<div> <div> <div>职位描述</div> <div><p>利用滴滴海量的出行数据，对道路状态、交通流量、司机驾驶习惯等进行建模， 使用数据挖掘和机器学习技术发现路网变更情报和行程异常风险，提升滴滴用户的出行体验和平台效率。</p></div> </div> <h2>任职要求</h2> <div> <p>1. 本科以上学历，数学、计算机、通讯相关专业，2年以上工作经验</p> <p>2. 有交通、时空等领域数据挖掘经验，掌握回归/聚类/树模型/深度模型等基础算法</p> <p>3. 熟练使用Pytorch/Xgboost/Sklearn/Pandas等算法工具，并能够使用Spark/Hadoop等大数据工具，熟悉QGIS等地理可视化分析工具者优先</p> <p>4. 有地图算法/多模态融合/异常检测/地理信息系统等行业经验者优先</p> </div> </div>

Beijing, China

Didi Global Inc. is the world’s leading mobility technology platform. It offers a wide range of app-based services across Asia-Pacific, Latin America, and Africa, as well as in Central Asia and Russia, including ride hailing, taxi hailing, chauffeur, hitch, and other forms of shared mobility, as well as auto solutions, food delivery, intra-city freight, and financial services.

Didi provides car owners, drivers, and delivery partners with flexible work and income opportunities. It is committed to collaborating with policymakers, the taxi industry, the automobile industry, and the communities to solve the world’s transportation, environmental, and employment challenges through the use of AI technology and localized smart transportation innovations. Didi strives to create better life experiences and greater social value by building a safe, inclusive, and sustainable transportation and local services ecosystem for cities of the future.

China

Haidian, Beijing, China

Didi

数据挖掘高级算法工程师 (J250401007)

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数据挖掘高级算法工程师 (J250401007)

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