Lenovo

Job Responsibilities

1.       Be responsible for PC service parts quality analysis: build up prediction and early warning models: Utilize historical Service quality data to achieve dynamic prediction of service parts quality, detect potential parts quality risks in advance, issue timely warnings, provide strong support for service parts quality control.

a)       In - depth AI - driven Data Mining of Spare Parts Quality Data: Apply advanced AI technologies, such as machine learning algorithms to comprehensively mine the PC service parts quality data. Precisely identify potential quality risk factors from massive quality data.

b)      Data Visualization and Report Generation: Develop interactive data visualization interfaces to display key indicator, trend changes, and abnormal situations. Regularly generate high - quality analysis reports.

2.       Be responsible for PC service Parts Quality big data platform operation:

a)       Conduct data processing and quality analysis based on Java and big data frameworks (such as Spark and Flink). Write complex Java code, Spark SQL, and Hive SQL statements to clean, transform, and deeply analyze the collected data.

b)      Data Platform Maintenance and Performance Optimization: Be responsible for the daily maintenance and performance optimization of the big data platform. Use Java and related technologies to solve problems that occur during the platform operation. Continuously optimize data processing processes and algorithms to improve data processing efficiency and analysis accuracy, ensuring the stable and efficient operation of the data platform to meet the growing business needs.

Job Requirements

A.      Educational Background: A bachelor's degree or above, with a preference for majors related to computer science, data science,

B.       Work Experience: 3 - 6 years of relevant data analysis experience, with at least 2 years focused on the PC parts quality management or quality data analysis of similar manufacturing products,

C.      Familiar with entire supply chain process of PC parts production, inspection, storage, and transportation.

D.      Skill Requirements.

a)       Have a thorough command of the Java language, be familiar with common Java development frameworks (such as Spring Boot and Spring Cloud), and possess a good object - oriented programming concept and code - writing habits.

b)      Be proficient in Python, master machine learning and deep - learning frameworks (such as TensorFlow and PyTorch), and be able to independently complete complex quality data mining and modeling tasks.

c)       Be proficient in big data development technologies, including the Hadoop ecosystem (HDFS, MapReduce, Yarn, Hive, etc.), big data processing frameworks such as Spark and Flink, and message queue technologies such as Kafka.

d)      Be skilled in using SQL for data query, cleaning, and analysis. Be familiar with database management systems (such as MySQL and Oracle) and have the ability to design and manage data warehouses.

e)       Be good at using data visualization tools to create high - quality, highly interactive quality data reports and dashboards.

f)        Have basic English communication skills, be able to read English technical documents, and participate in international business exchanges.