Supply Chain Principal Data Scientist

Job description

Why Work at Lenovo

General Information

Req #


Career area:

Data Management and Analytics




Central Singapore




Monday, December 13, 2021

Working time:


Additional Locations:

  • SINGAPORE - South East - Singapore

Why Work at Lenovo

Here at Lenovo, we believe in smarter technology that builds a brighter, more sustainable and inclusive future for our customers, colleagues, communities, and the planet.

And we go big. No, not big—huge.

We’re not just a US$70 billion revenue Fortune Global 500 company, we’re one of Fortune’s Most Admired. We’re transforming the world through intelligent transformation, offering the world’s most complete portfolio of smart devices, infrastructure, and solutions. With more than 71,500 employees doing business in 180 markets, we help millions—not just the select few—experience our version of a smarter future.

The one thing that’s missing? Well… you...

Description And Requirements

Lenovo (HKSE: 992) (ADR: LNVGY) is a US$60 billion revenue Fortune Global 500 company serving customers in 180 markets around the world. Focused on a bold vision to deliver smarter technology for all, we are developing world-changing technologies that power (through devices and infrastructure) and empower (through solutions, services and software) millions of customers every day and together create a more inclusive, trustworthy and sustainable digital society for everyone, everywhere. To find out more visit https://www.lenovo.com,and read about the latest news via our StoryHub.

As a Principal Data Scientist, you will be responsible for:


  • Work with the Analytics Director to define key questions and prioritize project work streams and initiatives that will transform the business and deliver business value


  • Clearly understand the business requirements, objectives, and market before developing and implementing analysis strategies, tools, and solutions


  • Develop, test, and deliver analytics solutions to enhance Lenovo’s supply chain operations via descriptive, predictive, and prescriptive analytics (through proof of concepts and enterprise grade solutions)


  • Experience with large-scale algorithms extracting and analyzing data from multiple and complex data sets and ability to convert complex them into easy-to-understand insights and action plans


  • Manage data science and analytics work streams working closely with internal teams together with colleagues within department and other Lenovo teams


  • Present data-driven insights from multiple data sources (structured or unstructured) and help instill analytics solutions into day-to-day BMS in Supply chain functions for wider impact


  • Researching and applying multidisciplinary techniques and tools, findings, algorithms, and approaches to solutions driving the business understanding of its market and data


  • Building, validating, and prioritizing an analytics pipeline to improve demand plans, service levels, reduce inventory, optimize routing, and other supply chain KPI’s


  • Work with analytics vendors especially in supply chain to build out capabilities in supply chain analytics and eventually migrate in house


  • Collaborating with Data and IT teams and other internal groups to address data quality, master data management, data governance and metadata management goals and issues


  • Assist with the talent and skill-set development of a multi-disciplinary team to become key decision influencers, This location will be based in Beijing, China

,Position Requirements

,- Bachelor’s degree in Engineering, IT, Mathematics, Sciences, Economics, or other technical discipline

,- A graduate degree (Masters/PhD in a technical discipline or master’s in business administration) considered a plus

,- Candidates with minimum 6-10 years’ experience across analytics practices with a strong focus on supply chain

,- Advanced knowledge on supply chain operations, experience in consumer electronics industry a big plus

,- Ability to understand ETL processes, and extract data from large and complex data sets and convert them into easy-to-understand insights and action plans

,- Strong statistical skills and proficient database & programming skills to quickly prototype experimental solutions and develop robust, scalable, and maintainable production systems

,- Project management and time management skills. PMP certification considered a plus.

,- Effective communication, presentation, and strong interpersonal skills, with capacity to interact with all levels in the organization (including regular exposure to executive management)

,- Expert knowledge of advanced analytics, machine learning methods and market leading data analysis tools and platforms

,- Proficiency with tools used to analyze data and develop algorithms and statistical analytics solutions such as SQL, Python, R, Java, or SAS

,- Experience using data visualization tools such as Microsoft Power BI, Qlik or Tableau

,- Proficiency in MS Office tools such as Word, Excel, and PowerPoint

,- Strong problem solving and analytical capability to tackle complicated issues

,- Bias for action, drive for results while demonstrating positive attitude and enthusiasm

,- Experience working at a global enterprise is a plus

  • SINGAPORE - South East - Singapore

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