The Career工作職責(zé) 1. Develop and execute a comprehensive AI strategy that aligns with the company's overall business objectives and industry trends. 制定人工智能戰(zhàn)略，以符合公司整體業(yè)務(wù)目標(biāo)和行業(yè)趨勢，并確保其有效執(zhí)行。 2. Oversee the research, development, and implementation of AI technologies and solutions to enhance our products, services, and internal processes. 監(jiān)督人工智能技術(shù)和解決方案的研究、開發(fā)和實施，以完善我們的產(chǎn)品、服務(wù)和內(nèi)部流程。 3. Lead, mentor, and develop a high-performing team of AI engineers, data scientists, and AI specialists. 領(lǐng)導(dǎo)和發(fā)展一支由人工智能工程師、數(shù)據(jù)科學(xué)家和人工智能專家組成的高績效團隊。 4. Establish and enforce AI ethics and governance policies to ensure the responsible and ethical use of AI technologies. 建立并執(zhí)行人工智能的倫理、治理政策，以確保負責(zé)任并合乎道德地使用人工智能技術(shù)。 5. Foster a culture of innovation by encouraging research and development activities in AI that drive technological excellence. 通過鼓勵技術(shù)卓越的人工智能研發(fā)活動，培養(yǎng)創(chuàng)新文化。 6. Stay up-to-date with the latest AI technologies, evaluate their potential applications, and guide the organization in adopting appropriate AI tools. 了解最新的人工智能技術(shù)，評估其潛在應(yīng)用，并指導(dǎo)組織采用適當(dāng)?shù)娜斯ぶ悄芄ぞ摺?7. Work collaboratively with other departments to integrate AI capabilities into various business processes, products, and services. 跨部門合作，將人工智能整合到業(yè)務(wù)流程、產(chǎn)品和服務(wù)中。 8. Ensure the development and maintenance of a robust AI infrastructure, including data pipelines, computational resources, and data storage. 確保開發(fā)和維護強大的人工智能基礎(chǔ)設(shè)施，包括管線數(shù)據(jù)、計算資源和數(shù)據(jù)存儲。 9. Oversee AI security measures, including data protection, encryption, access controls, and compliance with regulations. 監(jiān)督人工智能安全措施的執(zhí)行，包括數(shù)據(jù)保護、加密、訪問控制以及遵守法規(guī)。 10. Develop and manage the department's budget, optimizing resource allocation in alignment with business priorities. 管理并優(yōu)化部門預(yù)算，根據(jù)業(yè)務(wù)優(yōu)先級優(yōu)化資源分配。 The Requirement職位要求 1. A Master's or Ph.D. in Artificial Intelligence, Computer Science, or a related field. 擁有人工智能、計算機科學(xué)或相關(guān)領(lǐng)域的碩士或博士學(xué)位。 2. Proven experience in AI leadership roles, with a track record of AI technology development and implementation. 在人工智能領(lǐng)域擔(dān)任過領(lǐng)導(dǎo)角色，并具備豐富的人工智能技術(shù)開發(fā)和實施經(jīng)驗。 3. In-depth knowledge of AI technologies, machine learning, natural language processing, and computer vision. 對人工智能技術(shù)、機器學(xué)習(xí)、自然語言處理和計算機視覺有深入了解。 4. Exceptional leadership, team-building, and communication skills. 具備卓越的領(lǐng)導(dǎo)力、團隊建設(shè)和溝通能力。 5. Strong problem-solving abilities and a results-oriented mindset. 具備較強的解決問題的能力和注重結(jié)果的心態(tài)。 6. Knowledge of AI ethics and regulations. 了解人工智能倫理和法規(guī)知識。 7. Demonstrated commitment to ethical AI practices. 確保人工智能實踐符合道德標(biāo)準(zhǔn)。 NOTICE: Please provide profile in English and Chinese. 請?zhí)峁┠闹杏⑽暮啔v。
YC Tong
Chief Science Officer (CSO) 首席科學(xué)官 The Company 公司簡介 A leading Multinational Technology company dedicated to leveraging the power of big data to drive innovation, optimize operations, and enhance customer experiences. 領(lǐng)先的跨國科技公司致力于利用大數(shù)據(jù)的力量推動創(chuàng)新、優(yōu)化運營，并提高顧客體驗。 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)科團隊，負責(zé)開發(fā)先進的數(shù)據(jù)模型、預(yù)測分析和機器學(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)化為可操作的見解和策略，以推動數(shù)據(jù)驅(qū)動的決策過程。 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)計與維護，以提高數(shù)據(jù)收集、存儲和處理的效率。 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)展動態(tài)，確保其在公司中能有效運用。 7. Foster a culture of innovation by encouraging research and development activities that drive data science excellence. 推動數(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，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、訪問控制和遵守數(shù)據(jù)保護法規(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. 制定和管理部門的預(yù)算，并優(yōu)化資源分配，以符合戰(zhàn)略重點的需求。 The Requirements 職位要求 1. A Ph.D. in Computer Science, Statistics, Data Science, or a related field. 擁有計算機科學(xué)、統(tǒng)計學(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，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. 對大數(shù)據(jù)、機器學(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、團隊建設(shè)能力和溝通能力。 5. Strong problem-solving abilities and a results-driven mindset. 具備較強的問題解決能力和以結(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)保護和隱私保護法律知識。 NOTICE: Please provide profile in English and Chinese. 請?zhí)峁┠闹杏⑽暮啔v。
YC Tong
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