这是什么公司？

公司目前运营国内最大的经管教育互动交流平台——经管之家（原人大经济论坛）。经管之家（原人大经济论坛）依托中国人民大学，由中国人民大学经济学院于2003 年成立，目前已经发展成为国内最大的经济、管理、金融、统计类的在线教育和咨询网站，也是国内最活跃和最具影响力的经济类网站之一。
2007年成立“数据分析培训中心”，致力于开展统计软件、数据分析和数据挖掘的培训与咨询服务，发展至今，“数据分析培训中心”已经成为最具影响力和知名度的数据分析培训机构，我们一直努力做到：将数据分析变成一门常识，让统计软件成为学术研究的好伙伴，企业经营的好军师。目前服务过的企业包括中国电子商务中心、招商银行、中国人民银行、中国邮政储蓄、中国联通、中国汽车技术研究中心等机构。
2013年创办了CDA数据分析师项目，旨在加强国内外乃至全球范围内正规化、科学化、专业化的数据分析人才队伍建设，进一步提升数据分析师的职业素养与能力水平，促进数据分析行业的高质量持续快速发展。
目前，公司已开发的课程涉及经济、金融、数据分析等各领域，经管之家，做最好的经管教育。

需要怎样的你？

公司简介：
药明康德集团是国际领先的开放式能力与技术平台公司，为全球制药及医疗器械等领域提供从药物发现、开发到市场化的全方位一体化的实验室研发和生产服务。本着以研究为首任，以客户为中心的宗旨，公司通过高性价比、高效率的服务平台帮助全球客户缩短药物及医疗器械研发周期、降低研发成本。药明康德集团平台涵括小分子药物研发及生产、细胞疗法与基因疗法研发生产、医疗器械测试平台，正承载着来自全球30多个国家的3000多家创新合作伙伴的数千个研发创新项目，致力于将最新和最好的医药和健康产品带给全球病患，实现“让天下没有难做的药，难治的病”的梦想。

岗位职责:
1 Provide data analysis and up-to-date research in AI technologies for real-world applications;
2 Formulate big data and AI problems, design and build pipelines to meet various business needs in a real-world setting;
3 Perform real-world (big) data analysis using machine learning and AI methods with specialization in one of the following areas:
•Data science: data cleansing, transformation and normalization, association analysis, data mining (prediction, classification), time series analysis, workflow optimization, visual analytics (business intelligence);
•AI/Machine Learning: supervised/unsupervised/reinforcement (MCTS)/transferred learning, deep learning (cNN, rNN, LSTM, GAN), AI applications in automation
•Natural Language Processing (NLP): machine translation, semantic analysis, content digest, text mining, knowledge graphs, interactive/visual NLP systems;
4 Take ownership and complete big data & AI projects with business partners, coordinate with engineers, and IT to make scalable big data and AI deployment;
5 Analyze and share cutting-edge big data and AI technologies related to businesses, promote big data & AI results and best practices across businesses
任职要求:
1 Master/PhD in STEM or related areas (data science, AI, machine learning, operational research, biomedical engineering, biostatistics) with (preferably industrial) experience in data analysis;
2 Excellent problem analysis and solving skills with outstanding communication and teamwork capability, good sense of data and outstanding research capability;
3 Hands-on experience in real-world data analysis applications with competency of building practical data analytics pipelines with result visualization (using Python, R, Java, NoSQL, etc.), and knowledge in (deep) learning frameworks (Tensorflow, Pytorch, Spark, AutoML, RapidMiner, Weka, etc.) preferably hands-on experience;
4 Experience in visual analytics (D3, AngularJS, processing, Silverlight, etc.) and business intelligence tools (Tableau, Qlik view, Sisense, MS BI, etc.) is a plus;
5 Knowledge in operation analytics, optimization in pharmaceutical and clinical domains is preferred;
6 Familiarity with clinical informatics & analytics, drug development, biology, chemistry and/or genomics is a plus.