Lenovo

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