基本信息

职位编号:
100017184
工作领域:
Software Engineering
国家/地区:
中国
省:
天津
市:
天津（Tianjin）
日期:
星期一, 6 月 15, 2026
其他工作城市: 
* China

为什么选择联想

联想文化，我们称之为 “We Are Lenovo”（我们，就是联想），其核心是：“说到做到，尽心尽力，成就客户”。

联想集团是一家年收入830亿美元的全球化科技巨头，位列《财富》世界500强第196名，服务遍布全球180个市场数以百万计的客户。为实现“智能，为每一个可能” 的公司愿景，联想在不断夯实全球个人电脑市场冠军地位的基础上，积极构建全栈式的计算能力，现已拥有包括人工智能赋能、人工智能导向和人工智能优化的终端、基础设施、软件、解决方案和服务在内的完整产品路线图，包括个人电脑、工作站、智能手机、平板电脑等终端产品，服务器、存储、边缘计算、高性能计算以及软件定义等基础设施产品。这一变革与联想改变世界的创新一起，共同为世界各地的人们成就一个更加包容、值得信赖的智慧未来。联想集团有限公司在香港交易所上市（港交所：992）（美国预托证券代号：LNVGY）。

欢迎访问联想官方网站 https://www.lenovo.com，并关注“联想集团”微博及微信公众号等社交媒体官方账号，或关注“联想招聘”公众号，获取联想最新动态。

职位描述和要求:

Job Responsibilities
Participate in the full lifecycle design and development of data products, including product research, solution design, data pipeline construction, data mining and modeling, as well as continuous product maintenance.
Be responsible for data collection, cleaning, storage, and analysis to support business decision-making optimization and drive data-driven business model transformation and growth.
Deeply understand of business requirements and data requirements, design and implement efficient data processing workflows, and enhance the stability and performance of data systems.
Collaborate with business teams to explore the application potential of data in multiple scenarios, supporting product innovation and business growth.
Write high-quality technical documentation to support technology transfer and knowledge sharing of data solutions.

Job Requirements
Familiarity with big data tools and frameworks (such as Hadoop, Hive, Spark, Kafka, Sqoop, etc.). Relevant development experience is preferred.
Proficiency in data analysis and machine learning libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, with the ability to independently complete end-to-end tasks from data cleaning, feature engineering, model training, evaluation, to debugging and deployment.
Proficient in SQL, capable of writing complex SQL queries (multi-table joins, window functions, subqueries, CTEs), and familiar with big data query tools like Hive and Spark SQL.
Skilled in using relational and non-relational databases such as MySQL, PostgreSQL, and Redis, with knowledge of database mechanisms and performance optimization techniques. Proficient in SQL or other data analysis tools.
Ability to implement complex statistical formulas, attribution analysis, and causal inference models using Python and SQL.
Solid data processing and analysis skills, capable of designing and implementing efficient data processing workflows. Deep understanding of data-driven business models, with the ability to translate data into business value.
Strong teamwork spirit, able to efficiently participate in cross-departmental collaborative projects and drive the implementation of data solutions.
Bachelor’s/Master’s degree in Computer Science, AI, or a related field.
2-5 years of experience in data processing and data engineering.
Engineering experience with Agent or Prompt Engineering is preferred.
Strong proficiency in English across listening, speaking, reading, and writing.

其他工作城市: 
* China
* China
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