Supply Chain Principal Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Why Work at Lenovo

Here at Lenovo, we believe in smarter technology for all, so we spend our time building a society that’s brighter and more inclusive. And we go big. No, not big—huge.

We’re 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.

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