{"job":{"jobId":2422992,"fk_accountId":null,"fk_organizationId":483,"fk_adminAccountId":null,"title":"Research Associate, Department of Analytics and Operations","description":"\n\n<p style=\"margin-bottom: 20px; font-family: san-serif;\"><b>Job Description</b></p>\n\n\n<p style=\"margin-bottom: 20px; font-family: san-serif;\">We are looking for an experienced data scientist to join us at NUS Business Analytics Labs to develop data intensive high-performance applications. You should be comfortable with cloud services such as AWS, Google Cloud. Container orchestration will be plus.</p>\n\n\n<ul>\n<li>Responsible for the research and development and iteration of scenario recommendation algorithm, including retrieval, coarse ranking, precise ranking, and re-ranking, etc., to improve user experience and revenue</li>\n<li>Implement federated recommender systems to preserve privacy with differential privacy and other data privacy-preserving methods</li>\n<li>Analyze business data and formulate corresponding recommendation strategies</li>\n<li>Communicate with relevant business teams and participate in the assessment and implementation of business needs.</li>\n<li>Create MLFlow pipelines to deploy, monitor and conduct user experiments using larger deep learning models</li>\n</ul>\n\n\n<p style=\"margin-bottom: 20px; font-family: san-serif;\"><b>Job Requirements</b></p>\n\n\n<ul>\n<li>A Master's degree in Computer Science, Information Systems, Data Science or Operations Research</li>\n<li>Solid algorithmic skills and excellent coding ability in Python, PyTorch/tensorflow framework and SQL</li>\n<li>Familiar with various retrieval algorithms, Click-through Rate/Conversion Rate estimation, re-ranking models, etc.</li>\n<li>Able to understand the business in depth, grasps concepts easily and is sensitive to data.</li>\n<li>At least 3 years of algorithm development experience in recommendation, search, and advertising, working experience in e-commerce is preferred</li>\n<li>Strong organizational and management skills.</li>\n<li>Goal-oriented, proactive, and able to execute projects effectively good communication skills and teamwork spirit</li>\n<li>Familiarity with NLP is preferred. Should be comfortable using machine learning and deep learning approaches to recommender systems and NLP.</li>\n</ul>\n\n\n<p style=\"margin-bottom: 20px; font-family: san-serif;\"><b>More Information</b></p>\n\n\n<p style=\"margin-bottom: 20px; font-family: san-serif;\"><strong>Location</strong>: Kent Ridge Campus\n<strong>Organization</strong>: School of Business\n<strong>Department </strong>: Analytics And Operations\n<strong>Employee Referral Eligible: </strong>No\n<strong>Job requisition ID :</strong> 8269</p>\n\n\n","pdfUrl1":null,"location":"Singapore","location1":"아시아","location2":null,"location3":null,"type":"2","applyUrl":"https://careers.nus.edu.sg/NUS/job/Kent-Ridge-Research-Associate%2C-Dept-of-Analytics-and-Operations-Kent/5725144/","fileUrl1":null,"fileUrl2":null,"fileUrl3":null,"fileUrl4":null,"fileUrl5":null,"fileUrl6":null,"fileUrl7":null,"workingHour":"Full Time","contractType":"Permanent","salary":null,"original_id":"UNI|280505","original_domain":"timeshighereducation.com","original_url":"https://www.timeshighereducation.com/unijobs/listing/280505","original_isPremium":null,"closeType":1,"closedAt":"2022-03-09T00:00:00.000Z","requireEducation":10,"managerTel":null,"managerFax":null,"managerEmail":null,"managerName":"NATIONAL UNIVERSITY OF SINGAPORE","managerPhone":null,"managerAddress":"Singapore","log_hit":11,"log_like":0,"publishState":1,"organizationName":null,"organizationName_en":null,"organizationName_alt":null,"del_yn":"N","createdAt":"2022-02-07T20:13:02.000Z","updatedAt":"2022-02-07T20:13:02.000Z"},"organization":{"organizationId":483,"lv1Id":null,"lv2Id":null,"name":"National University of Singapore","name_en":"National University of Singapore","name_alt":",","introduction":"<p>As Singapore’s flagship university and among Asia’s best, the <a href=\"http://www.nus.edu.sg/\">National University of Singapore (NUS)</a> offers a global approach to education, research and entrepreneurship, with a focus on Asian perspectives and expertise.</p><p> </p><p>Our 17 faculties across three campuses in Singapore – Kent Ridge, Bukit Timah and Outram – provide a rigorous broad-based curriculum underscored by cross-faculty enrichment. We have pioneered many innovative academic programmes which include student exchange, entrepreneurial internships at <a href=\"https://enterprise.nus.edu.sg/educate/nus-overseas-colleges\">12 NUS Overseas Colleges</a>, as well as double, joint and concurrent degree programmes with some of the world’s best universities. Close to 40,000 students from 100 countries enrich our vibrant and diverse campus community.</p><p> </p><p>The University’s multidisciplinary and real-world approach to education, research and entrepreneurship enables us to work closely with industry, governments and academia to address crucial and complex issues relevant to Asia and the world. Researchers in our faculties, 29 university-level research institutes, research centres of excellence and corporate labs focus on themes that include energy, environmental and urban sustainability; treatment and prevention of diseases common among Asians; active ageing; advanced materials; as well as risk management and resilience of financial systems. The University’s latest research focus is to use data science, operations research and cybersecurity to support Singapore's Smart Nation initiative. We also strive to create a supportive and innovative environment to promote creative enterprise within our community.</p>","logoImg":"https://s3.ap-northeast-2.amazonaws.com/jobs.ac.kr/dev/images/다운로드(2)_1347216054377.png","logoImgSquare":"https://s3.ap-northeast-2.amazonaws.com/jobs.ac.kr/dev/bin/1200px-NUS_coat_of_arms_196665413153.svg","homepageUrl":"http://www.nus.edu.sg","infoUrl":"https://www.timeshighereducation.com/world-university-rankings/national-university-singapore","country":"SG","state":"Singapore","location":"아시아","address":"21 Lower Kent Ridge Road, 119077, Singapore","phoneNumber":"+65 6516 6666","faxNumber":"","type":1,"univType1":"대학","univType2":"대학교","univType3":"","univType4":"본교","establishedAt":"1970-01-01T00:00:00.000Z","count_majors":null,"count_students":null,"meta_competitiveness":"","publishState":1,"updatedAt":"2020-04-03T18:01:08.000Z","createdAt":"2020-03-04T20:13:07.000Z","default_1_bannerImage":null,"default_1_bannerImageMobile":null,"default_2_bannerImage":null,"default_2_bannerImageMobile":null,"default_3_bannerImage":"https://s3.ap-northeast-2.amazonaws.com/jobs.ac.kr/production/images/1653632913461/nus.jpg","default_3_bannerImageMobile":null}}