nComputing, pp. - .  \nKunming, Yunnan, China, 25-27 March 2022 (CAMMIC 2022)  \nVerma, A. , Yurov, K. M. , Lane, P. L. , Yurova, Y.V.  \n(2019) J. Educ. Bus. , 94 (4), pp. 243-250.  \nHsu, C.-Y. , Wen, C.-C. , Chen, Y.-H.  \n(2021) Jpn. J. Stat. Data Sci. , 4 (2), pp. 999-1018.  \nKluyver, T. , Ragan-Kelley, B. , Pérez, F. , Granger, B. E. , Bussonnier, M. , Frederic, J. , Kelley, K. , Ivanov, P.  \n(2016) Positioning and Power in Academic Publishing: Players, Agents and Agendas. IOS Press, pp. 87-90.  \nUniversity of Southampton  \nMillman, K.J. , Aivazis, M.  \n(2011) Comput. Sci. Eng. , 13 (2), pp. 9-12.  \nMcDaniel, M.A. , Schmidt, F. L. , Hunter, J. E.  \n(1988) ","cbCaiqGfapTmqPi6","https://ap.wps.com/l/cbCaiqGfapTmqPi6","pdf",148307,"English","# Abstract\n## Research objective and dataset analysis\n## Salary determinants across fields\n## Expected insights for future value","[{\"question\":\"Why do salary levels differ across data science, AI, and machine learning jobs?\",\"answer\":\"Salary levels vary across job fields because each field contributes uniquely to its respective domain, and the magnitude of that contribution influences salary structure.\"},{\"question\":\"What is the main goal of this comprehensive salary analysis?\",\"answer\":\"The project aims to examine the salaries dataset and identify factors that influence salary levels in data science, artificial intelligence, and machine learning roles.\"},{\"question\":\"How can the explored salary trends be used for future decision-making?\",\"answer\":\"By analyzing these trends, readers can gain insights into the continued value and outlook of these fields in the coming years.\"}]","Exploring salary trends in data science, artificial intelligence, and machine learning - A comprehensive analysis | PDF"]