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Chief Science Officer (CSO) 首席科學(xué)官 The Company 公司簡(jiǎn)介 A leading Multinational Technology company dedicated to leveraging the power of big data to drive innovation, optimize operations, and enhance customer experiences. 領(lǐng)先的跨國(guó)科技公司致力于利用大數(shù)據(jù)的力量推動(dòng)創(chuàng)新、優(yōu)化運(yùn)營(yíng)，并提高顧客體驗(yàn)。 The Career 工作職責(zé) 1. Develop and execute a comprehensive big data strategy, aligned with the organization's strategic objectives and industry trends. 制定并執(zhí)行全面大數(shù)據(jù)戰(zhàn)略，確保該戰(zhàn)略與公司的戰(zhàn)略目標(biāo)和行業(yè)趨勢(shì)保持一致。 2. Lead a multidisciplinary team of data scientists, analysts, and researchers in developing advanced data models, predictive analytics, and machine learning solutions. 帶領(lǐng)由數(shù)據(jù)科學(xué)家、分析師和研究人員組成的跨學(xué)科團(tuán)隊(duì)，負(fù)責(zé)開(kāi)發(fā)先進(jìn)的數(shù)據(jù)模型、預(yù)測(cè)分析和機(jī)器學(xué)習(xí)解決方案。 3. Drive data-driven decision-making by translating complex data into actionable insights and strategies. 將復(fù)雜數(shù)據(jù)轉(zhuǎn)化為可操作的見(jiàn)解和策略，以推動(dòng)數(shù)據(jù)驅(qū)動(dòng)的決策過(guò)程。 4. Oversee the design and maintenance of data architectures that facilitate efficient data collection, storage, and processing. 監(jiān)督數(shù)據(jù)架構(gòu)的設(shè)計(jì)與維護(hù)，以提高數(shù)據(jù)收集、存儲(chǔ)和處理的效率。 5. Establish and enforce data governance policies to maintain data accuracy, integrity, and compliance with regulations. 創(chuàng)建并實(shí)施數(shù)據(jù)治理策略，以確保數(shù)據(jù)的準(zhǔn)確性、完整性和合規(guī)性。 6. Stay at the forefront of emerging data science technologies and tools, ensuring their effective implementation in the organization. 追蹤最新數(shù)據(jù)科技和工具的發(fā)展動(dòng)態(tài)，確保其在公司中能有效運(yùn)用。 7. Foster a culture of innovation by encouraging research and development activities that drive data science excellence. 推動(dòng)數(shù)據(jù)科學(xué)卓越研發(fā)，激發(fā)創(chuàng)新文化氛圍。 8. Collaborate with departments across the organization to integrate data science capabilities into various business processes and decision-making. 協(xié)調(diào)公司各部門(mén)，將數(shù)據(jù)科學(xué)功能融入業(yè)務(wù)流程和決策。 9. Ensure data security and privacy are maintained through robust measures, including encryption, access controls, and compliance with data protection regulations. 采取加密、訪問(wèn)控制和遵守?cái)?shù)據(jù)保護(hù)法規(guī)等有效措施，以確保數(shù)據(jù)安全和隱私得到充分保障。10. Develop and manage the department's budget, optimizing resource allocation to align with strategic priorities. 制定和管理部門(mén)的預(yù)算，并優(yōu)化資源分配，以符合戰(zhàn)略重點(diǎn)的需求。 The Requirements 職位要求 1. A Ph.D. in Computer Science, Statistics, Data Science, or a related field. 擁有計(jì)算機(jī)科學(xué)、統(tǒng)計(jì)學(xué)、數(shù)據(jù)科學(xué)或相關(guān)領(lǐng)域的博士學(xué)位。 2. With over 10 years extensive experience in data science and analytics, with a proven track record of leadership in a similar role. 擁有10年以上數(shù)據(jù)科學(xué)和分析的相關(guān)經(jīng)驗(yàn)，并在類似崗位上擁有卓越的領(lǐng)導(dǎo)表現(xiàn)。 3. In-depth knowledge of big data technologies, machine learning, and data modeling. 對(duì)大數(shù)據(jù)、機(jī)器學(xué)習(xí)和數(shù)據(jù)模型技術(shù)有深入了解。 4. Exceptional leadership, team-building, and communication skills. 具備卓越的領(lǐng)導(dǎo)能力、團(tuán)隊(duì)建設(shè)能力和溝通能力。 5. Strong problem-solving abilities and a results-driven mindset. 具備較強(qiáng)的問(wèn)題解決能力和以結(jié)果為導(dǎo)向的思維方式。 6. Up-to-date knowledge of data protection and privacy regulations. 具備最新的數(shù)據(jù)保護(hù)和隱私保護(hù)法律知識(shí)。 NOTICE: Please provide profile in English and Chinese. 請(qǐng)?zhí)峁┠闹杏⑽暮?jiǎn)歷。