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Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Key Responsibilities
- Collect, process, and analyze large datasets from various sources to support business objectives and product development.
- Develop and deploy machine learning models and algorithms to solve complex business problems and improve customer experiences.
- Perform data exploration and visualization to uncover trends, patterns, and insights.
- Collaborate with cross-functional teams, including sales, marketing and product managers/engineers, and business analysts, to integrate data-driven solutions.
- Communicate findings and insights to stakeholders through clear and compelling data visualizations and reports.
- Stay current with the latest advancements in data science, machine learning, AI and industry trends to continuously enhance our data and analytics capabilities.
- Research and apply multidisciplinary techniques, findings and approaches to solutions driving the business’ understanding of its market, its internal operations, and its opportunities
- Review, implement and analyze algorithms that will substantially improve analytics capability of the business
Key Skills
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